Papers
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3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare-
[pdf]
[video]
[bibtex]@InProceedings{Kundu_2018_CVPR,
author = {Kundu, Abhijit and Li, Yin and Rehg, James M.},
title = {3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net-
[pdf]
[video]
[bibtex]@InProceedings{Luo_2018_CVPR,
author = {Luo, Wenjie and Yang, Bin and Urtasun, Raquel},
title = {Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
An Analysis of Scale Invariance in Object Detection SNIP-
[pdf]
[video]
[bibtex]@InProceedings{Singh_2018_CVPR,
author = {Singh, Bharat and Davis, Larry S.},
title = {An Analysis of Scale Invariance in Object Detection SNIP},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Relation Networks for Object Detection-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Hu_2018_CVPR,
author = {Hu, Han and Gu, Jiayuan and Zhang, Zheng and Dai, Jifeng and Wei, Yichen},
title = {Relation Networks for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Zero-Shot Sketch-Image Hashing-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Yuming and Liu, Li and Shen, Fumin and Shao, Ling},
title = {Zero-Shot Sketch-Image Hashing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
VizWiz Grand Challenge: Answering Visual Questions From Blind People-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Gurari_2018_CVPR,
author = {Gurari, Danna and Li, Qing and Stangl, Abigale J. and Guo, Anhong and Lin, Chi and Grauman, Kristen and Luo, Jiebo and Bigham, Jeffrey P.},
title = {VizWiz Grand Challenge: Answering Visual Questions From Blind People},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Sam_2018_CVPR,
author = {Sam, Deepak Babu and Sajjan, Neeraj N. and Babu, R. Venkatesh and Srinivasan, Mukundhan},
title = {Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Structured Set Matching Networks for One-Shot Part Labeling-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Choi_2018_CVPR,
author = {Choi, Jonghyun and Krishnamurthy, Jayant and Kembhavi, Aniruddha and Farhadi, Ali},
title = {Structured Set Matching Networks for One-Shot Part Labeling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Novotny_2018_CVPR,
author = {Novotny, David and Albanie, Samuel and Larlus, Diane and Vedaldi, Andrea},
title = {Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Link and Code: Fast Indexing With Graphs and Compact Regression Codes-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Douze_2018_CVPR,
author = {Douze, Matthijs and Sablayrolles, Alexandre and Jégou, Hervé},
title = {Link and Code: Fast Indexing With Graphs and Compact Regression Codes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Textbook Question Answering Under Instructor Guidance With Memory Networks-
[pdf]
[video]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Juzheng and Su, Hang and Zhu, Jun and Wang, Siyu and Zhang, Bo},
title = {Textbook Question Answering Under Instructor Guidance With Memory Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Deep Generative Adversarial Hashing Network-
[pdf]
[video]
[bibtex]@InProceedings{Dizaji_2018_CVPR,
author = {Dizaji, Kamran Ghasedi and Zheng, Feng and Sadoughi, Najmeh and Yang, Yanhua and Deng, Cheng and Huang, Heng},
title = {Unsupervised Deep Generative Adversarial Hashing Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Anderson_2018_CVPR,
author = {Anderson, Peter and Wu, Qi and Teney, Damien and Bruce, Jake and Johnson, Mark and Sünderhauf, Niko and Reid, Ian and Gould, Stephen and van den Hengel, Anton},
title = {Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DenseASPP for Semantic Segmentation in Street Scenes-
[pdf]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Maoke and Yu, Kun and Zhang, Chi and Li, Zhiwei and Yang, Kuiyuan},
title = {DenseASPP for Semantic Segmentation in Street Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient Optimization for Rank-Based Loss Functions-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Mohapatra_2018_CVPR,
author = {Mohapatra, Pritish and Rolínek, Michal and Jawahar, C.V. and Kolmogorov, Vladimir and Kumar, M. Pawan},
title = {Efficient Optimization for Rank-Based Loss Functions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Wasserstein Introspective Neural Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Lee_2018_CVPR,
author = {Lee, Kwonjoon and Xu, Weijian and Fan, Fan and Tu, Zhuowen},
title = {Wasserstein Introspective Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Taskonomy: Disentangling Task Transfer Learning-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zamir_2018_CVPR,
author = {Zamir, Amir R. and Sax, Alexander and Shen, William and Guibas, Leonidas J. and Malik, Jitendra and Savarese, Silvio},
