Papers
Semi-convolutional Operators for Instance Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Novotny_2018_ECCV,
author = {Novotny, David and Albanie, Samuel and Larlus, Diane and Vedaldi, Andrea},
title = {Semi-convolutional Operators for Instance Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learnable PINs: Cross-Modal Embeddings for Person Identity-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nagrani_2018_ECCV,
author = {Nagrani, Arsha and Albanie, Samuel and Zisserman, Andrew},
title = {Learnable PINs: Cross-Modal Embeddings for Person Identity},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning-based Video Motion Magnification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Oh_2018_ECCV,
author = {Oh, Tae-Hyun and Jaroensri, Ronnachai and Kim, Changil and Elgharib, Mohamed and Durand, Fr'edo and Freeman, William T. and Matusik, Wojciech},
title = {Learning-based Video Motion Magnification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xiaoxiao and Loy, Chen Change},
title = {Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CBAM: Convolutional Block Attention Module-
[pdf]
[arXiv]
[bibtex]@InProceedings{Woo_2018_ECCV,
author = {Woo, Sanghyun and Park, Jongchan and Lee, Joon-Young and Kweon, In So},
title = {CBAM: Convolutional Block Attention Module},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BodyNet: Volumetric Inference of 3D Human Body Shapes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Varol_2018_ECCV,
author = {Varol, Gul and Ceylan, Duygu and Russell, Bryan and Yang, Jimei and Yumer, Ersin and Laptev, Ivan and Schmid, Cordelia},
title = {BodyNet: Volumetric Inference of 3D Human Body Shapes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces-
[pdf]
[bibtex]@InProceedings{Ikehata_2018_ECCV,
author = {Ikehata, Satoshi},
title = {CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Spatio-temporal Transformer Network for Video Restoration-
[pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Tae Hyun and Sajjadi, Mehdi S. M. and Hirsch, Michael and Scholkopf, Bernhard},
title = {Spatio-temporal Transformer Network for Video Restoration},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PS-FCN: A Flexible Learning Framework for Photometric Stereo-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Guanying and Han, Kai and Wong, Kwan-Yee K.},
title = {PS-FCN: A Flexible Learning Framework for Photometric Stereo},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Conditional Networks for Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Fang and Zhao, Jian and Yan, Shuicheng and Feng, Jiashi},
title = {Dynamic Conditional Networks for Few-Shot Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Factorised Inverse-Sketching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pang_2018_ECCV,
author = {Pang, Kaiyue and Li, Da and Song, Jifei and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.},
title = {Deep Factorised Inverse-Sketching},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Separating Reflection and Transmission Images in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wieschollek_2018_ECCV,
author = {Wieschollek, Patrick and Gallo, Orazio and Gu, Jinwei and Kautz, Jan},
title = {Separating Reflection and Transmission Images in the Wild},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mopuri_2018_ECCV,
author = {Mopuri, Konda Reddy and Uppala, Phani Krishna and Babu, R. Venkatesh},
title = {Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Rendering Portraitures from Monocular Camera and Beyond-
[pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Xiangyu and Sun, Deqing and Liu, Sifei and Ren, Wenqi and Zhang, Yu-Jin and Yang, Ming-Hsuan and Sun, Jian},
title = {Rendering Portraitures from Monocular Camera and Beyond},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object Level Visual Reasoning in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Baradel_2018_ECCV,
author = {Baradel, Fabien and Neverova, Natalia and Wolf, Christian and Mille, Julien and Mori, Greg},
title = {Object Level Visual Reasoning in Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dense Pose Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Neverova_2018_ECCV,
author = {Neverova, Natalia and Guler, Riza Alp and Kokkinos, Iasonas},
title = {Dense Pose Transfer},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Si_2018_ECCV,
author = {Si, Chenyang and Jing, Ya and Wang, Wei and Wang, Liang and Tan, Tieniu},
title = {Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Segment via Cut-and-Paste-
[pdf]
[arXiv]
[bibtex]@InProceedings{Remez_2018_ECCV,
author = {Remez, Tal and Huang, Jonathan and Brown, Matthew},
title = {Learning to Segment via Cut-and-Paste},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Boosting for Image Denoising-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Chang and Xiong, Zhiwei and Tian, Xinmei and Wu, Feng},
title = {Deep Boosting for Image Denoising},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fictitious GAN: Training GANs with Historical Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ge_2018_ECCV,
author = {Ge, Hao and Xia, Yin and Chen, Xu and Berry, Randall and Wu, Ying},
title = {Fictitious GAN: Training GANs with Historical Models},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-Supervised Relative Depth Learning for Urban Scene Understanding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Huaizu and Larsson, Gustav and Shakhnarovich, Michael Maire Greg and Learned-Miller, Erik},
title = {Self-Supervised Relative Depth Learning for Urban Scene Understanding},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss-
[pdf]
[bibtex]@InProceedings{Jiao_2018_ECCV,
author = {Jiao, Jianbo and Cao, Ying and Song, Yibing and Lau, Rynson},
title = {Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bi-box Regression for Pedestrian Detection and Occlusion Estimation-
[pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Chunluan and Yuan, Junsong},
title = {Bi-box Regression for Pedestrian Detection and Occlusion Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
C-WSL: Count-guided Weakly Supervised Localization-
[pdf]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Mingfei and Li, Ang and Yu, Ruichi and Morariu, Vlad I. and Davis, Larry S.},
title = {C-WSL: Count-guided Weakly Supervised Localization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Convolutional Networks with Adaptive Inference Graphs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Veit_2018_ECCV,
author = {Veit, Andreas and Belongie, Serge},
title = {Convolutional Networks with Adaptive Inference Graphs},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Summarizing First-Person Videos from Third Persons' Points of View-
[pdf]
[arXiv]
[bibtex]@InProceedings{HO_2018_ECCV,
author = {HO, HSUAN-I and Chiu, Wei-Chen and Wang, Yu-Chiang Frank},
title = {Summarizing First-Person Videos from Third Persons' Points of View},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Programmable Triangulation Light Curtains-
[pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Jian and Bartels, Joseph and Whittaker, William and Sankaranarayanan, Aswin C. and Narasimhan, Srinivasa G.},
title = {Programmable Triangulation Light Curtains},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Single-View 3D Reconstruction with Limited Pose Supervision-
[pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Guandao and Cui, Yin and Belongie, Serge and Hariharan, Bharath},
title = {Learning Single-View 3D Reconstruction with Limited Pose Supervision},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ali_2018_ECCV,
author = {Ali, T M Feroz and Chaudhuri, Subhasis},
title = {Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Snap Angle Prediction for 360° Panoramas-
[pdf]
[bibtex]@InProceedings{Xiong_2018_ECCV,
author = {Xiong, Bo and Grauman, Kristen},
title = {Snap Angle Prediction for 360° Panoramas},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Memory Aware Synapses: Learning what (not) to forget-
[pdf]
[arXiv]
[bibtex]@InProceedings{Aljundi_2018_ECCV,
author = {Aljundi, Rahaf and Babiloni, Francesca and Elhoseiny, Mohamed and Rohrbach, Marcus and Tuytelaars, Tinne},
title = {Memory Aware Synapses: Learning what (not) to forget },
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Recasens_2018_ECCV,
author = {Recasens, Adria and Kellnhofer, Petr and Stent, Simon and Matusik, Wojciech and Torralba, Antonio},
title = {Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly- and Semi-Supervised Panoptic Segmentation-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Qizhu and Arnab, Anurag and Torr, Philip H.S.},
title = {Weakly- and Semi-Supervised Panoptic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
K-convexity shape priors for segmentation-
[pdf]
[bibtex]@InProceedings{Isack_2018_ECCV,
author = {Isack, Hossam and Gorelick, Lena and Ng, Karin and Veksler, Olga and Boykov, Yuri},
title = {K-convexity shape priors for segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Nanyang and Zhang, Yinda and Li, Zhuwen and Fu, Yanwei and Liu, Wei and Jiang, Yu-Gang},
title = {Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Boosted Attention: Leveraging Human Attention for Image Captioning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Shi and Zhao, Qi},
title = {Boosted Attention: Leveraging Human Attention for Image Captioning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering-
[pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Tianshu and Yan, Junchi and Liu, Wei and Li, Baoxin},
title = {Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence-
[pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Shao-Hua and Huh, Minyoung and Liao, Yuan-Hong and Zhang, Ning and Lim, Joseph J.},
title = {Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Oberweger_2018_ECCV,
author = {Oberweger, Markus and Rad, Mahdi and Lepetit, Vincent},
title = {Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Inpainting for Irregular Holes Using Partial Convolutions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Guilin and Reda, Fitsum A. and Shih, Kevin J. and Wang, Ting-Chun and Tao, Andrew and Catanzaro, Bryan},
title = {Image Inpainting for Irregular Holes Using Partial Convolutions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features-
[pdf]
[arXiv]
[bibtex]@InProceedings{Owens_2018_ECCV,
author = {Owens, Andrew and Efros, Alexei A.},
title = {Audio-Visual Scene Analysis with Self-Supervised Multisensory Features},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fighting Fake News: Image Splice Detection via Learned Self-Consistency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huh_2018_ECCV,
author = {Huh, Minyoung and Liu, Andrew and Owens, Andrew and Efros, Alexei A.},
title = {Fighting Fake News: Image Splice Detection via Learned Self-Consistency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-End Joint Semantic Segmentation of Actors and Actions in Video-
[pdf]
[bibtex]@InProceedings{Ji_2018_ECCV,
author = {Ji, Jingwei and Buch, Shyamal and Soto, Alvaro and Niebles, Juan Carlos},
title = {End-to-End Joint Semantic Segmentation of Actors and Actions in Video},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Text Correction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mazaheri_2018_ECCV,
author = {Mazaheri, Amir and Shah, Mubarak},
title = {Visual Text Correction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Co-Training for Semi-Supervised Image Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qiao_2018_ECCV,
author = {Qiao, Siyuan and Shen, Wei and Zhang, Zhishuai and Wang, Bo and Yuille, Alan},
title = {Deep Co-Training for Semi-Supervised Image Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Progressive Neural Architecture Search-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Chenxi and Zoph, Barret and Neumann, Maxim and Shlens, Jonathon and Hua, Wei and Li, Li-Jia and Fei-Fei, Li and Yuille, Alan and Huang, Jonathan and Murphy, Kevin},
title = {Progressive Neural Architecture Search},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Explainable Neural Computation via Stack Neural Module Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Ronghang and Andreas, Jacob and Darrell, Trevor and Saenko, Kate},
title = {Explainable Neural Computation via Stack Neural Module Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nagarajan_2018_ECCV,
author = {Nagarajan, Tushar and Grauman, Kristen},
title = {Attributes as Operators: Factorizing Unseen Attribute-Object Compositions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data-
[pdf]
[bibtex]@InProceedings{You_2018_ECCV,
author = {You, Chong and Li, Chi and Robinson, Daniel P. and Vidal, Rene},
title = {Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RCAA: Relational Context-Aware Agents for Person Search-
[pdf]
[bibtex]@InProceedings{Chang_2018_ECCV,
author = {Chang, Xiaojun and Huang, Po-Yao and Shen, Yi-Dong and Liang, Xiaodan and Yang, Yi and Hauptmann, Alexander G.},
title = {RCAA: Relational Context-Aware Agents for Person Search},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Product Quantization Network for Fast Image Retrieval-
[pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Tan and Yuan, Junsong and Fang, Chen and Jin, Hailin},
title = {Product Quantization Network for Fast Image Retrieval},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hand Pose Estimation via Latent 2.5D Heatmap Regression-
[pdf]
[bibtex]@InProceedings{Iqbal_2018_ECCV,
author = {Iqbal, Umar and Molchanov, Pavlo and Gall, Thomas Breuel Juergen and Kautz, Jan},
title = {Hand Pose Estimation via Latent 2.5D Heatmap Regression},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal Unsupervised Image-to-image Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Xun and Liu, Ming-Yu and Belongie, Serge and Kautz, Jan},
title = {Multimodal Unsupervised Image-to-image Translation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Depth-aware CNN for RGB-D Segmentation-
[pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Weiyue and Neumann, Ulrich},
title = {Depth-aware CNN for RGB-D Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Coreference Resolution in Visual Dialog using Neural Module Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kottur_2018_ECCV,
author = {Kottur, Satwik and Moura, Jose M. F. and Parikh, Devi and Batra, Dhruv and Rohrbach, Marcus},
title = {Visual Coreference Resolution in Visual Dialog using Neural Module Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Blind Video Temporal Consistency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lai_2018_ECCV,
author = {Lai, Wei-Sheng and Huang, Jia-Bin and Wang, Oliver and Shechtman, Eli and Yumer, Ersin and Yang, Ming-Hsuan},
title = {Learning Blind Video Temporal Consistency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse Image-to-Image Translation via Disentangled Representations-
[pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Hsin-Ying and Tseng, Hung-Yu and Huang, Jia-Bin and Singh, Maneesh and Yang, Ming-Hsuan},
title = {Diverse Image-to-Image Translation via Disentangled Representations},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Blend Photos-
[pdf]
[bibtex]@InProceedings{Hung_2018_ECCV,
author = {Hung, Wei-Chih and Zhang, Jianming and Shen, Xiaohui and Lin, Zhe and Lee, Joon-Young and Yang, Ming-Hsuan},
title = {Learning to Blend Photos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Switchable Temporal Propagation Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Sifei and Zhong, Guangyu and De Mello, Shalini and Gu, Jinwei and Jampani, Varun and Yang, Ming-Hsuan and Kautz, Jan},
title = {Switchable Temporal Propagation Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deeply Learned Compositional Models for Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Wei and Yu, Pei and Wu, Ying},
title = {Deeply Learned Compositional Models for Human Pose Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Siyang and Seybold, Bryan and Vorobyov, Alexey and Lei, Xuejing and Kuo, C.-C. Jay},
title = {Unsupervised Video Object Segmentation with Motion-based Bilateral Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CornerNet: Detecting Objects as Paired Keypoints-
[pdf]
[arXiv]
[bibtex]@InProceedings{Law_2018_ECCV,
author = {Law, Hei and Deng, Jia},
title = {CornerNet: Detecting Objects as Paired Keypoints},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised holistic image generation from key local patches-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Donghoon and Yun, Sangdoo and Choi, Sungjoon and Yoo, Hwiyeon and Yang, Ming-Hsuan and Oh, Songhwai},
title = {Unsupervised holistic image generation from key local patches},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Group Normalization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Yuxin and He, Kaiming},
title = {Group Normalization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generalizing A Person Retrieval Model Hetero- and Homogeneously-
[pdf]
[bibtex]@InProceedings{Zhong_2018_ECCV,
author = {Zhong, Zhun and Zheng, Liang and Li, Shaozi and Yang, Yi},
title = {Generalizing A Person Retrieval Model Hetero- and Homogeneously},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CAR-Net: Clairvoyant Attentive Recurrent Network-
[pdf]
[bibtex]@InProceedings{Sadeghian_2018_ECCV,
author = {Sadeghian, Amir and Legros, Ferdinand and Voisin, Maxime and Vesel, Ricky and Alahi, Alexandre and Savarese, Silvio},
title = {CAR-Net: Clairvoyant Attentive Recurrent Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal Hamming Hashing-
[pdf]
[bibtex]@InProceedings{Cao_2018_ECCV,
author = {Cao, Yue and Liu, Bin and Long, Mingsheng and Wang, Jianmin},
title = {Cross-Modal Hamming Hashing},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction-
[pdf]
[bibtex]@InProceedings{Shi_2018_ECCV,
author = {Shi, Yifei and Xu, Kai and Niessner, Matthias and Rusinkiewicz, Szymon and Funkhouser, Thomas},
title = {PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency-
[pdf]
[bibtex]@InProceedings{Zou_2018_ECCV,
author = {Zou, Yuliang and Luo, Zelun and Huang, Jia-Bin},
title = {DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Distractor-aware Siamese Networks for Visual Object Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Zheng and Wang, Qiang and Li, Bo and Wu, Wei and Yan, Junjie and Hu, Weiming},
title = {Distractor-aware Siamese Networks for Visual Object Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multiresolution Tree Networks for 3D Point Cloud Processing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gadelha_2018_ECCV,
author = {Gadelha, Matheus and Wang, Rui and Maji, Subhransu},
title = {Multiresolution Tree Networks for 3D Point Cloud Processing},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Propagating LSTM: 3D Pose Estimation based on Joint Interdependency-
[pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Kyoungoh and Lee, Inwoong and Lee, Sanghoon},
title = {Propagating LSTM: 3D Pose Estimation based on Joint Interdependency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network-
[pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Woojae and Kim, Jongyoo and Ahn, Sewoong and Kim, Jinwoo and Lee, Sanghoon},
title = {Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Deng-Ping and Cheng, Ming-Ming and Liu, Jiang-Jiang and Gao, Shang-Hua and Hou, Qibin and Borji, Ali},
title = {Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Face Recognition with Contrastive Convolution-
[pdf]
[bibtex]@InProceedings{Han_2018_ECCV,
author = {Han, Chunrui and Shan, Shiguang and Kan, Meina and Wu, Shuzhe and Chen, Xilin},
title = {Face Recognition with Contrastive Convolution},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement-
[pdf]
[bibtex]@InProceedings{Gan_2018_ECCV,
author = {Gan, Yukang and Xu, Xiangyu and Sun, Wenxiu and Lin, Liang},
title = {Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Domain Adaptation through Synthesis for Unsupervised Person Re-identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bak_2018_ECCV,
author = {Bak, Slawomir and Carr, Peter and Lalonde, Jean-Francois},
title = {Domain Adaptation through Synthesis for Unsupervised Person Re-identification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adding Attentiveness to the Neurons in Recurrent Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Pengfei and Xue, Jianru and Lan, Cuiling and Zeng, Wenjun and Gao, Zhanning and Zheng, Nanning},
title = {Adding Attentiveness to the Neurons in Recurrent Neural Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Stereoscopic Image Style Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gong_2018_ECCV,
author = {Gong, Xinyu and Huang, Haozhi and Ma, Lin and Shen, Fumin and Liu, Wei and Zhang, Tong},
title = {Neural Stereoscopic Image Style Transfer},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Dynamic Memory Networks for Object Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Tianyu and Chan, Antoni B.},
title = {Learning Dynamic Memory Networks for Object Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Gray-box Adversarial Training-
[pdf]
[arXiv]
[bibtex]@InProceedings{Vivek_2018_ECCV,
author = {Vivek, B. S. and Mopuri, Konda Reddy and Babu, R. Venkatesh},
title = {Gray-box Adversarial Training},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2018_ECCV,
author = {Luo, Zixin and Shen, Tianwei and Zhou, Lei and Zhu, Siyu and Zhang, Runze and Yao, Yao and Fang, Tian and Quan, Long},
title = {GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Minjun and Huang, Haozhi and Ma, Lin and Liu, Wei and Zhang, Tong and Jiang, Yugang},
title = {Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling-
[pdf]
[bibtex]@InProceedings{Santo_2018_ECCV,
author = {Santo, Hiroaki and Waechter, Michael and Samejima, Masaki and Sugano, Yusuke and Matsushita, Yasuyuki},
title = {Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries-
[pdf]
[bibtex]@InProceedings{Shao_2018_ECCV,
author = {Shao, Dian and Xiong, Yu and Zhao, Yue and Huang, Qingqiu and Qiao, Yu and Lin, Dahua},
title = {Find and Focus: Retrieve and Localize Video Events with Natural Language Queries},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane-
[pdf]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Hao and Lian, Dongze and Gao, Shenghua and Geng, Yanlin},
title = {Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Super-Identity Convolutional Neural Network for Face Hallucination-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Kaipeng and Zhang, Zhanpeng and Cheng, Chia-Wen and Hsu, Winston H. and Qiao, Yu and Liu, Wei and Zhang, Tong},
title = {Super-Identity Convolutional Neural Network for Face Hallucination},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network-
[pdf]
[bibtex]@InProceedings{Bai_2018_ECCV,
author = {Bai, Yancheng and Zhang, Yongqiang and Ding, Mingli and Ghanem, Bernard},
title = {SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Face Super-resolution Guided by Facial Component Heatmaps-
[pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Xin and Fernando, Basura and Ghanem, Bernard and Porikli, Fatih and Hartley, Richard},
title = {Face Super-resolution Guided by Facial Component Heatmaps},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ML-LocNet: Improving Object Localization with Multi-view Learning Network-
[pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Xiaopeng and Yang, Yang and Feng, Jiashi},
title = {ML-LocNet: Improving Object Localization with Multi-view Learning Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Facial Expression Recognition with Inconsistently Annotated Datasets-
[pdf]
[bibtex]@InProceedings{Zeng_2018_ECCV,
author = {Zeng, Jiabei and Shan, Shiguang and Chen, Xilin},
title = {Facial Expression Recognition with Inconsistently Annotated Datasets},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Question Answering as a Meta Learning Task-
[pdf]
[arXiv]
[bibtex]@InProceedings{Teney_2018_ECCV,
author = {Teney, Damien and van den Hengel, Anton},
title = {Visual Question Answering as a Meta Learning Task},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition-
[pdf]
[bibtex]@InProceedings{Weng_2018_ECCV,
author = {Weng, Junwu and Liu, Mengyuan and Jiang, Xudong and Yuan, Junsong},
title = {Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Dense 3D Reconstruction with a Stereo Event Camera-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Yi and Gallego, Guillermo and Rebecq, Henri and Kneip, Laurent and Li, Hongdong and Scaramuzza, Davide},
title = {Semi-Dense 3D Reconstruction with a Stereo Event Camera},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
What do I Annotate Next? An Empirical Study of Active Learning for Action Localization-
[pdf]
[bibtex]@InProceedings{Heilbron_2018_ECCV,
author = {Heilbron, Fabian Caba and Lee, Joon-Young and Jin, Hailin and Ghanem, Bernard},
title = {What do I Annotate Next? An Empirical Study of Active Learning for Action Localization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Robert_2018_ECCV,
author = {Robert, Thomas and Thome, Nicolas and Cord, Matthieu},
title = {HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-Calibrating Isometric Non-Rigid Structure-from-Motion-
[pdf]
[bibtex]@InProceedings{Parashar_2018_ECCV,
author = {Parashar, Shaifali and Bartoli, Adrien and Pizarro, Daniel},
title = {Self-Calibrating Isometric Non-Rigid Structure-from-Motion},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jing_2018_ECCV,
author = {Jing, Yongcheng and Liu, Yang and Yang, Yezhou and Feng, Zunlei and Yu, Yizhou and Tao, Dacheng and Song, Mingli},
title = {Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Reverse Attention for Salient Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Shuhan and Tan, Xiuli and Wang, Ben and Hu, Xuelong},
title = {Reverse Attention for Salient Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Alwassel_2018_ECCV,
author = {Alwassel, Humam and Heilbron, Fabian Caba and Ghanem, Bernard},
title = {Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diagnosing Error in Temporal Action Detectors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Alwassel_2018_ECCV,
author = {Alwassel, Humam and Heilbron, Fabian Caba and Escorcia, Victor and Ghanem, Bernard},
title = {Diagnosing Error in Temporal Action Detectors},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rhodin_2018_ECCV,
author = {Rhodin, Helge and Salzmann, Mathieu and Fua, Pascal},
title = {Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Massively Parallel Video Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Carreira_2018_ECCV,
author = {Carreira, Joao and Patraucean, Viorica and Mazare, Laurent and Zisserman, Andrew and Osindero, Simon},
title = {Massively Parallel Video Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transductive Centroid Projection for Semi-supervised Large-scale Recognition-
[pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yu and Song, Guanglu and Shao, Jing and Jin, Xiao and Wang, Xiaogang},
title = {Transductive Centroid Projection for Semi-supervised Large-scale Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PSANet: Point-wise Spatial Attention Network for Scene Parsing-
[pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Zhang, Yi and Liu, Shu and Shi, Jianping and Loy, Chen Change and Lin, Dahua and Jia, Jiaya},
title = {PSANet: Point-wise Spatial Attention Network for Scene Parsing},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild-
[pdf]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Mang and Lan, Xiangyuan and Yuen, Pong C.},
title = {Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Supervised Deep Learning with Memory-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang},
title = {Semi-Supervised Deep Learning with Memory},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline-
[pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Zhenbo and Yang, Wei and Meng, Ajin and Lu, Nanxue and Huang, Huan and Ying, Changchun and Huang, Liusheng},
title = {Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Repeatability Is Not Enough: Learning Affine Regions via Discriminability-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mishkin_2018_ECCV,
author = {Mishkin, Dmytro and Radenovic, Filip and Matas, Jiri},
title = {Repeatability Is Not Enough: Learning Affine Regions via Discriminability},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Warped Guidance for Blind Face Restoration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xiaoming and Liu, Ming and Ye, Yuting and Zuo, Wangmeng and Lin, Liang and Yang, Ruigang},
title = {Learning Warped Guidance for Blind Face Restoration},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compressing the Input for CNNs with the First-Order Scattering Transform-
[pdf]
[arXiv]
[bibtex]@InProceedings{Oyallon_2018_ECCV,
author = {Oyallon, Edouard and Belilovsky, Eugene and Zagoruyko, Sergey and Valko, Michal},
title = {Compressing the Input for CNNs with the First-Order Scattering Transform},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Face De-Spoofing: Anti-Spoofing via Noise Modeling-
[pdf]
[bibtex]@InProceedings{Jourabloo_2018_ECCV,
author = {Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming},
title = {Face De-Spoofing: Anti-Spoofing via Noise Modeling},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yi_2018_ECCV,
author = {Yi, Renjiao and Zhu, Chenyang and Tan, Ping and Lin, Stephen},
title = {Faces as Lighting Probes via Unsupervised Deep Highlight Extraction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Hard Example Mining from Videos for Improved Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jin_2018_ECCV,
author = {Jin, SouYoung and RoyChowdhury, Aruni and Jiang, Huaizu and Singh, Ashish and Prasad, Aditya and Chakraborty, Deep and Learned-Miller, Erik},
title = {Unsupervised Hard Example Mining from Videos for Improved Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
On Offline Evaluation of Vision-based Driving Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Codevilla_2018_ECCV,
author = {Codevilla, Felipe and Lopez, Antonio M. and Koltun, Vladlen and Dosovitskiy, Alexey},
title = {On Offline Evaluation of Vision-based Driving Models},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Fundamental Matrix Estimation-
[pdf]
[bibtex]@InProceedings{Ranftl_2018_ECCV,
author = {Ranftl, Rene and Koltun, Vladlen},
title = {Deep Fundamental Matrix Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ContextVP: Fully Context-Aware Video Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Byeon_2018_ECCV,
author = {Byeon, Wonmin and Wang, Qin and Srivastava, Rupesh Kumar and Koumoutsakos, Petros},
title = {ContextVP: Fully Context-Aware Video Prediction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Psychophysics for Making Face Recognition Algorithms More Explainable-
[pdf]
[arXiv]
[bibtex]@InProceedings{RichardWebster_2018_ECCV,
author = {RichardWebster, Brandon and Kwon, So Yon and Clarizio, Christopher and Anthony, Samuel E. and Scheirer, Walter J.},
title = {Visual Psychophysics for Making Face Recognition Algorithms More Explainable},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Muller_2018_ECCV,