title = {Taskonomy: Disentangling Task Transfer Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Saito_2018_CVPR,
author = {Saito, Kuniaki and Watanabe, Kohei and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Maximum Classifier Discrepancy for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Feature Learning via Non-Parametric Instance Discrimination-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wu_2018_CVPR,
author = {Wu, Zhirong and Xiong, Yuanjun and Yu, Stella X. and Lin, Dahua},
title = {Unsupervised Feature Learning via Non-Parametric Instance Discrimination},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Task Adversarial Network for Disentangled Feature Learning-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Yang and Wang, Zhaowen and Jin, Hailin and Wassell, Ian},
title = {Multi-Task Adversarial Network for Disentangled Feature Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Sankaranarayanan_2018_CVPR,
author = {Sankaranarayanan, Swami and Balaji, Yogesh and Jain, Arpit and Lim, Ser Nam and Chellappa, Rama},
title = {Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Empirical Study of the Topology and Geometry of Deep Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Fawzi_2018_CVPR,
author = {Fawzi, Alhussein and Moosavi-Dezfooli, Seyed-Mohsen and Frossard, Pascal and Soatto, Stefano},
title = {Empirical Study of the Topology and Geometry of Deep Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Boosting Domain Adaptation by Discovering Latent Domains-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Mancini_2018_CVPR,
author = {Mancini, Massimiliano and Porzi, Lorenzo and Bulò, Samuel Rota and Caputo, Barbara and Ricci, Elisa},
title = {Boosting Domain Adaptation by Discovering Latent Domains},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Shape From Shading Through Shape Evolution-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Dawei and Deng, Jia},
title = {Shape From Shading Through Shape Evolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly Supervised Instance Segmentation Using Class Peak Response-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Yanzhao and Zhu, Yi and Ye, Qixiang and Qiu, Qiang and Jiao, Jianbin},
title = {Weakly Supervised Instance Segmentation Using Class Peak Response},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Collaborative and Adversarial Network for Unsupervised Domain Adaptation-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Weichen and Ouyang, Wanli and Li, Wen and Xu, Dong},
title = {Collaborative and Adversarial Network for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Xie_2018_CVPR,
author = {Xie, Shuqin and Chen, Zitian and Xu, Chao and Lu, Cewu},
title = {Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Teaching Categories to Human Learners With Visual Explanations-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Aodha_2018_CVPR,
author = {Mac Aodha, Oisin and Su, Shihan and Chen, Yuxin and Perona, Pietro and Yue, Yisong},
title = {Teaching Categories to Human Learners With Visual Explanations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Density Adaptive Point Set Registration-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Lawin_2018_CVPR,
author = {Lawin, Felix Järemo and Danelljan, Martin and Khan, Fahad Shahbaz and Forssén, Per-Erik and Felsberg, Michael},
title = {Density Adaptive Point Set Registration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Left-Right Comparative Recurrent Model for Stereo Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Jie_2018_CVPR,
author = {Jie, Zequn and Wang, Pengfei and Ling, Yonggen and Zhao, Bo and Wei, Yunchao and Feng, Jiashi and Liu, Wei},
title = {Left-Right Comparative Recurrent Model for Stereo Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View-
[pdf]
[video]
[bibtex]@InProceedings{Song_2018_CVPR,
author = {Song, Shuran and Zeng, Andy and Chang, Angel X. and Savva, Manolis and Savarese, Silvio and Funkhouser, Thomas},
title = {Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Polarimetric Dense Monocular SLAM-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Luwei and Tan, Feitong and Li, Ao and Cui, Zhaopeng and Furukawa, Yasutaka and Tan, Ping},
title = {Polarimetric Dense Monocular SLAM},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Gallego_2018_CVPR,
author = {Gallego, Guillermo and Rebecq, Henri and Scaramuzza, Davide},
title = {A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Modeling Facial Geometry Using Compositional VAEs-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Bagautdinov_2018_CVPR,
author = {Bagautdinov, Timur and Wu, Chenglei and Saragih, Jason and Fua, Pascal and Sheikh, Yaser},
title = {Modeling Facial Geometry Using Compositional VAEs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Tangent Convolutions for Dense Prediction in 3D-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Tatarchenko_2018_CVPR,
author = {Tatarchenko, Maxim and Park, Jaesik and Koltun, Vladlen and Zhou, Qian-Yi},
title = {Tangent Convolutions for Dense Prediction in 3D},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Paschalidou_2018_CVPR,
author = {Paschalidou, Despoina and Ulusoy, Osman and Schmitt, Carolin and Van Gool, Luc and Geiger, Andreas},
title = {RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Neural 3D Mesh Renderer-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Kato_2018_CVPR,
author = {Kato, Hiroharu and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Neural 3D Mesh Renderer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Dan and Wang, Wei and Tang, Hao and Liu, Hong and Sebe, Nicu and Ricci, Elisa},
title = {Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Automatic 3D Indoor Scene Modeling From Single Panorama-
[pdf]
[video]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Yang and Jin, Shi and Liu, Ruiyang and Kang, Sing Bing and Yu, Jingyi},
title = {Automatic 3D Indoor Scene Modeling From Single Panorama},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Extreme 3D Face Reconstruction: Seeing Through Occlusions-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Trần_2018_CVPR,
author = {Trần, Anh Tuấn and Hassner, Tal and Masi, Iacopo and Paz, Eran and Nirkin, Yuval and Medioni, Gérard},
title = {Extreme 3D Face Reconstruction: Seeing Through Occlusions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Beyond Grobner Bases: Basis Selection for Minimal Solvers-
[pdf]
[video]
[bibtex]@InProceedings{Larsson_2018_CVPR,
author = {Larsson, Viktor and Oskarsson, Magnus and Astrom, Kalle and Wallis, Alge and Kukelova, Zuzana and Pajdla, Tomas},
title = {Beyond Grobner Bases: Basis Selection for Minimal Solvers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images-
[pdf]
[video]
[bibtex]@InProceedings{Zuffi_2018_CVPR,
author = {Zuffi, Silvia and Kanazawa, Angjoo and Black, Michael J.},
title = {Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Ruijia and Chen, Ziliang and Zuo, Wangmeng and Yan, Junjie and Lin, Liang},
title = {Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xia_2018_CVPR,
author = {Xia, Gui-Song and Bai, Xiang and Ding, Jian and Zhu, Zhen and Belongie, Serge and Luo, Jiebo and Datcu, Mihai and Pelillo, Marcello and Zhang, Liangpei},
title = {DOTA: A Large-Scale Dataset for Object Detection in Aerial Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Engilberge_2018_CVPR,
author = {Engilberge, Martin and Chevallier, Louis and Pérez, Patrick and Cord, Matthieu},
title = {Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Feature Super-Resolution: Make Machine See More Clearly-
[pdf]
[bibtex]@InProceedings{Tan_2018_CVPR,
author = {Tan, Weimin and Yan, Bo and Bare, Bahetiyaer},
title = {Feature Super-Resolution: Make Machine See More Clearly},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{LaLonde_2018_CVPR,
author = {LaLonde, Rodney and Zhang, Dong and Shah, Mubarak},
title = {ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Liang-Chieh and Hermans, Alexander and Papandreou, George and Schroff, Florian and Wang, Peng and Adam, Hartwig},
title = {MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Hashing as Tie-Aware Learning to Rank-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2018_CVPR,
author = {He, Kun and Cakir, Fatih and Bargal, Sarah Adel and Sclaroff, Stan},
title = {Hashing as Tie-Aware Learning to Rank},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Classification-Driven Dynamic Image Enhancement-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sharma_2018_CVPR,
author = {Sharma, Vivek and Diba, Ali and Neven, Davy and Brown, Michael S. and Van Gool, Luc and Stiefelhagen, Rainer},
title = {Classification-Driven Dynamic Image Enhancement},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Kan and Gao, Jiyang and Nevatia, Ram},
title = {Knowledge Aided Consistency for Weakly Supervised Phrase Grounding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ehsani_2018_CVPR,
author = {Ehsani, Kiana and Bagherinezhad, Hessam and Redmon, Joseph and Mottaghi, Roozbeh and Farhadi, Ali},
title = {Who Let the Dogs Out? Modeling Dog Behavior From Visual Data},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pseudo Mask Augmented Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Xiangyun and Liang, Shuang and Wei, Yichen},