author = {Muller, Matthias and Bibi, Adel and Giancola, Silvio and Alsubaihi, Salman and Ghanem, Bernard},
title = {TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Siyuan and Qi, Siyuan and Zhu, Yixin and Xiao, Yinxue and Xu, Yuanlu and Zhu, Song-Chun},
title = {Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gecer_2018_ECCV,
author = {Gecer, Baris and Bhattarai, Binod and Kittler, Josef and Kim, Tae-Kyun},
title = {Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improved Structure from Motion Using Fiducial Marker Matching-
[pdf]
[bibtex]@InProceedings{DeGol_2018_ECCV,
author = {DeGol, Joseph and Bretl, Timothy and Hoiem, Derek},
title = {Improved Structure from Motion Using Fiducial Marker Matching},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Conditional Prior Networks for Optical Flow-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Yanchao and Soatto, Stefano},
title = {Conditional Prior Networks for Optical Flow},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training-
[pdf]
[bibtex]@InProceedings{Zou_2018_ECCV,
author = {Zou, Yang and Yu, Zhiding and Kumar, B.V.K. Vijaya and Wang, Jinsong},
title = {Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DetNet: Design Backbone for Object Detection-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Zeming and Peng, Chao and Yu, Gang and Zhang, Xiangyu and Deng, Yangdong and Sun, Jian},
title = {DetNet: Design Backbone for Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong},
title = {BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Yi and Hu, Liwen and Xing, Jun and Chen, Weikai and Kung, Han-Wei and Tong, Xin and Li, Hao},
title = {HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Network Encapsulation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Hongyang and Guo, Xiaoyang and Ouyang, Bo DaiWanli and Wang, Xiaogang},
title = {Neural Network Encapsulation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Xingyi and Karpur, Arjun and Luo, Linjie and Huang, Qixing},
title = {StarMap for Category-Agnostic Keypoint and Viewpoint Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yikang and Ouyang, Wanli and Zhou, Bolei and Shi, Jianping and Zhang, Chao and Wang, Xiaogang},
title = {Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Fiber Networks for Video Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yunpeng and Kalantidis, Yannis and Li, Jianshu and Yan, Shuicheng and Feng, Jiashi},
title = {Multi-Fiber Networks for Video Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards Human-Level License Plate Recognition-
[pdf]
[bibtex]@InProceedings{Zhuang_2018_ECCV,
author = {Zhuang, Jiafan and Hou, Saihui and Wang, Zilei and Zha, Zheng-Jun},
title = {Towards Human-Level License Plate Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition-
[pdf]
[bibtex]@InProceedings{Yin_2018_ECCV,
author = {Yin, Guojun and Sheng, Lu and Liu, Bin and Yu, Nenghai and Wang, Xiaogang and Shao, Jing and Loy, Chen Change},
title = {Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generalized Loss-Sensitive Adversarial Learning with Manifold Margins-
[pdf]
[bibtex]@InProceedings{Edraki_2018_ECCV,
author = {Edraki, Marzieh and Qi, Guo-Jun},
title = {Generalized Loss-Sensitive Adversarial Learning with Manifold Margins},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose Proposal Networks-
[pdf]
[bibtex]@InProceedings{Sekii_2018_ECCV,
author = {Sekii, Taiki},
title = {Pose Proposal Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Less is More: Picking Informative Frames for Video Captioning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yangyu and Wang, Shuhui and Zhang, Weigang and Huang, Qingming},
title = {Less is More: Picking Informative Frames for Video Captioning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust Optical Flow in Rainy Scenes-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Ruoteng and Tan, Robby T. and Cheong, Loong-Fah},
title = {Robust Optical Flow in Rainy Scenes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization-
[pdf]
[bibtex]@InProceedings{Sharma_2018_ECCV,
author = {Sharma, Aashish and Cheong, Loong-Fah},
title = {Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Structured Siamese Network for Real-Time Visual Tracking-
[pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yunhua and Wang, Lijun and Qi, Jinqing and Wang, Dong and Feng, Mengyang and Lu, Huchuan},
title = {Structured Siamese Network for Real-Time Visual Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Ruochen and Hou, Qibin and Cheng, Ming-Ming and Yu, Gang and Martin, Ralph R. and Hu, Shi-Min},
title = {Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Deep Representations with Probabilistic Knowledge Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Passalis_2018_ECCV,
author = {Passalis, Nikolaos and Tefas, Anastasios},
title = {Learning Deep Representations with Probabilistic Knowledge Transfer},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recycle-GAN: Unsupervised Video Retargeting-
[pdf]
[bibtex]@InProceedings{Bansal_2018_ECCV,
author = {Bansal, Aayush and Ma, Shugao and Ramanan, Deva and Sheikh, Yaser},
title = {Recycle-GAN: Unsupervised Video Retargeting},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Escaping from Collapsing Modes in a Constrained Space-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chang_2018_ECCV,
author = {Chang, Chia-Che and Lin, Chieh Hubert and Lee, Che-Rung and Juan, Da-Cheng and Wei, Wei and Chen, Hwann-Tzong},
title = {Escaping from Collapsing Modes in a Constrained Space},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment-
[pdf]
[bibtex]@InProceedings{Ardeshir_2018_ECCV,
author = {Ardeshir, Shervin and Borji, Ali},
title = {Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal and Hierarchical Modeling of Video and Text-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Bowen and Hu, Hexiang and Sha, Fei},
title = {Cross-Modal and Hierarchical Modeling of Video and Text},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Qi and Frosio, Iuri and Gallo, Orazio and Zickler, Todd and Kautz, Jan},
title = {Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual-Inertial Object Detection and Mapping-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fei_2018_ECCV,
author = {Fei, Xiaohan and Soatto, Stefano},
title = {Visual-Inertial Object Detection and Mapping},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Shot Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bansal_2018_ECCV,
author = {Bansal, Ankan and Sikka, Karan and Sharma, Gaurav and Chellappa, Rama and Divakaran, Ajay},
title = {Zero-Shot Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Tracking Emerges by Colorizing Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Vondrick_2018_ECCV,
author = {Vondrick, Carl and Shrivastava, Abhinav and Fathi, Alireza and Guadarrama, Sergio and Murphy, Kevin},
title = {Tracking Emerges by Colorizing Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Actor-centric Relation Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Murphy, Kevin and Sukthankar, Rahul and Schmid, Cordelia},
title = {Actor-centric Relation Network },
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2018_ECCV,
author = {Xie, Saining and Sun, Chen and Huang, Jonathan and Tu, Zhuowen and Murphy, Kevin},
title = {Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SkipNet: Learning Dynamic Routing in Convolutional Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Xin and Yu, Fisher and Dou, Zi-Yi and Darrell, Trevor and Gonzalez, Joseph E.},
title = {SkipNet: Learning Dynamic Routing in Convolutional Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Quantized Densely Connected U-Nets for Efficient Landmark Localization-
[pdf]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Zhiqiang and Peng, Xi and Geng, Shijie and Wu, Lingfei and Zhang, Shaoting and Metaxas, Dimitris},
title = {Quantized Densely Connected U-Nets for Efficient Landmark Localization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search in Videos with One Portrait Through Visual and Temporal Links-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Qingqiu and Liu, Wentao and Lin, Dahua},
title = {Person Search in Videos with One Portrait Through Visual and Temporal Links},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs-
[pdf]
[bibtex]@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Zerong and Yu, Tao and Li, Hao and Guo, Kaiwen and Dai, Qionghai and Fang, Lu and Liu, Yebin},
title = {HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Variational Wasserstein Clustering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mi_2018_ECCV,
author = {Mi, Liang and Zhang, Wen and Gu, Xianfeng and Wang, Yalin},
title = {Variational Wasserstein Clustering},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Modulation Module for Multi-task Learning with Applications in Image Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Xiangyun and Li, Haoxiang and Shen, Xiaohui and Liang, Xiaodan and Wu, Ying},
title = {A Modulation Module for Multi-task Learning with Applications in Image Retrieval},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Human-Object Interactions by Graph Parsing Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qi_2018_ECCV,
author = {Qi, Siyuan and Wang, Wenguan and Jia, Baoxiong and Shen, Jianbing and Zhu, Song-Chun},
title = {Learning Human-Object Interactions by Graph Parsing Neural Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Xihui and Li, Hongsheng and Shao, Jing and Chen, Dapeng and Wang, Xiaogang},
title = {Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Decouple Learning for Parameterized Image Operators-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Qingnan and Chen, Dongdong and Yuan, Lu and Hua, Gang and Yu, Nenghai and Chen, Baoquan},
title = {Decouple Learning for Parameterized Image Operators},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification-
[pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Xing and Zhang, Yue and Gong, Yihong and Zhang, Jiawei and Zheng, Nanning},
title = {Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Liquid Pouring Monitoring via Rich Sensory Inputs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Tz-Ying and Lin, Juan-Ting and Wang, Tsun-Hsuang and Hu, Chan-Wei and Niebles, Juan Carlos and Sun, Min},
title = {Liquid Pouring Monitoring via Rich Sensory Inputs},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Leveraging Motion Priors in Videos for Improving Human Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yu-Ting and Chang, Wen-Yen and Lu, Hai-Lun and Wu, Tingfan and Sun, Min},
title = {Leveraging Motion Priors in Videos for Improving Human Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Triplet Loss in Siamese Network for Object Tracking-
[pdf]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Xingping and Shen, Jianbing},
title = {Triplet Loss in Siamese Network for Object Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Macro-Micro Adversarial Network for Human Parsing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2018_ECCV,
author = {Luo, Yawei and Zheng, Zhedong and Zheng, Liang and Guan, Tao and Yu, Junqing and Yang, Yi},
title = {Macro-Micro Adversarial Network for Human Parsing},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Contour Knowledge Transfer for Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xin and Yang, Fan and Cheng, Hong and Liu, Wei and Shen, Dinggang},
title = {Contour Knowledge Transfer for Salient Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Point-to-Point Regression PointNet for 3D Hand Pose Estimation-
[pdf]
[bibtex]@InProceedings{Ge_2018_ECCV,
author = {Ge, Liuhao and Ren, Zhou and Yuan, Junsong},
title = {Point-to-Point Regression PointNet for 3D Hand Pose Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fine-grained Video Categorization with Redundancy Reduction Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Chen and Tan, Xiao and Zhou, Feng and Liu, Xiao and Yue, Kaiyu and Ding, Errui and Ma, Yi},
title = {Fine-grained Video Categorization with Redundancy Reduction Attention},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Analyzing Clothing Layer Deformation Statistics of 3D Human Motions-
[pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Jinlong and Franco, Jean-Sebastien and Hetroy-Wheeler, Franck and Wuhrer, Stefanie},
title = {Analyzing Clothing Layer Deformation Statistics of 3D Human Motions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DOCK: Detecting Objects by transferring Common-sense Knowledge-
[pdf]
[arXiv]
[bibtex]@InProceedings{Singh_2018_ECCV,
author = {Singh, Krishna Kumar and Divvala, Santosh and Farhadi, Ali and Lee, Yong Jae},
title = {DOCK: Detecting Objects by transferring Common-sense Knowledge},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xia and Wu, Jianlong and Lin, Zhouchen and Liu, Hong and Zha, Hongbin},
title = {Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Yan and Xie, Lingxi and Qiao, Siyuan and Zhang, Ya and Zhang, Wenjun and Yuille, Alan L.},
title = {Multi-Scale Spatially-Asymmetric Recalibration for Image Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast and Accurate Intrinsic Symmetry Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nagar_2018_ECCV,
author = {Nagar, Rajendra and Raman, Shanmuganathan},
title = {Fast and Accurate Intrinsic Symmetry Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Open Set Domain Adaptation by Backpropagation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Saito_2018_ECCV,
author = {Saito, Kuniaki and Yamamoto, Shohei and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Open Set Domain Adaptation by Backpropagation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance-
[pdf]
[arXiv]
[bibtex]@InProceedings{Selvaraju_2018_ECCV,
author = {Selvaraju, Ramprasaath R. and Chattopadhyay, Prithvijit and Elhoseiny, Mohamed and Sharma, Tilak and Batra, Dhruv and Parikh, Devi and Lee, Stefan},
title = {Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Zhengqi and Snavely, Noah},
title = {CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stereo Computation for a Single Mixture Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhong_2018_ECCV,
author = {Zhong, Yiran and Dai, Yuchao and Li, Hongdong},
title = {Stereo Computation for a Single Mixture Image},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Objects that Sound-
[pdf]
[arXiv]
[bibtex]@InProceedings{Arandjelovic_2018_ECCV,
author = {Arandjelovic, Relja and Zisserman, Andrew},
title = {Objects that Sound},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Iterative Crowd Counting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ranjan_2018_ECCV,
author = {Ranjan, Viresh and Le, Hieu and Hoai, Minh},
title = {Iterative Crowd Counting},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly Supervised Region Proposal Network and Object Detection-
[pdf]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Peng and Wang, Xinggang and Wang, Angtian and Yan, Yongluan and Liu, Wenyu and Huang, Junzhou and Yuille, Alan},
title = {Weakly Supervised Region Proposal Network and Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Super-Resolution Using Very Deep Residual Channel Attention Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yulun and Li, Kunpeng and Li, Kai and Wang, Lichen and Zhong, Bineng and Fu, Yun},
title = {Image Super-Resolution Using Very Deep Residual Channel Attention Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dividing and Aggregating Network for Multi-view Action Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Dongang and Ouyang, Wanli and Li, Wen and Xu, Dong},
title = {Dividing and Aggregating Network for Multi-view Action Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Layer-structured 3D Scene Inference via View Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tulsiani_2018_ECCV,
author = {Tulsiani, Shubham and Tucker, Richard and Snavely, Noah},
title = {Layer-structured 3D Scene Inference via View Synthesis},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deblurring Natural Image Using Super-Gaussian Fields-
[pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yuhang and Dong, Wenyong and Gong, Dong and Zhang, Lei and Shi, Qinfeng},
title = {Deblurring Natural Image Using Super-Gaussian Fields},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Category-Specific Mesh Reconstruction from Image Collections-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kanazawa_2018_ECCV,
author = {Kanazawa, Angjoo and Tulsiani, Shubham and Efros, Alexei A. and Malik, Jitendra},
title = {Learning Category-Specific Mesh Reconstruction from Image Collections},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Selective Zero-Shot Classification with Augmented Attributes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Jie and Shen, Chengchao and Lei, Jie and Zeng, An-Xiang and Ou, Kairi and Tao, Dacheng and Song, Mingli},
title = {Selective Zero-Shot Classification with Augmented Attributes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-time 'Actor-Critic' Tracking-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Boyu and Wang, Dong and Li, Peixia and Wang, Shuang and Lu, Huchuan},
title = {Real-time 'Actor-Critic' Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Annotation Object Detection with Web Knowledge Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tao_2018_ECCV,
author = {Tao, Qingyi and Yang, Hao and Cai, Jianfei},
title = {Zero-Annotation Object Detection with Web Knowledge Transfer},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Question-Guided Hybrid Convolution for Visual Question Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Peng and Li, Hongsheng and Li, Shuang and Lu, Pan and Li, Yikang and Hoi, Steven C.H. and Wang, Xiaogang},
title = {Question-Guided Hybrid Convolution for Visual Question Answering},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fully Motion-Aware Network for Video Object Detection-
[pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Shiyao and Zhou, Yucong and Yan, Junjie and Deng, Zhidong},
title = {Fully Motion-Aware Network for Video Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris},
title = {Learning to Forecast and Refine Residual Motion for Image-to-Video Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Jie and Xu, Yi and Ni, Bingbing and Duan, Zhenyu},
title = {Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deterministic Consensus Maximization with Biconvex Programming-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cai_2018_ECCV,
author = {Cai, Zhipeng and Chin, Tat-Jun and Le, Huu and Suter, David},
title = {Deterministic Consensus Maximization with Biconvex Programming},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lifting Layers: Analysis and Applications-
[pdf]
[bibtex]@InProceedings{Ochs_2018_ECCV,
author = {Ochs, Peter and Meinhardt, Tim and Leal-Taixe, Laura and Moeller, Michael},
title = {Lifting Layers: Analysis and Applications},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Simultaneous Edge Alignment and Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Zhiding and Liu, Weiyang and Zou, Yang and Feng, Chen and Ramalingam, Srikumar and Kumar, B. V. K. Vijaya and Kautz, Jan},
title = {Simultaneous Edge Alignment and Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Feature Pyramid Reconfiguration for Object Detection-
[pdf]
[bibtex]@InProceedings{Kong_2018_ECCV,
author = {Kong, Tao and Sun, Fuchun and Tan, Chuanqi and Liu, Huaping and Huang, Wenbing},
title = {Deep Feature Pyramid Reconfiguration for Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unpaired Image Captioning by Language Pivoting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gu_2018_ECCV,
author = {Gu, Jiuxiang and Joty, Shafiq and Cai, Jianfei and Wang, Gang},
title = {Unpaired Image Captioning by Language Pivoting},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Goal-Oriented Visual Question Generation via Intermediate Rewards-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Junjie and Wu, Qi and Shen, Chunhua and Zhang, Jian and Lu, Jianfeng and van den Hengel, Anton},
title = {Goal-Oriented Visual Question Generation via Intermediate Rewards},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ling_2018_ECCV,
author = {Ling, Yonggen and Bao, Linchao and Jie, Zequn and Zhu, Fengming and Li, Ziyang and Tang, Shanmin and Liu, Yongsheng and Liu, Wei and Zhang, Tong},
title = {Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks-
[pdf]
[bibtex]@InProceedings{Shim_2018_ECCV,
author = {Shim, Minho and Kim, Young Hwi and Kim, Kyungmin and Kim, Seon Joo},
title = {Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Receptive Field Block Net for Accurate and Fast Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Songtao and Huang, Di and Wang, andYunhong},
title = {Receptive Field Block Net for Accurate and Fast Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model-
[pdf]
[bibtex]@InProceedings{Lathuiliere_2018_ECCV,
author = {Lathuiliere, Stephane and Mesejo, Pablo and Alameda-Pineda, Xavier and Horaud, Radu},
title = {DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Bilinear Learning for RGB-D Action Recognition-
[pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Jian-Fang and Zheng, Wei-Shi and Pan, Jiahui and Lai, Jianhuang and Zhang, Jianguo},
title = {Deep Bilinear Learning for RGB-D Action Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RelocNet: Continuous Metric Learning Relocalisation using Neural Nets-
[pdf]
[bibtex]@InProceedings{Balntas_2018_ECCV,
author = {Balntas, Vassileios and Li, Shuda and Prisacariu, Victor},
title = {RelocNet: Continuous Metric Learning Relocalisation using Neural Nets},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generative Semantic Manipulation with Mask-Contrasting GAN-
[pdf]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Xiaodan and Zhang, Hao and Lin, Liang and Xing, Eric},
title = {Generative Semantic Manipulation with Mask-Contrasting GAN},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interpolating Convolutional Neural Networks Using Batch Normalization-
[pdf]
[bibtex]@InProceedings{Data_2018_ECCV,
author = {Data, Gratianus Wesley Putra and Ngu, Kirjon and Murray, David William and Prisacariu, Victor Adrian},
title = {Interpolating Convolutional Neural Networks Using Batch Normalization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SketchyScene: Richly-Annotated Scene Sketches-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zou_2018_ECCV,
author = {Zou, Changqing and Yu, Qian and Du, Ruofei and Mo, Haoran and Song, Yi-Zhe and Xiang, Tao and Gao, Chengying and Chen, Baoquan and Zhang, Hao},
title = {SketchyScene: Richly-Annotated Scene Sketches},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
An Adversarial Approach to Hard Triplet Generation-
[pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Yiru and Jin, Zhongming and Qi, Guo-jun and Lu, Hongtao and Hua, Xian-sheng},
title = {An Adversarial Approach to Hard Triplet Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Toward Characteristic-Preserving Image-based Virtual Try-On Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Bochao and Zheng, Huabin and Liang, Xiaodan and Chen, Yimin and Lin, Liang and Yang, Meng},
title = {Toward Characteristic-Preserving Image-based Virtual Try-On Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Estimating the Success of Unsupervised Image to Image Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Benaim_2018_ECCV,
author = {Benaim, Sagie and Galanti, Tomer and Wolf, Lior},
title = {Estimating the Success of Unsupervised Image to Image Translation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images-
[pdf]
[bibtex]@InProceedings{Coors_2018_ECCV,
author = {Coors, Benjamin and Condurache, Alexandru Paul and Geiger, Andreas},
title = {SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Uncertainty Estimation for Semantic Segmentation in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Po-Yu and Hsu, Wan-Ting and Chiu, Chun-Yueh and Wu, Ting-Fan and Sun, Min},
title = {Efficient Uncertainty Estimation for Semantic Segmentation in Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Jiaxin and Fang, Yi},
title = {Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kang_2018_ECCV,
author = {Kang, Guoliang and Zheng, Liang and Yan, Yan and Yang, Yi},
title = {Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ICNet for Real-Time Semantic Segmentation on High-Resolution Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Qi, Xiaojuan and Shen, Xiaoyong and Shi, Jianping and Jia, Jiaya},
title = {ICNet for Real-Time Semantic Segmentation on High-Resolution Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Parallel Feature Pyramid Network for Object Detection-
[pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Seung-Wook and Kook, Hyong-Keun and Sun, Jee-Young and Kang, Mun-Cheon and Ko, Sung-Jea},
title = {Parallel Feature Pyramid Network for Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kocabas_2018_ECCV,
author = {Kocabas, Muhammed and Karagoz, Salih and Akbas, Emre},
title = {MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Prokudin_2018_ECCV,
author = {Prokudin, Sergey and Gehler, Peter and Nowozin, Sebastian},
title = {Deep Directional Statistics: Pose Estimation with Uncertainty Quantification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search by Multi-Scale Matching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lan_2018_ECCV,
author = {Lan, Xu and Zhu, Xiatian and Gong, Shaogang},
title = {Person Search by Multi-Scale Matching},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility-
[pdf]
[bibtex]@InProceedings{Hepp_2018_ECCV,
author = {Hepp, Benjamin and Dey, Debadeepta and Sinha, Sudipta N. and Kapoor, Ashish and Joshi, Neel and Hilliges, Otmar},
title = {Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yao_2018_ECCV,
author = {Yao, Yingjie and Wu, Xiaohe and Zhang, Lei and Shan, Shiguang and Zuo, Wangmeng},
title = {Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Yunchao and Shen, Zhiqiang and Cheng, Bowen and Shi, Honghui and Xiong, Jinjun and Feng, Jiashi and Huang, Thomas},
title = {TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchy of Alternating Specialists for Scene Recognition-
[pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Hyo Jin and Frahm, Jan-Michael},
title = {Hierarchy of Alternating Specialists for Scene Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Bowen and Wei, Yunchao and Shi, Honghui and Feris, Rogerio and Xiong, Jinjun and Huang, Thomas},
title = {Revisiting RCNN: On Awakening the Classification Power of Faster RCNN},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Hybrid Model for Identity Obfuscation by Face Replacement-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Qianru and Tewari, Ayush and Xu, Weipeng and Fritz, Mario and Theobalt, Christian and Schiele, Bernt},
title = {A Hybrid Model for Identity Obfuscation by Face Replacement},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Scene Flow from 4D Light Field Gradients-
[pdf]
[bibtex]@InProceedings{Ma_2018_ECCV,
author = {Ma, Sizhuo and Smith, Brandon M. and Gupta, Mohit},
title = {3D Scene Flow from 4D Light Field Gradients},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RIDI: Robust IMU Double Integration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Hang and Shan, Qi and Furukawa, Yasutaka},
title = {RIDI: Robust IMU Double Integration},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Superpixel Sampling Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jampani_2018_ECCV,
author = {Jampani, Varun and Sun, Deqing and Liu, Ming-Yu and Yang, Ming-Hsuan and Kautz, Jan},
title = {Superpixel Sampling Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards Robust Neural Networks via Random Self-ensemble-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Xuanqing and Cheng, Minhao and Zhang, Huan and Hsieh, Cho-Jui},
title = {Towards Robust Neural Networks via Random Self-ensemble},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Sound of Pixels-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hang and Gan, Chuang and Rouditchenko, Andrew and Vondrick, Carl and McDermott, Josh and Torralba, Antonio},
title = {The Sound of Pixels},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adaptive Affinity Fields for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ke_2018_ECCV,
author = {Ke, Tsung-Wei and Hwang, Jyh-Jing and Liu, Ziwei and Yu, Stella X.},
title = {Adaptive Affinity Fields for Semantic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Map and Symmetry Synchronization-
[pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Yifan and Liang, Zhenxiao and Huang, Xiangru and Huang, Qixing},
title = {Joint Map and Symmetry Synchronization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
EC-Net: an Edge-aware Point set Consolidation Network-
[pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Lequan and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann},
title = {EC-Net: an Edge-aware Point set Consolidation Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ReenactGAN: Learning to Reenact Faces via Boundary Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Wayne and Zhang, Yunxuan and Li, Cheng and Qian, Chen and Loy, Chen Change},
title = {ReenactGAN: Learning to Reenact Faces via Boundary Transfer},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Supervised Generative Adversarial Hashing for Image Retrieval-
[pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Guan'an and Hu, Qinghao and Cheng, Jian and Hou, Zengguang},
title = {Semi-Supervised Generative Adversarial Hashing for Image Retrieval},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Training Binary Weight Networks via Semi-Binary Decomposition-
[pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Qinghao and Li, Gang and Wang, Peisong and Zhang, Yifan and Cheng, Jian},
title = {Training Binary Weight Networks via Semi-Binary Decomposition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Part-Activated Deep Reinforcement Learning for Action Prediction-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Lei and Lu, Jiwen and Song, Zhanjie and Zhou, Jie},
title = {Part-Activated Deep Reinforcement Learning for Action Prediction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Anonymize Faces for Privacy Preserving Action Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ren_2018_ECCV,
author = {Ren, Zhongzheng and Lee, Yong Jae and Ryoo, Michael S.},
title = {Learning to Anonymize Faces for Privacy Preserving Action Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lifelong Learning via Progressive Distillation and Retrospection-
[pdf]
[bibtex]@InProceedings{Hou_2018_ECCV,
author = {Hou, Saihui and Pan, Xinyu and Loy, Chen Change and Wang, Zilei and Lin, Dahua},
title = {Lifelong Learning via Progressive Distillation and Retrospection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Xuan and Liew, Jun Hao and Xiong, Wei and Chui, Chee-Kong and Ong, Sim-Heng},
title = {Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhan_2018_ECCV,
author = {Zhan, Xiaohang and Liu, Ziwei and Yan, Junjie and Lin, Dahua and Loy, Chen Change},