title = {Pseudo Mask Augmented Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dual Skipping Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2018_CVPR,
author = {Cheng, Changmao and Fu, Yanwei and Jiang, Yu-Gang and Liu, Wei and Lu, Wenlian and Feng, Jianfeng and Xue, Xiangyang},
title = {Dual Skipping Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Memory Matching Networks for One-Shot Image Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cai_2018_CVPR,
author = {Cai, Qi and Pan, Yingwei and Yao, Ting and Yan, Chenggang and Mei, Tao},
title = {Memory Matching Networks for One-Shot Image Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
IQA: Visual Question Answering in Interactive Environments-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gordon_2018_CVPR,
author = {Gordon, Daniel and Kembhavi, Aniruddha and Rastegari, Mohammad and Redmon, Joseph and Fox, Dieter and Farhadi, Ali},
title = {IQA: Visual Question Answering in Interactive Environments},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pose Transferrable Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Jinxian and Ni, Bingbing and Yan, Yichao and Zhou, Peng and Cheng, Shuo and Hu, Jianguo},
title = {Pose Transferrable Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cui_2018_CVPR,
author = {Cui, Yin and Song, Yang and Sun, Chen and Howard, Andrew and Belongie, Serge},
title = {Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Data Distillation: Towards Omni-Supervised Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Radosavovic_2018_CVPR,
author = {Radosavovic, Ilija and Dollár, Piotr and Girshick, Ross and Gkioxari, Georgia and He, Kaiming},
title = {Data Distillation: Towards Omni-Supervised Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Object Referring in Videos With Language and Human Gaze-
[pdf]
[arXiv]
[bibtex]@InProceedings{Vasudevan_2018_CVPR,
author = {Vasudevan, Arun Balajee and Dai, Dengxin and Van Gool, Luc},
title = {Object Referring in Videos With Language and Human Gaze},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Feature Selective Networks for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhai_2018_CVPR,
author = {Zhai, Yao and Fu, Jingjing and Lu, Yan and Li, Houqiang},
title = {Feature Selective Networks for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Yaming and Morariu, Vlad I. and Davis, Larry S.},
title = {Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Grounding Referring Expressions in Images by Variational Context-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Hanwang and Niu, Yulei and Chang, Shih-Fu},
title = {Grounding Referring Expressions in Images by Variational Context},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2018_CVPR,
author = {Kim, Daesik and Yoo, YoungJoon and Kim, Jee-Soo and Lee, SangKuk and Kwak, Nojun},
title = {Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Roveri_2018_CVPR,
author = {Roveri, Riccardo and Rahmann, Lukas and Oztireli, Cengiz and Gross, Markus},
title = {A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards Dense Object Tracking in a 2D Honeybee Hive-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bozek_2018_CVPR,
author = {Bozek, Katarzyna and Hebert, Laetitia and Mikheyev, Alexander S. and Stephens, Greg J.},
title = {Towards Dense Object Tracking in a 2D Honeybee Hive},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhattacharyya_2018_CVPR,
author = {Bhattacharyya, Apratim and Fritz, Mario and Schiele, Bernt},
title = {Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Single-Shot Refinement Neural Network for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Shifeng and Wen, Longyin and Bian, Xiao and Lei, Zhen and Li, Stan Z.},
title = {Single-Shot Refinement Neural Network for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Video Captioning via Hierarchical Reinforcement Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Xin and Chen, Wenhu and Wu, Jiawei and Wang, Yuan-Fang and Wang, William Yang},
title = {Video Captioning via Hierarchical Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Teney_2018_CVPR,
author = {Teney, Damien and Anderson, Peter and He, Xiaodong and van den Hengel, Anton},
title = {Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Segment Every Thing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2018_CVPR,
author = {Hu, Ronghang and Dollár, Piotr and He, Kaiming and Darrell, Trevor and Girshick, Ross},
title = {Learning to Segment Every Thing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Chao and Deng, Cheng and Li, Ning and Liu, Wei and Gao, Xinbo and Tao, Dacheng},
title = {Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhuang_2018_CVPR,