title = {Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Closed-form Solution to Photorealistic Image Stylization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yijun and Liu, Ming-Yu and Li, Xueting and Yang, Ming-Hsuan and Kautz, Jan},
title = {A Closed-form Solution to Photorealistic Image Stylization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics-
[pdf]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Xinchen and Rastogi, Akash and Villegas, Ruben and Sunkavalli, Kalyan and Shechtman, Eli and Hadap, Sunil and Yumer, Ersin and Lee, Honglak},
title = {MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Xiaoqing and Li, Jiamao and Huang, Hexiao and Du, Liang and Zhang, Xiaolin},
title = {3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Rethinking the Form of Latent States in Image Captioning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dai_2018_ECCV,
author = {Dai, Bo and Ye, Deming and Lin, Dahua},
title = {Rethinking the Form of Latent States in Image Captioning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Move Forward and Tell: A Progressive Generator of Video Descriptions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiong_2018_ECCV,
author = {Xiong, Yilei and Dai, Bo and Lin, Dahua},
title = {Move Forward and Tell: A Progressive Generator of Video Descriptions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos-
[pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Mingze and Fan, Chenyou and Wang, Yuchen and Ryoo, Michael S. and Crandall, David J.},
title = {Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transductive Semi-Supervised Deep Learning using Min-Max Features-
[pdf]
[bibtex]@InProceedings{Shi_2018_ECCV,
author = {Shi, Weiwei and Gong, Yihong and Ding, Chris and Tao, Zhiheng MaXiaoyu and Zheng, Nanning},
title = {Transductive Semi-Supervised Deep Learning using Min-Max Features},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Yonghyun and Kang, Bong-Nam and Kim, Daijin},
title = {SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Tracking via Spatially Aligned Correlation Filters Network-
[pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Mengdan and Wang, Qiang and Xing, Junliang and Gao, Jin and Peng, Peixi and Hu, Weiming and Maybank, Steve},
title = {Visual Tracking via Spatially Aligned Correlation Filters Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Predicting Future Instance Segmentation by Forecasting Convolutional Features-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luc_2018_ECCV,
author = {Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob},
title = {Predicting Future Instance Segmentation by Forecasting Convolutional Features},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MVSNet: Depth Inference for Unstructured Multi-view Stereo-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yao_2018_ECCV,
author = {Yao, Yao and Luo, Zixin and Li, Shiwei and Fang, Tian and Quan, Long},
title = {MVSNet: Depth Inference for Unstructured Multi-view Stereo},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Monocular Depth by Distilling Cross-domain Stereo Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Xiaoyang and Li, Hongsheng and Yi, Shuai and Ren, Jimmy and Wang, Xiaogang},
title = {Learning Monocular Depth by Distilling Cross-domain Stereo Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Re-identification with Deep Similarity-Guided Graph Neural Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2018_ECCV,
author = {Shen, Yantao and Li, Hongsheng and Yi, Shuai and Chen, Dapeng and Wang, Xiaogang},
title = {Person Re-identification with Deep Similarity-Guided Graph Neural Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning and Matching Multi-View Descriptors for Registration of Point Clouds-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Lei and Zhu, Siyu and Luo, Zixin and Shen, Tianwei and Zhang, Runze and Zhen, Mingmin and Fang, Tian and Quan, Long},
title = {Learning and Matching Multi-View Descriptors for Registration of Point Clouds},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Flow-Grounded Spatial-Temporal Video Prediction from Still Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan},
title = {Flow-Grounded Spatial-Temporal Video Prediction from Still Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Contextual Loss for Image Transformation with Non-Aligned Data-
[pdf]
[bibtex]@InProceedings{Mechrez_2018_ECCV,
author = {Mechrez, Roey and Talmi, Itamar and Zelnik-Manor, Lihi},
title = {The Contextual Loss for Image Transformation with Non-Aligned Data},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Online Dictionary Learning for Approximate Archetypal Analysis-
[pdf]
[bibtex]@InProceedings{Mei_2018_ECCV,
author = {Mei, Jieru and Wang, Chunyu and Zeng, Wenjun},
title = {Online Dictionary Learning for Approximate Archetypal Analysis},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Object Segmentation by Learning Location-Sensitive Embeddings-
[pdf]
[bibtex]@InProceedings{Ci_2018_ECCV,
author = {Ci, Hai and Wang, Chunyu and Wang, Yizhou},
title = {Video Object Segmentation by Learning Location-Sensitive Embeddings},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hashing with Binary Matrix Pursuit-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cakir_2018_ECCV,
author = {Cakir, Fatih and He, Kun and Sclaroff, Stan},
title = {Hashing with Binary Matrix Pursuit},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Capture Light Fields through a Coded Aperture Camera-
[pdf]
[bibtex]@InProceedings{Inagaki_2018_ECCV,
author = {Inagaki, Yasutaka and Kobayashi, Yuto and Takahashi, Keita and Fujii, Toshiaki and Nagahara, Hajime},
title = {Learning to Capture Light Fields through a Coded Aperture Camera},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks-
[pdf]
[bibtex]@InProceedings{Cao_2018_ECCV,
author = {Cao, Yan-Pei and Liu, Zheng-Ning and Kuang, Zheng-Fei and Kobbelt, Leif and Hu, Shi-Min},
title = {Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
X2Face: A network for controlling face generation using images, audio, and pose codes-
[pdf]
[bibtex]@InProceedings{Wiles_2018_ECCV,
author = {Wiles, Olivia and Koepke, A. Sophia and Zisserman, Andrew},
title = {X2Face: A network for controlling face generation using images, audio, and pose codes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hecker_2018_ECCV,
author = {Hecker, Simon and Dai, Dengxin and Van Gool, Luc},
title = {End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sakaridis_2018_ECCV,
author = {Sakaridis, Christos and Dai, Dengxin and Hecker, Simon and Van Gool, Luc},
title = {Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures-
[pdf]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Jin-Dong and Cheng, An-Chieh and Juan, Da-Cheng and Wei, Wei and Sun, Min},
title = {DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting Autofocus for Smartphone Cameras-
[pdf]
[bibtex]@InProceedings{Abuolaim_2018_ECCV,
author = {Abuolaim, Abdullah and Punnappurath, Abhijith and Brown, Michael S.},
title = {Revisiting Autofocus for Smartphone Cameras},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chaudhry_2018_ECCV,
author = {Chaudhry, Arslan and Dokania, Puneet K. and Ajanthan, Thalaiyasingam and Torr, Philip H. S.},
title = {Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Dataset of Flash and Ambient Illumination Pairs from the Crowd-
[pdf]
[bibtex]@InProceedings{Aksoy_2018_ECCV,
author = {Aksoy, Yagiz and Kim, Changil and Kellnhofer, Petr and Paris, Sylvain and Elgharib, Mohamed and Pollefeys, Marc and Matusik, Wojciech},
title = {A Dataset of Flash and Ambient Illumination Pairs from the Crowd},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Burst Denoising-
[pdf]
[arXiv]
[bibtex]@InProceedings{Godard_2018_ECCV,
author = {Godard, Clement and Matzen, Kevin and Uyttendaele, Matt},
title = {Deep Burst Denoising},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MaskConnect: Connectivity Learning by Gradient Descent-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ahmed_2018_ECCV,
author = {Ahmed, Karim and Torresani, Lorenzo},
title = {MaskConnect: Connectivity Learning by Gradient Descent},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ISNN: Impact Sound Neural Network for Audio-Visual Object Classification-
[pdf]
[bibtex]@InProceedings{Sterling_2018_ECCV,
author = {Sterling, Auston and Wilson, Justin and Lowe, Sam and Lin, Ming C.},
title = {ISNN: Impact Sound Neural Network for Audio-Visual Object Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Xiaofeng and Kumar, B.V.K Vijaya and Yang, Chao and Tang, Qingming and You, Jane},
title = {Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Khamis_2018_ECCV,
author = {Khamis, Sameh and Fanello, Sean and Rhemann, Christoph and Kowdle, Adarsh and Valentin, Julien and Izadi, Shahram},
title = {StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compositing-aware Image Search-
[pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Shen, Xiaohui and Lin, Zhe and Sunkavalli, Kalyan and Price, Brian and Jia, Jiaya},
title = {Compositing-aware Image Search},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Online Multi-Object Tracking with Dual Matching Attention Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Ji and Yang, Hua and Liu, Nian and Kim, Minyoung and Zhang, Wenjun and Yang, Ming-Hsuan},
title = {Online Multi-Object Tracking with Dual Matching Attention Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Sequential Determinantal Point Processes for Supervised Video Summarization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sharghi_2018_ECCV,
author = {Sharghi, Aidean and Borji, Ali and Li, Chengtao and Yang, Tianbao and Gong, Boqing},
title = {Improving Sequential Determinantal Point Processes for Supervised Video Summarization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Online Detection of Action Start in Untrimmed, Streaming Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shou_2018_ECCV,
author = {Shou, Zheng and Pan, Junting and Chan, Jonathan and Miyazawa, Kazuyuki and Mansour, Hassan and Vetro, Anthony and Giro-i-Nieto, Xavier and Chang, Shih-Fu},
title = {Online Detection of Action Start in Untrimmed, Streaming Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Volumetric performance capture from minimal camera viewpoints-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gilbert_2018_ECCV,
author = {Gilbert, Andrew and Volino, Marco and Collomosse, John and Hilton, Adrian},
title = {Volumetric performance capture from minimal camera viewpoints},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Coreset-Based Neural Network Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dubey_2018_ECCV,
author = {Dubey, Abhimanyu and Chatterjee, Moitreya and Ahuja, Narendra},
title = {Coreset-Based Neural Network Compression},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Framework for Evaluating 6-DOF Object Trackers-
[pdf]
[bibtex]@InProceedings{Garon_2018_ECCV,
author = {Garon, Mathieu and Laurendeau, Denis and Lalonde, Jean-Francois},
title = {A Framework for Evaluating 6-DOF Object Trackers},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Separate Object Sounds by Watching Unlabeled Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Ruohan and Feris, Rogerio and Grauman, Kristen},
title = {Learning to Separate Object Sounds by Watching Unlabeled Video},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chong_2018_ECCV,
author = {Chong, Eunji and Ruiz, Nataniel and Wang, Yongxin and Zhang, Yun and Rozga, Agata and Rehg, James M.},
title = {Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Graph Matching Networks for Fewshot 3D Action Recognition-
[pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Michelle and Chou, Edward and Huang, De-An and Song, Shuran and Yeung, Serena and Fei-Fei, Li},
title = {Neural Graph Matching Networks for Fewshot 3D Action Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos-
[pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Bingbin and Yeung, Serena and Chou, Edward and Huang, De-An and Fei-Fei, Li and Niebles, Juan Carlos},
title = {Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Xi and Lai, Hanjiang and Feng, Jiashi},
title = {Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration-
[pdf]
[bibtex]@InProceedings{Yew_2018_ECCV,
author = {Yew, Zi Jian and Lee, Gim Hee},
title = {3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers-
[pdf]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Eunbyung and Berg, Alexander C.},
title = {Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with An Ordinary Camera-
[pdf]
[bibtex]@InProceedings{Nishino_2018_ECCV,
author = {Nishino, Ko and Subpa-asa, Art and Asano, Yuta and Shimano, Mihoko and Sato, Imari},
title = {Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with An Ordinary Camera},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph R-CNN for Scene Graph Generation-
[pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Jianwei and Lu, Jiasen and Lee, Stefan and Batra, Dhruv and Parikh, Devi},
title = {Graph R-CNN for Scene Graph Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Domain Generalization via Conditional Invariant Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Ya and Tian, Xinmei and Gong, Mingming and Liu, Yajing and Liu, Tongliang and Zhang, Kun and Tao, Dacheng},
title = {Deep Domain Generalization via Conditional Invariant Adversarial Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Siqi and Wiliem, Arnold and Chen, Shaokang and Lovell, Brian C.},
title = {Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose-Normalized Image Generation for Person Re-identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qian_2018_ECCV,
author = {Qian, Xuelin and Fu, Yanwei and Xiang, Tao and Wang, Wenxuan and Qiu, Jie and Wu, Yang and Jiang, Yu-Gang and Xue, Xiangyang},
title = {Pose-Normalized Image Generation for Person Re-identification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Videos as Space-Time Region Graphs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Xiaolong and Gupta, Abhinav},
title = {Videos as Space-Time Region Graphs},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning 3D Human Pose from Structure and Motion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dabral_2018_ECCV,
author = {Dabral, Rishabh and Mundhada, Anurag and Kusupati, Uday and Afaque, Safeer and Sharma, Abhishek and Jain, Arjun},
title = {Learning 3D Human Pose from Structure and Motion},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shao_2018_ECCV,
author = {Shao, Zhiwen and Liu, Zhilei and Cai, Jianfei and Ma, Lizhuang},
title = {Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HiDDeN: Hiding Data with Deep Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Jiren and Kaplan, Russell and Johnson, Justin and Fei-Fei, Li},
title = {HiDDeN: Hiding Data with Deep Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Cross-Modal Projection Learning for Image-Text Matching-
[pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ying and Lu, Huchuan},
title = {Deep Cross-Modal Projection Learning for Image-Text Matching},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Large Scale Urban Scene Modeling from MVS Meshes-
[pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Lingjie and Shen, Shuhan and Gao, Xiang and Hu, Zhanyi},
title = {Large Scale Urban Scene Modeling from MVS Meshes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking-
[pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Minghao and Lu, Jiwen and Zhou, Jie},