author = {Zhuang, Bohan and Wu, Qi and Shen, Chunhua and Reid, Ian and van den Hengel, Anton},
title = {Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Zigzag Learning for Weakly Supervised Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Xiaopeng and Feng, Jiashi and Xiong, Hongkai and Tian, Qi},
title = {Zigzag Learning for Weakly Supervised Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Wenguan and Xu, Yuanlu and Shen, Jianbing and Zhu, Song-Chun},
title = {Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generalized Zero-Shot Learning via Synthesized Examples-
[pdf]
[arXiv]
[bibtex]@InProceedings{Verma_2018_CVPR,
author = {Verma, Vinay Kumar and Arora, Gundeep and Mishra, Ashish and Rai, Piyush},
title = {Generalized Zero-Shot Learning via Synthesized Examples},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning-
[pdf]
[bibtex]@InProceedings{Cao_2018_CVPR,
author = {Cao, Jiajiong and Li, Yingming and Zhang, Zhongfei},
title = {Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Faraone_2018_CVPR,
author = {Faraone, Julian and Fraser, Nicholas and Blott, Michaela and Leong, Philip H.W.},
title = {SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bernard_2018_CVPR,
author = {Bernard, Florian and Theobalt, Christian and Moeller, Michael},
title = {DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Mutual Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Ying and Xiang, Tao and Hospedales, Timothy M. and Lu, Huchuan},
title = {Deep Mutual Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Coupled End-to-End Transfer Learning With Generalized Fisher Information-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Shixing and Zhang, Caojin and Dong, Ming},
title = {Coupled End-to-End Transfer Learning With Generalized Fisher Information},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Residual Parameter Transfer for Deep Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rozantsev_2018_CVPR,
author = {Rozantsev, Artem and Salzmann, Mathieu and Fua, Pascal},
title = {Residual Parameter Transfer for Deep Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
High-Order Tensor Regularization With Application to Attribute Ranking-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2018_CVPR,
author = {Kim, Kwang In and Park, Juhyun and Tompkin, James},
title = {High-Order Tensor Regularization With Application to Attribute Ranking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Localize Sound Source in Visual Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Senocak_2018_CVPR,
author = {Senocak, Arda and Oh, Tae-Hyun and Kim, Junsik and Yang, Ming-Hsuan and Kweon, In So},
title = {Learning to Localize Sound Source in Visual Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dynamic Few-Shot Visual Learning Without Forgetting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gidaris_2018_CVPR,
author = {Gidaris, Spyros and Komodakis, Nikos},
title = {Dynamic Few-Shot Visual Learning Without Forgetting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Two-Step Quantization for Low-Bit Neural Networks-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Peisong and Hu, Qinghao and Zhang, Yifan and Zhang, Chunjie and Liu, Yang and Cheng, Jian},
title = {Two-Step Quantization for Low-Bit Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Johnston_2018_CVPR,
author = {Johnston, Nick and Vincent, Damien and Minnen, David and Covell, Michele and Singh, Saurabh and Chinen, Troy and Hwang, Sung Jin and Shor, Joel and Toderici, George},
title = {Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Conditional Probability Models for Deep Image Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mentzer_2018_CVPR,
author = {Mentzer, Fabian and Agustsson, Eirikur and Tschannen, Michael and Timofte, Radu and Van Gool, Luc},
title = {Conditional Probability Models for Deep Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Diffeomorphic Transformer Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Detlefsen_2018_CVPR,
author = {Detlefsen, Nicki Skafte and Freifeld, Oren and Hauberg, Søren},
title = {Deep Diffeomorphic Transformer Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Berman_2018_CVPR,
author = {Berman, Maxim and Triki, Amal Rannen and Blaschko, Matthew B.},
title = {The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generative Adversarial Perturbations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Poursaeed_2018_CVPR,
author = {Poursaeed, Omid and Katsman, Isay and Gao, Bicheng and Belongie, Serge},
title = {Generative Adversarial Perturbations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Strict Identity Mappings in Deep Residual Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Xin and Yu, Zhiding and Ramalingam, Srikumar},