title = {Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unified Perceptual Parsing for Scene Understanding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Tete and Liu, Yingcheng and Zhou, Bolei and Jiang, Yuning and Sun, Jian},
title = {Unified Perceptual Parsing for Scene Understanding},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal Dual Attention Memory for Video Story Question Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Kyung-Min and Choi, Seong-Ho and Kim, Jin-Hwa and Zhang, Byoung-Tak},
title = {Multimodal Dual Attention Memory for Video Story Question Answering},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Reinforcement Learning with Iterative Shift for Visual Tracking-
[pdf]
[bibtex]@InProceedings{Ren_2018_ECCV,
author = {Ren, Liangliang and Yuan, Xin and Lu, Jiwen and Yang, Ming and Zhou, Jie},
title = {Deep Reinforcement Learning with Iterative Shift for Visual Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Collaborative Deep Reinforcement Learning for Multi-Object Tracking-
[pdf]
[bibtex]@InProceedings{Ren_2018_ECCV,
author = {Ren, Liangliang and Lu, Jiwen and Wang, Zifeng and Tian, Qi and Zhou, Jie},
title = {Collaborative Deep Reinforcement Learning for Multi-Object Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Variational Metric Learning-
[pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Xudong and Duan, Yueqi and Dong, Qiyuan and Lu, Jiwen and Zhou, Jie},
title = {Deep Variational Metric Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Joint Sequence Fusion Model for Video Question Answering and Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Youngjae and Kim, Jongseok and Kim, Gunhee},
title = {A Joint Sequence Fusion Model for Video Question Answering and Retrieval},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Pictorial Gaze Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Seonwook and Spurr, Adrian and Hilliges, Otmar},
title = {Deep Pictorial Gaze Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Wei and Wang, Qiuyuan and Wang, Xin and Zha, Hongbin},
title = {PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Scale Context Intertwining for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Di and Ji, Yuanfeng and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui},
title = {Multi-Scale Context Intertwining for Semantic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching-
[pdf]
[bibtex]@InProceedings{Schonberger_2018_ECCV,
author = {Schonberger, Johannes L. and Sinha, Sudipta N. and Pollefeys, Marc},
title = {Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Saliency Detection in 360° Videos-
[pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ziheng and Xu, Yanyu and Yu, Jingyi and Gao, Shenghua},
title = {Saliency Detection in 360° Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset-
[pdf]
[arXiv]
[bibtex]@InProceedings{Damen_2018_ECCV,
author = {Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Fidler, Sanja and Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan and Perrett, Toby and Price, Will and Wray, Michael},
title = {Scaling Egocentric Vision: The EPIC-KITCHENS Dataset},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation-
[pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Sheng-Wei and Lin, Che-Tsung and Chen, Shu-Ping and Wu, Yen-Yi and Hsu, Po-Hao and Lai, Shang-Hong},
title = {AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length-
[pdf]
[arXiv]
[bibtex]@InProceedings{Probst_2018_ECCV,
author = {Probst, Thomas and Paudel, Danda Pani and Chhatkuli, Ajad and Van Gool, Luc},
title = {Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries-
[pdf]
[bibtex]@InProceedings{Margffoy-Tuay_2018_ECCV,
author = {Margffoy-Tuay, Edgar and Perez, Juan C. and Botero, Emilio and Arbelaez, Pablo},
title = {Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graininess-Aware Deep Feature Learning for Pedestrian Detection-
[pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Chunze and Lu, Jiwen and Wang, Gang and Zhou, Jie},
title = {Graininess-Aware Deep Feature Learning for Pedestrian Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Acquisition of Localization Confidence for Accurate Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Borui and Luo, Ruixuan and Mao, Jiayuan and Xiao, Tete and Jiang, Yuning},
title = {Acquisition of Localization Confidence for Accurate Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Shape Priors for Single-View 3D Completion and Reconstruction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Jiajun and Zhang, Chengkai and Zhang, Xiuming and Zhang, Zhoutong and Freeman, William T. and Tenenbaum, Joshua B.},
title = {Learning Shape Priors for Single-View 3D Completion and Reconstruction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting-
[pdf]
[bibtex]@InProceedings{Rhinehart_2018_ECCV,
author = {Rhinehart, Nicholas and Kitani, Kris M. and Vernaza, Paul},
title = {R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Synthetically Supervised Feature Learning for Scene Text Recognition-
[pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yang and Wang, Zhaowen and Jin, Hailin and Wassell, Ian},
title = {Synthetically Supervised Feature Learning for Scene Text Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Localization Recall Precision (LRP): A New Performance Metric for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Oksuz_2018_ECCV,
author = {Oksuz, Kemal and Cam, Baris Can and Akbas, Emre and Kalkan, Sinan},
title = {Localization Recall Precision (LRP): A New Performance Metric for Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Second-order Democratic Aggregation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Tsung-Yu and Maji, Subhransu and Koniusz, Piotr},
title = {Second-order Democratic Aggregation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lip Movements Generation at a Glance-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Lele and Li, Zhiheng and Maddox, Ross K and Duan, Zhiyao and Xu, Chenliang},
title = {Lip Movements Generation at a Glance},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Probabilistic Video Generation using Holistic Attribute Control-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2018_ECCV,
author = {He, Jiawei and Lehrmann, Andreas and Marino, Joseph and Mori, Greg and Sigal, Leonid},
title = {Probabilistic Video Generation using Holistic Attribute Control},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AGIL: Learning Attention from Human for Visuomotor Tasks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ruohan and Liu, Zhuode and Zhang, Luxin and Whritner, Jake A. and Muller, Karl S. and Hayhoe, Mary M. and Ballard, Dana H.},
title = {AGIL: Learning Attention from Human for Visuomotor Tasks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd-
[pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Shifeng and Wen, Longyin and Bian, Xiao and Lei, Zhen and Li, Stan Z.},
title = {Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery-
[pdf]
[bibtex]@InProceedings{Garanderie_2018_ECCV,
author = {de La Garanderie, Greire Payen and Abarghouei, Amir Atapour and Breckon, Toby P.},
title = {Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Seeing Tree Structure from Vibration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xue_2018_ECCV,
author = {Xue, Tianfan and Wu, Jiajun and Zhang, Zhoutong and Zhang, Chengkai and Tenenbaum, Joshua B. and Freeman, William T.},
title = {Seeing Tree Structure from Vibration},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lv_2018_ECCV,
author = {Lv, Zhaoyang and Kim, Kihwan and Troccoli, Alejandro and Sun, Deqing and Rehg, James M. and Kautz, Jan},
title = {Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration-
[pdf]
[bibtex]@InProceedings{Eckart_2018_ECCV,
author = {Eckart, B. and Kim, K. and Kautz, J.},
title = {HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Imbalanced Attribute Classification using Visual Attention Aggregation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sarafianos_2018_ECCV,
author = {Sarafianos, Nikolaos and Xu, Xiang and Kakadiaris, Ioannis A.},
title = {Deep Imbalanced Attribute Classification using Visual Attention Aggregation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Chenglong and Zhu, Chengli and Huang, Yan and Tang, Jin and Wang, Liang},
title = {Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Shift-Net: Image Inpainting via Deep Feature Rearrangement-
[pdf]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Zhaoyi and Li, Xiaoming and Li, Mu and Zuo, Wangmeng and Shan, Shiguang},
title = {Shift-Net: Image Inpainting via Deep Feature Rearrangement},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation-
[pdf]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Tao and Sun, Leiyu and Xie, Di and Sun, Haiming and Pu, Shiliang},
title = {Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sub-GAN: An Unsupervised Generative Model via Subspaces-
[pdf]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Jie and Yang, Jufeng and Lee, Hsin-Ying and Wang, Kai and Yang, Ming-Hsuan},
title = {Sub-GAN: An Unsupervised Generative Model via Subspaces},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Qing and Tao, Qingyi and Joty, Shafiq and Cai, Jianfei and Luo, Jiebo},
title = {VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Xinge and Zhou, Hui and Yang, Ceyuan and Shi, Jianping and Lin, Dahua},
title = {Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interactive Boundary Prediction for Object Selection-
[pdf]
[bibtex]@InProceedings{Le_2018_ECCV,
author = {Le, Hoang and Mai, Long and Price, Brian and Cohen, Scott and Jin, Hailin and Liu, Feng},
title = {Interactive Boundary Prediction for Object Selection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Hongmei and Wang, Wenguan and Zhao, Sanyuan and Shen, Jianbing and Lam, Kin-Man},
title = {Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Xiaodan and Wang, Tairui and Yang, Luona and Xing, Eric},
title = {CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Devil of Face Recognition is in the Noise-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Fei and Chen, Liren and Li, Cheng and Huang, Shiyao and Chen, Yanjie and Qian, Chen and Loy, Chen Change},
title = {The Devil of Face Recognition is in the Noise},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders-
[pdf]
[bibtex]@InProceedings{Felsen_2018_ECCV,
author = {Felsen, Panna and Lucey, Patrick and Ganguly, Sujoy},
title = {Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm-
[pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Zechun and Wu, Baoyuan and Luo, Wenhan and Yang, Xin and Liu, Wei and Cheng, Kwang-Ting},
title = {Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
X-ray Computed Tomography Through Scatter-
[pdf]
[bibtex]@InProceedings{Geva_2018_ECCV,
author = {Geva, Adam and Schechner, Yoav Y. and Chernyak, Yonatan and Gupta, Rajiv},
title = {X-ray Computed Tomography Through Scatter},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency-
[pdf]
[bibtex]@InProceedings{Leroy_2018_ECCV,
author = {Leroy, Vincent and Franco, Jean-Sebastien and Boyer, Edmond},
title = {Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization-
[pdf]
[bibtex]@InProceedings{Hsu_2018_ECCV,
author = {Hsu, Kuang-Jui and Tsai, Chung-Chi and Lin, Yen-Yu and Qian, Xiaoning and Chuang, Yung-Yu},
title = {Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Person Re-identification by Deep Learning Tracklet Association-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Minxian and Zhu, Xiatian and Gong, Shaogang},
title = {Unsupervised Person Re-identification by Deep Learning Tracklet Association},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal-
[pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Jie and Gong, Dong and Liu, Lingqiao and Shi, Qinfeng},
title = {Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Data Terms for Non-blind Deblurring-
[pdf]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Jiangxin and Pan, Jinshan and Sun, Deqing and Su, Zhixun and Yang, Ming-Hsuan},
title = {Learning Data Terms for Non-blind Deblurring},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation-
[pdf]
[bibtex]@InProceedings{Nie_2018_ECCV,
author = {Nie, Xuecheng and Feng, Jiashi and Yan, Shuicheng},
title = {Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Statistically-motivated Second-order Pooling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Kaicheng and Salzmann, Mathieu},
title = {Statistically-motivated Second-order Pooling},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Re-localization-
[pdf]
[bibtex]@InProceedings{Feng_2018_ECCV,
author = {Feng, Yang and Ma, Lin and Liu, Wei and Zhang, Tong and Luo, Jiebo},
title = {Video Re-localization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Yitong and Gong, Dihong and Zhou, Zheng and Ji, Xing and Wang, Hao and Li, Zhifeng and Liu, Wei and Zhang, Tong},
title = {Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Long-term Tracking in the Wild: a Benchmark-
[pdf]
[arXiv]
[bibtex]@InProceedings{Valmadre_2018_ECCV,
author = {Valmadre, Jack and Bertinetto, Luca and Henriques, Joao F. and Tao, Ran and Vedaldi, Andrea and Smeulders, Arnold W.M. and Torr, Philip H.S. and Gavves, Efstratios},
title = {Long-term Tracking in the Wild: a Benchmark},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Affinity Derivation and Graph Merge for Instance Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yiding and Yang, Siyu and Li, Bin and Zhou, Wengang and Xu, Jizheng and Li, Houqiang and Lu, Yan},
title = {Affinity Derivation and Graph Merge for Instance Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Model-Based 6D Pose Refinement in RGB-
[pdf]
[arXiv]
[bibtex]@InProceedings{Manhardt_2018_ECCV,
author = {Manhardt, Fabian and Kehl, Wadim and Navab, Nassir and Tombari, Federico},
title = {Deep Model-Based 6D Pose Refinement in RGB},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Shot Deep Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2018_ECCV,
author = {Peng, Kuan-Chuan and Wu, Ziyan and Ernst, Jan},
title = {Zero-Shot Deep Domain Adaptation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Comparator Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2018_ECCV,
author = {Xie, Weidi and Shen, Li and Zisserman, Andrew},
title = {Comparator Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Regionlets for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Hongyu and Lv, Xutao and Wang, Xiaoyu and Ren, Zhou and Bodla, Navaneeth and Chellappa, Rama},
title = {Deep Regionlets for Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Zuxuan and Han, Xintong and Lin, Yen-Liang and Uzunbas, Mustafa Gokhan and Goldstein, Tom and Lim, Ser Nam and Davis, Larry S.},
title = {DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generating 3D Faces using Convolutional Mesh Autoencoders-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ranjan_2018_ECCV,
author = {Ranjan, Anurag and Bolkart, Timo and Sanyal, Soubhik and Black, Michael J.},
title = {Generating 3D Faces using Convolutional Mesh Autoencoders},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Groth_2018_ECCV,
author = {Groth, Oliver and Fuchs, Fabian B. and Posner, Ingmar and Vedaldi, Andrea},
title = {ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Physical Primitive Decomposition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Zhijian and Freeman, William T. and Tenenbaum, Joshua B. and Wu, Jiajun},
title = {Physical Primitive Decomposition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Inner Space Preserving Generative Pose Machine-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Shuangjun and Ostadabbas, Sarah},