title = {Learning Strict Identity Mappings in Deep Residual Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometric Robustness of Deep Networks: Analysis and Improvement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kanbak_2018_CVPR,
author = {Kanbak, Can and Moosavi-Dezfooli, Seyed-Mohsen and Frossard, Pascal},
title = {Geometric Robustness of Deep Networks: Analysis and Improvement},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
View Extrapolation of Human Body From a Single Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Hao and Su, Hao and Wang, Peng and Cao, Xun and Yang, Ruigang},
title = {View Extrapolation of Human Body From a Single Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometry Aware Constrained Optimization Techniques for Deep Learning-
[pdf]
[bibtex]@InProceedings{Roy_2018_CVPR,
author = {Roy, Soumava Kumar and Mhammedi, Zakaria and Harandi, Mehrtash},
title = {Geometry Aware Constrained Optimization Techniques for Deep Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Uy_2018_CVPR,
author = {Uy, Mikaela Angelina and Lee, Gim Hee},
title = {PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Xiyu and Liu, Tongliang and Gong, Mingming and Batmanghelich, Kayhan and Tao, Dacheng},
title = {An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Yin and Tuzel, Oncel},
title = {VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image to Image Translation for Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Murez_2018_CVPR,
author = {Murez, Zak and Kolouri, Soheil and Kriegman, David and Ramamoorthi, Ravi and Kim, Kyungnam},
title = {Image to Image Translation for Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MobileNetV2: Inverted Residuals and Linear Bottlenecks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sandler_2018_CVPR,
author = {Sandler, Mark and Howard, Andrew and Zhu, Menglong and Zhmoginov, Andrey and Chen, Liang-Chieh},
title = {MobileNetV2: Inverted Residuals and Linear Bottlenecks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Im2Struct: Recovering 3D Shape Structure From a Single RGB Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Niu_2018_CVPR,
author = {Niu, Chengjie and Li, Jun and Xu, Kai},
title = {Im2Struct: Recovering 3D Shape Structure From a Single RGB Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling-
[pdf]
[bibtex]@InProceedings{Schilling_2018_CVPR,
author = {Schilling, Hendrik and Diebold, Maximilian and Rother, Carsten and Jähne, Bernd},
title = {Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Baseline Desensitizing in Translation Averaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhuang_2018_CVPR,
author = {Zhuang, Bingbing and Cheong, Loong-Fah and Lee, Gim Hee},
title = {Baseline Desensitizing in Translation Averaging},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Yiru and Feng, Chen and Yang, Yaoqing and Tian, Dong},
title = {Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Landrieu_2018_CVPR,
author = {Landrieu, Loic and Simonovsky, Martin},
title = {Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Very Large-Scale Global SfM by Distributed Motion Averaging-
[pdf]
[bibtex]@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Siyu and Zhang, Runze and Zhou, Lei and Shen, Tianwei and Fang, Tian and Tan, Ping and Quan, Long},
title = {Very Large-Scale Global SfM by Distributed Motion Averaging},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2018_CVPR,
author = {Dai, Angela and Ritchie, Daniel and Bokeloh, Martin and Reed, Scott and Sturm, Jürgen and Nießner, Matthias},
title = {ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition-
[pdf]
[bibtex]@InProceedings{Lan_2018_CVPR,
author = {Lan, Ziquan and Hsu, David and Lee, Gim Hee},
title = {Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Reflection Removal for Large-Scale 3D Point Clouds-
[pdf]
[bibtex]@InProceedings{Yun_2018_CVPR,
author = {Yun, Jae-Seong and Sim, Jae-Young},
title = {Reflection Removal for Large-Scale 3D Point Clouds},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Attentional ShapeContextNet for Point Cloud Recognition-
[pdf]
[bibtex]@InProceedings{Xie_2018_CVPR,
author = {Xie, Saining and Liu, Sainan and Chen, Zeyu and Tu, Zhuowen},
title = {Attentional ShapeContextNet for Point Cloud Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometry-Aware Deep Network for Single-Image Novel View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Miaomiao and He, Xuming and Salzmann, Mathieu},
title = {Geometry-Aware Deep Network for Single-Image Novel View Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