title = {Inner Space Preserving Generative Pose Machine},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Perturbation Robust Representations of Topological Persistence Diagrams-
[pdf]
[arXiv]
[bibtex]@InProceedings{Som_2018_ECCV,
author = {Som, Anirudh and Thopalli, Kowshik and Ramamurthy, Karthikeyan Natesan and Venkataraman, Vinay and Shukla, Ankita and Turaga, Pavan},
title = {Perturbation Robust Representations of Topological Persistence Diagrams},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchical Relational Networks for Group Activity Recognition and Retrieval-
[pdf]
[bibtex]@InProceedings{Ibrahim_2018_ECCV,
author = {Ibrahim, Mostafa S. and Mori, Greg},
title = {Hierarchical Relational Networks for Group Activity Recognition and Retrieval},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attention-based Ensemble for Deep Metric Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Wonsik and Goyal, Bhavya and Chawla, Kunal and Lee, Jungmin and Kwon, Keunjoo},
title = {Attention-based Ensemble for Deep Metric Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Procedural Reconstruction for Residential Buildings-
[pdf]
[bibtex]@InProceedings{Zeng_2018_ECCV,
author = {Zeng, Huayi and Wu, Jiaye and Furukawa, Yasutaka},
title = {Neural Procedural Reconstruction for Residential Buildings},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PyramidBox: A Context-assisted Single Shot Face Detector-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Xu and Du, Daniel K. and He, Zeqiang and Liu, Jingtuo},
title = {PyramidBox: A Context-assisted Single Shot Face Detector},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Yifei and Cai, Minjie and Li, Zhenqiang and Sato, Yoichi},
title = {Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes-
[pdf]
[bibtex]@InProceedings{Lyu_2018_ECCV,
author = {Lyu, Pengyuan and Liao, Minghui and Yao, Cong and Wu, Wenhao and Bai, Xiang},
title = {Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Broadcasting Convolutional Network for Visual Relational Reasoning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chang_2018_ECCV,
author = {Chang, Simyung and Yang, John and Park, SeongUk and Kwak, Nojun},
title = {Broadcasting Convolutional Network for Visual Relational Reasoning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Buchler_2018_ECCV,
author = {Buchler, Uta and Brattoli, Biagio and Ommer, Bjorn},
title = {Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
View-graph Selection Framework for SfM-
[pdf]
[bibtex]@InProceedings{Shah_2018_ECCV,
author = {Shah, Rajvi and Chari, Visesh and Narayanan, P J},
title = {View-graph Selection Framework for SfM},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DFT-based Transformation Invariant Pooling Layer for Visual Classification-
[pdf]
[bibtex]@InProceedings{Ryu_2018_ECCV,
author = {Ryu, Jongbin and Yang, Ming-Hsuan and Lim, Jongwoo},
title = {DFT-based Transformation Invariant Pooling Layer for Visual Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Compression from Limited Unlabeled Data-
[pdf]
[bibtex]@InProceedings{He_2018_ECCV,
author = {He, Xiangyu and Cheng, Jian},
title = {Learning Compression from Limited Unlabeled Data},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bayesian Semantic Instance Segmentation in Open Set World-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pham_2018_ECCV,
author = {Pham, Trung and G., Vijay Kumar B. and Do, Thanh-Toan and Carneiro, Gustavo and Reid, Ian},
title = {Bayesian Semantic Instance Segmentation in Open Set World},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BOP: Benchmark for 6D Object Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hodan_2018_ECCV,
author = {Hodan, Tomas and Michel, Frank and Brachmann, Eric and Kehl, Wadim and GlentBuch, Anders and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae-Kyun and Matas, Jiri and Rother, Carsten},
title = {BOP: Benchmark for 6D Object Pose Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints-
[pdf]
[bibtex]@InProceedings{Bullinger_2018_ECCV,
author = {Bullinger, Sebastian and Bodensteiner, Christoph and Arens, Michael and Stiefelhagen, Rainer},
title = {3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression-
[pdf]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Yihua and Lu, Feng and Zhang, Xucong},
title = {Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Chao and Zheng, Haiyong and Yu, Zhibin and Zheng, Ziqiang and Gu, Zhaorui and Zheng, Bing},
title = {Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SegStereo: Exploiting Semantic Information for Disparity Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Guorun and Zhao, Hengshuang and Shi, Jianping and Deng, Zhidong and Jia, Jiaya},
title = {SegStereo: Exploiting Semantic Information for Disparity Estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ma_2018_ECCV,
author = {Ma, Ningning and Zhang, Xiangyu and Zheng, Hai-Tao and Sun, Jian},
title = {ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Attention Neural Tensor Network for Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Bai_2018_ECCV,
author = {Bai, Yalong and Fu, Jianlong and Zhao, Tiejun and Mei, Tao},
title = {Deep Attention Neural Tensor Network for Visual Question Answering},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pairwise Body-Part Attention for Recognizing Human-Object Interactions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fang_2018_ECCV,
author = {Fang, Hao-Shu and Cao, Jinkun and Tai, Yu-Wing and Lu, Cewu},
title = {Pairwise Body-Part Attention for Recognizing Human-Object Interactions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Clustering for Unsupervised Learning of Visual Features-
[pdf]
[arXiv]
[bibtex]@InProceedings{Caron_2018_ECCV,
author = {Caron, Mathilde and Bojanowski, Piotr and Joulin, Armand and Douze, Matthijs},
title = {Deep Clustering for Unsupervised Learning of Visual Features},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features-
[pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Xu and Zhang, Hanwang and Cai, Jianfei},
title = {Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Look around Objects for Top-View Representations of Outdoor Scenes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Schulter_2018_ECCV,
author = {Schulter, Samuel and Zhai, Menghua and Jacobs, Nathan and Chandraker, Manmohan},
title = {Learning to Look around Objects for Top-View Representations of Outdoor Scenes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ilg_2018_ECCV,
author = {Ilg, Eddy and Cicek, Ozgun and Galesso, Silvio and Klein, Aaron and Makansi, Osama and Hutter, Frank and Brox, Thomas},
title = {Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Normalized Blind Deconvolution-
[pdf]
[bibtex]@InProceedings{Jin_2018_ECCV,
author = {Jin, Meiguang and Roth, Stefan and Favaro, Paolo},
title = {Normalized Blind Deconvolution},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Selfie Video Stabilization-
[pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Jiyang and Ramamoorthi, Ravi},
title = {Selfie Video Stabilization},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CubeNet: Equivariance to 3D Rotation and Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Worrall_2018_ECCV,
author = {Worrall, Daniel and Brostow, Gabriel},
title = {CubeNet: Equivariance to 3D Rotation and Translation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Generalization via Scalable Neighborhood Component Analysis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Zhirong and Efros, Alexei A. and Yu, Stella X.},
title = {Improving Generalization via Scalable Neighborhood Component Analysis},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Combining 3D Model Contour Energy and Keypoints for Object Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bugaev_2018_ECCV,
author = {Bugaev, Bogdan and Kryshchenko, Anton and Belov, Roman},
title = {Combining 3D Model Contour Energy and Keypoints for Object Tracking},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.},
title = {Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pairwise Confusion for Fine-Grained Visual Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dubey_2018_ECCV,
author = {Dubey, Abhimanyu and Gupta, Otkrist and Guo, Pei and Raskar, Ramesh and Farrell, Ryan and Naik, Nikhil},
title = {Pairwise Confusion for Fine-Grained Visual Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Modular Generative Adversarial Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Bo and Chang, Bo and Jie, Zequn and Sigal, Leonid},
title = {Modular Generative Adversarial Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene-
[pdf]
[bibtex]@InProceedings{Qian_2018_ECCV,
author = {Qian, Yiming and Zheng, Yinqiang and Gong, Minglun and Yang, Yee-Hong},
title = {Simultaneous 3D Reconstruction for Water Surface and Underwater Scene},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Temporal Relational Reasoning in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Bolei and Andonian, Alex and Oliva, Aude and Torralba, Antonio},
title = {Temporal Relational Reasoning in Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Ning and Yang, Linjie and Fan, Yuchen and Yang, Jianchao and Yue, Dingcheng and Liang, Yuchen and Price, Brian and Cohen, Scott and Huang, Thomas},
title = {YouTube-VOS: Sequence-to-Sequence Video Object Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input-
[pdf]
[arXiv]
[bibtex]@InProceedings{Harwath_2018_ECCV,
author = {Harwath, David and Recasens, Adria and Suris, Didac and Chuang, Galen and Torralba, Antonio and Glass, James},
title = {Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Women also Snowboard: Overcoming Bias in Captioning Models-
[pdf]
[bibtex]@InProceedings{Hendricks_2018_ECCV,
author = {Hendricks, Lisa Anne and Burns, Kaylee and Saenko, Kate and Darrell, Trevor and Rohrbach, Anna},
title = {Women also Snowboard: Overcoming Bias in Captioning Models},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph Distillation for Action Detection with Privileged Modalities-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2018_ECCV,
author = {Luo, Zelun and Hsieh, Jun-Ting and Jiang, Lu and Niebles, Juan Carlos and Fei-Fei, Li},
title = {Graph Distillation for Action Detection with Privileged Modalities},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fathy_2018_ECCV,
author = {Fathy, Mohammed E. and Tran, Quoc-Huy and Zia, M. Zeeshan and Vernaza, Paul and Chandraker, Manmohan},
title = {Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing-
[pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Dong and Sun, Jian},
title = {Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Component Analysis via Alternating Direction Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Murdock_2018_ECCV,
author = {Murdock, Calvin and Chang, MingFang and Lucey, Simon},
title = {Deep Component Analysis via Alternating Direction Neural Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SDC-Net: Video prediction using spatially-displaced convolution-
[pdf]
[bibtex]@InProceedings{Reda_2018_ECCV,
author = {Reda, Fitsum A. and Liu, Guilin and Shih, Kevin J. and Kirby, Robert and Barker, Jon and Tarjan, David and Tao, Andrew and Catanzaro, Bryan},
title = {SDC-Net: Video prediction using spatially-displaced convolution},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploiting temporal information for 3D human pose estimation-
[pdf]
[bibtex]@InProceedings{Hossain_2018_ECCV,
author = {Hossain, Mir Rayat Imtiaz and Little, James J.},
title = {Exploiting temporal information for 3D human pose estimation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery-
[pdf]
[bibtex]@InProceedings{Fu_2018_ECCV,
author = {Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua},
title = {Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ADVISE: Symbolism and External Knowledge for Decoding Advertisements-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Keren and Kovashka, Adriana},
title = {ADVISE: Symbolism and External Knowledge for Decoding Advertisements},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search via A Mask-guided Two-stream CNN Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Di and Zhang, Shanshan and Ouyang, Wanli and Yang, Jian and Tai, Ying},
title = {Person Search via A Mask-guided Two-stream CNN Model},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GridFace: Face Rectification via Learning Local Homography Transformations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Erjin and Cao, Zhimin and Sun, Jian},
title = {GridFace: Face Rectification via Learning Local Homography Transformations},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior-
[pdf]
[bibtex]@InProceedings{Cai_2018_ECCV,
author = {Cai, Sijia and Zuo, Wangmeng and Davis, Larry S. and Zhang, Lei},
title = {Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compound Memory Networks for Few-shot Video Classification-
[pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Linchao and Yang, Yi},
title = {Compound Memory Networks for Few-shot Video Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Contextual-based Image Inpainting: Infer, Match, and Translate-
[pdf]
[arXiv]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Yuhang and Yang, Chao and Lin, Zhe and Liu, Xiaofeng and Huang, Qin and Li, Hao and Kuo, C.-C. Jay},
title = {Contextual-based Image Inpainting: Infer, Match, and Translate},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interpretable Intuitive Physics Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Tian and Wang, Xiaolong and Davidson, James and Gupta, Abhinav},
title = {Interpretable Intuitive Physics Model},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Polarimetric Three-View Geometry-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Lixiong and Zheng, Yinqiang and Subpa-asa, Art and Sato, Imari},
title = {Polarimetric Three-View Geometry},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Xin and Xiong, Wenhan and Wang, Hongmin and Wang, William Yang},
title = {Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images-
[pdf]
[bibtex]@InProceedings{Cai_2018_ECCV,
author = {Cai, Yujun and Ge, Liuhao and Cai, Jianfei and Yuan, Junsong},
title = {Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei},
title = {T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Instance-level Human Parsing via Part Grouping Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gong_2018_ECCV,
author = {Gong, Ke and Liang, Xiaodan and Li, Yicheng and Chen, Yimin and Yang, Ming and Lin, Liang},
title = {Instance-level Human Parsing via Part Grouping Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Long_2018_ECCV,
author = {Long, Shangbang and Ruan, Jiaqiang and Zhang, Wenjie and He, Xin and Wu, Wenhao and Yao, Cong},
title = {TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors-
[pdf]
[bibtex]@InProceedings{Deng_2018_ECCV,
author = {Deng, Haowen and Birdal, Tolga and Ilic, Slobodan},
title = {PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Dapeng and Li, Hongsheng and Liu, Xihui and Shen, Yantao and Shao, Jing and Yuan, Zejian and Wang, Xiaogang},
title = {Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AMC: AutoML for Model Compression and Acceleration on Mobile Devices-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2018_ECCV,
author = {He, Yihui and Lin, Ji and Liu, Zhijian and Wang, Hanrui and Li, Li-Jia and Han, Song},
title = {AMC: AutoML for Model Compression and Acceleration on Mobile Devices},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust fitting in computer vision: easy or hard?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chin_2018_ECCV,
author = {Chin, Tat-Jun and Cai, Zhipeng and Neumann, Frank},