InverseFaceNet: Deep Monocular Inverse Face Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2018_CVPR,
author = {Kim, Hyeongwoo and Zollhöfer, Michael and Tewari, Ayush and Thies, Justus and Richardt, Christian and Theobalt, Christian},
title = {InverseFaceNet: Deep Monocular Inverse Face Rendering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Sparse Photometric 3D Face Reconstruction Guided by Morphable Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cao_2018_CVPR,
author = {Cao, Xuan and Chen, Zhang and Chen, Anpei and Chen, Xin and Li, Shiying and Yu, Jingyi},
title = {Sparse Photometric 3D Face Reconstruction Guided by Morphable Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Texture Mapping for 3D Reconstruction With RGB-D Sensor-
[pdf]
[bibtex]@InProceedings{Fu_2018_CVPR,
author = {Fu, Yanping and Yan, Qingan and Yang, Long and Liao, Jie and Xiao, Chunxia},
title = {Texture Mapping for 3D Reconstruction With RGB-D Sensor},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Less Is More - 6D Camera Localization via 3D Surface Regression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Brachmann_2018_CVPR,
author = {Brachmann, Eric and Rother, Carsten},
title = {Learning Less Is More - 6D Camera Localization via 3D Surface Regression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rad_2018_CVPR,
author = {Rad, Mahdi and Oberweger, Markus and Lepetit, Vincent},
title = {Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Indoor RGB-D Compass From a Single Line and Plane-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2018_CVPR,
author = {Kim, Pyojin and Coltin, Brian and Kim, H. Jin},
title = {Indoor RGB-D Compass From a Single Line and Plane},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometry-Aware Network for Non-Rigid Shape Prediction From a Single View-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pumarola_2018_CVPR,
author = {Pumarola, Albert and Agudo, Antonio and Porzi, Lorenzo and Sanfeliu, Alberto and Lepetit, Vincent and Moreno-Noguer, Francesc},
title = {Geometry-Aware Network for Non-Rigid Shape Prediction From a Single View},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control-
[pdf]
[bibtex]@InProceedings{Sadeghi_2018_CVPR,
author = {Sadeghi, Fereshteh and Toshev, Alexander and Jang, Eric and Levine, Sergey},
title = {Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DocUNet: Document Image Unwarping via a Stacked U-Net-
[pdf]
[bibtex]@InProceedings{Ma_2018_CVPR,
author = {Ma, Ke and Shu, Zhixin and Bai, Xue and Wang, Jue and Samaras, Dimitris},
title = {DocUNet: Document Image Unwarping via a Stacked U-Net},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Analysis of Hand Segmentation in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Urooj_2018_CVPR,
author = {Urooj, Aisha and Borji, Ali},
title = {Analysis of Hand Segmentation in the Wild},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
RoadTracer: Automatic Extraction of Road Networks From Aerial Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bastani_2018_CVPR,
author = {Bastani, Favyen and He, Songtao and Abbar, Sofiane and Alizadeh, Mohammad and Balakrishnan, Hari and Chawla, Sanjay and Madden, Sam and DeWitt, David},
title = {RoadTracer: Automatic Extraction of Road Networks From Aerial Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Alternating-Stereo VINS: Observability Analysis and Performance Evaluation-
[pdf]
[bibtex]@InProceedings{Paul_2018_CVPR,
author = {Paul, Mrinal K. and Roumeliotis, Stergios I.},
title = {Alternating-Stereo VINS: Observability Analysis and Performance Evaluation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Soccer on Your Tabletop-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rematas_2018_CVPR,
author = {Rematas, Konstantinos and Kemelmacher-Shlizerman, Ira and Curless, Brian and Seitz, Steve},
title = {Soccer on Your Tabletop},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shin_2018_CVPR,
author = {Shin, Changha and Jeon, Hae-Gon and Yoon, Youngjin and Kweon, In So and Kim, Seon Joo},
title = {EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2018_CVPR,
author = {Liang, Zhetong and Xu, Jun and Zhang, David and Cao, Zisheng and Zhang, Lei},
title = {A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deeply Learned Filter Response Functions for Hyperspectral Reconstruction-
[pdf]
[bibtex]@InProceedings{Nie_2018_CVPR,
author = {Nie, Shijie and Gu, Lin and Zheng, Yinqiang and Lam, Antony and Ono, Nobutaka and Sato, Imari},
title = {Deeply Learned Filter Response Functions for Hyperspectral Reconstruction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wan_2018_CVPR,
author = {Wan, Renjie and Shi, Boxin and Duan, Ling-Yu and