title = {Robust fitting in computer vision: easy or hard?},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Ding_2018_ECCV,
author = {Ding, Zhengming and Li, Sheng and Shao, Ming and Fu, Yun},
title = {Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Single Image Intrinsic Decomposition without a Single Intrinsic Image-
[pdf]
[bibtex]@InProceedings{Ma_2018_ECCV,
author = {Ma, Wei-Chiu and Chu, Hang and Zhou, Bolei and Urtasun, Raquel and Torralba, Antonio},
title = {Single Image Intrinsic Decomposition without a Single Intrinsic Image},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jha_2018_ECCV,
author = {Jha, Ananya Harsh and Anand, Saket and Singh, Maneesh and Veeravasarapu, VSR},
title = {Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States-
[pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Guosheng and Liu, Li and Yuan, Yang and Yu, Zehao and Hua, Yang and Zhang, Zhihong and Shen, Fumin and Shao, Ling and Hospedales, Timothy and Robertson, Neil and Yang, Yongxin},
title = {Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Wenqiang and Li, Yonglu and Lu, Cewu},
title = {SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepWrinkles: Accurate and Realistic Clothing Modeling-
[pdf]
[bibtex]@InProceedings{Lahner_2018_ECCV,
author = {Lahner, Zorah and Cremers, Daniel and Tung, Tony},
title = {DeepWrinkles: Accurate and Realistic Clothing Modeling},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recovering 3D Planes from a Single Image via Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Fengting and Zhou, Zihan},
title = {Recovering 3D Planes from a Single Image via Convolutional Neural Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sarkar_2018_ECCV,
author = {Sarkar, Kripasindhu and Hampiholi, Basavaraj and Varanasi, Kiran and Stricker, Didier},
title = {Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Geometric Perspective on Structured Light Coding-
[pdf]
[bibtex]@InProceedings{Gupta_2018_ECCV,
author = {Gupta, Mohit and Nakhate, Nikhil},
title = {A Geometric Perspective on Structured Light Coding},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Liang-Chieh and Zhu, Yukun and Papandreou, George and Schroff, Florian and Adam, Hartwig},
title = {Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust image stitching with multiple registrations-
[pdf]
[bibtex]@InProceedings{Herrmann_2018_ECCV,
author = {Herrmann, Charles and Wang, Chen and Bowen, Richard Strong and Keyder, Emil and Krainin, Michael and Liu, Ce and Zabih, Ramin},
title = {Robust image stitching with multiple registrations},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Xinjing and Wang, Peng and Yang, Ruigang},
title = {Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object-centered image stitching-
[pdf]
[bibtex]@InProceedings{Herrmann_2018_ECCV,
author = {Herrmann, Charles and Wang, Chen and Bowen, Richard Strong and Keyder, Emil and Zabih, Ramin},
title = {Object-centered image stitching},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning-
[pdf]
[bibtex]@InProceedings{Jin_2018_ECCV,
author = {Jin, Shi and Liu, Ruiynag and Ji, Yu and Ye, Jinwei and Yu, Jingyi},
title = {Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CTAP: Complementary Temporal Action Proposal Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Jiyang and Chen, Kan and Nevatia, Ram},
title = {CTAP: Complementary Temporal Action Proposal Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Saleh_2018_ECCV,
author = {Saleh, Fatemeh Sadat and Aliakbarian, Mohammad Sadegh and Salzmann, Mathieu and Petersson, Lars and Alvarez, Jose M.},
title = {Effective Use of Synthetic Data for Urban Scene Semantic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yinda and Khamis, Sameh and Rhemann, Christoph and Valentin, Julien and Kowdle, Adarsh and Tankovich, Vladimir and Schoenberg, Michael and Izadi, Shahram and Funkhouser, Thomas and Fanello, Sean},
title = {ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jayaraman_2018_ECCV,
author = {Jayaraman, Dinesh and Gao, Ruohan and Grauman, Kristen},
title = {ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Xingyi and Karpur, Arjun and Gan, Chuang and Luo, Linjie and Huang, Qixing},
title = {Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Discriminative Video Representations Using Adversarial Perturbations-
[pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Jue and Cherian, Anoop},
title = {Learning Discriminative Video Representations Using Adversarial Perturbations},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Tianwei and Zhao, Xu and Su, Haisheng and Wang, Chongjing and Yang, Ming},
title = {BSN: Boundary Sensitive Network for Temporal Action Proposal Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video-
[pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yin and Liu, Miao and Rehg, James M.},
title = {In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compositional Learning for Human Object Interaction-
[pdf]
[bibtex]@InProceedings{Kato_2018_ECCV,
author = {Kato, Keizo and Li, Yin and Gupta, Abhinav},
title = {Compositional Learning for Human Object Interaction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Open-World Stereo Video Matching with Deep RNN-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhong_2018_ECCV,
author = {Zhong, Yiran and Li, Hongdong and Dai, Yuchao},
title = {Open-World Stereo Video Matching with Deep RNN},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
stagNet: An Attentive Semantic RNN for Group Activity Recognition-
[pdf]
[bibtex]@InProceedings{Qi_2018_ECCV,
author = {Qi, Mengshi and Qin, Jie and Li, Annan and Wang, Yunhong and Luo, Jiebo and Van Gool, Luc},
title = {stagNet: An Attentive Semantic RNN for Group Activity Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network-
[pdf]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Jinseok and Cho, Donghyeon and Ahn, Wonhyuk and Lee, Heung-Kyu},
title = {Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep High Dynamic Range Imaging with Large Foreground Motions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Shangzhe and Xu, Jiarui and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Deep High Dynamic Range Imaging with Large Foreground Motions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching-
[pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Hanyu and Guo, Jianwei and Yan, Dong-Ming and Quan, Weize and Zhang, Xiaopeng},
title = {Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Huajie and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Sheng and Huang, Weilin and Zhang, Haozhi and Zhuang, Chenfan and Dong, Dengke and Scott, Matthew R. and Huang, Dinglong},
title = {CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Jun and Zhang, Lei and Zhang, David},
title = {A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Linear Span Network for Object Skeleton Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Chang and Ke, Wei and Qin, Fei and Ye, Qixiang},
title = {Linear Span Network for Object Skeleton Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs-
[pdf]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Shi and Wu, Chenglei and Wang, Lizhen and Xu, Feng and An, Liang and Guo, Kaiwen and Liu, Yebin},
title = {DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Taihong and Hong, Jiapeng and Ma, Jinwen},
title = {ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Progressive Structure from Motion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Locher_2018_ECCV,
author = {Locher, Alex and Havlena, Michal and Van Gool, Luc},
title = {Progressive Structure from Motion},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction-
[pdf]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Li and Shi, Shaoshuai and Qi, Xiaojuan and Jia, Jiaya},
title = {GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Viewpoint Estimation---Insights & Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Divon_2018_ECCV,
author = {Divon, Gilad and Tal, Ayellet},
title = {Viewpoint Estimation---Insights & Model},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Super-Resolution and Sparse View CT Reconstruction-
[pdf]
[bibtex]@InProceedings{Zang_2018_ECCV,
author = {Zang, Guangming and Aly, Mohamed and Idoughi, Ramzi and Wonka, Peter and Heidrich, Wolfgang},
title = {Super-Resolution and Sparse View CT Reconstruction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
NNEval: Neural Network based Evaluation Metric for Image Captioning-
[pdf]
[bibtex]@InProceedings{Sharif_2018_ECCV,
author = {Sharif, Naeha and White, Lyndon and Bennamoun, Mohammed and Shah, Syed Afaq Ali},
title = {NNEval: Neural Network based Evaluation Metric for Image Captioning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement-
[pdf]
[bibtex]@InProceedings{Heo_2018_ECCV,
author = {Heo, Minhyeok and Lee, Jaehan and Kim, Kyung-Rae and Kim, Han-Ul and Kim, Chang-Su},
title = {Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Filtering with Large Sampling Field for ConvNets-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Jialin and Li, Dai and Yang, Yu and Bajaj, Chandrajit and Ji, Xiangyang},
title = {Dynamic Filtering with Large Sampling Field for ConvNets},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SaaS: Speed as a Supervisor for Semi-supervised Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cicek_2018_ECCV,
author = {Cicek, Safa and Fawzi, Alhussein and Soatto, Stefano},
title = {SaaS: Speed as a Supervisor for Semi-supervised Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos-
[pdf]
[bibtex]@InProceedings{Shou_2018_ECCV,
author = {Shou, Zheng and Gao, Hang and Zhang, Lei and Miyazawa, Kazuyuki and Chang, Shih-Fu},
title = {AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Local Spectral Graph Convolution for Point Set Feature Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Chu and Samari, Babak and Siddiqi, Kaleem},
title = {Local Spectral Graph Convolution for Point Set Feature Learning},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mallya_2018_ECCV,
author = {Mallya, Arun and Davis, Dillon and Lazebnik, Svetlana},
title = {Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
VideoMatch: Matching based Video Object Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.},
title = {VideoMatch: Matching based Video Object Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Wasserstein Divergence for GANs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Jiqing and Huang, Zhiwu and Thoma, Janine and Acharya, Dinesh and Van Gool, Luc},
title = {Wasserstein Divergence for GANs},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-supervised FusedGAN for Conditional Image Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bodla_2018_ECCV,
author = {Bodla, Navaneeth and Hua, Gang and Chellappa, Rama},
title = {Semi-supervised FusedGAN for Conditional Image Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms-
[pdf]
[bibtex]@InProceedings{Bhagoji_2018_ECCV,
author = {Bhagoji, Arjun Nitin and He, Warren and Li, Bo and Song, Dawn},
title = {Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Papandreou_2018_ECCV,
author = {Papandreou, George and Zhu, Tyler and Chen, Liang-Chieh and Gidaris, Spyros and Tompson, Jonathan and Murphy, Kevin},
title = {PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Context Refinement for Object Detection-
[pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Zhe and Huang, Shaoli and Tao, Dacheng},
title = {Context Refinement for Object Detection},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attention-GAN for Object Transfiguration in Wild Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Xinyuan and Xu, Chang and Yang, Xiaokang and Tao, Dacheng},
title = {Attention-GAN for Object Transfiguration in Wild Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose Guided Human Video Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Ceyuan and Wang, Zhe and Zhu, Xinge and Huang, Chen and Shi, Jianping and Lin, Dahua},
title = {Pose Guided Human Video Generation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploring the Limits of Weakly Supervised Pretraining-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mahajan_2018_ECCV,
author = {Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens},
title = {Exploring the Limits of Weakly Supervised Pretraining},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploiting Vector Fields for Geometric Rectification of Distorted Document Images-
[pdf]
[bibtex]@InProceedings{MENG_2018_ECCV,
author = {MENG, Gaofeng and SU, Yuanqi and WU, Ying and XIANG, Shiming and PAN, Chunhong},
title = {Exploiting Vector Fields for Geometric Rectification of Distorted Document Images},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Task-driven Webpage Saliency-
[pdf]
[bibtex]@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Quanlong and Jiao, Jianbo and Cao, Ying and Lau, Rynson W.H.},
title = {Task-driven Webpage Saliency},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Chaowei and Deng, Ruizhi and Li, Bo and Yu, Fisher and Liu, Mingyan and Song, Dawn},
title = {Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DYAN: A Dynamical Atoms-Based Network For Video Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Wenqian and Sharma, Abhishek and Camps, Octavia and Sznaier, Mario},
title = {DYAN: A Dynamical Atoms-Based Network For Video Prediction},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Yifan and Fan, Tianqi and Xu, Mingye and Zeng, Long and Qiao, Yu},
title = {SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hard-Aware Point-to-Set Deep Metric for Person Re-identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Rui and Dou, Zhiyong and Bai, Song and Zhang, Zhaoxiang and Xu, Yongchao and Bai, Xiang},
title = {Hard-Aware Point-to-Set Deep Metric for Person Re-identification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Coded Two-Bucket Cameras for Computer Vision-
[pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Mian and Sarhangnejad, Navid and Xia, Zhengfan and Gusev, Nikita and Katic, Nikola and Genov, Roman and Kutulakos, Kiriakos N.},
title = {Coded Two-Bucket Cameras for Computer Vision},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Egocentric Activity Prediction via Event Modulated Attention-
[pdf]
[bibtex]@InProceedings{Shen_2018_ECCV,
author = {Shen, Yang and Ni, Bingbing and Li, Zefan and Zhuang, Ning},
title = {Egocentric Activity Prediction via Event Modulated Attention},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-Time MDNet-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jung_2018_ECCV,
author = {Jung, Ilchae and Son, Jeany and Baek, Mooyeol and Han, Bohyung},
title = {Real-Time MDNet},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Generation from Sketch Constraint Using Contextual GAN-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2018_ECCV,
author = {Lu, Yongyi and Wu, Shangzhe and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Image Generation from Sketch Constraint Using Contextual GAN},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-Time Hair Rendering using Sequential Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Lingyu and Hu, Liwen and Kim, Vladimir and Yumer, Ersin and Li, Hao},
title = {Real-Time Hair Rendering using Sequential Adversarial Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sparsely Aggregated Convolutional Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Ligeng and Deng, Ruizhi and Maire, Michael and Deng, Zhiwei and Mori, Greg and Tan, Ping},
title = {Sparsely Aggregated Convolutional Networks},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors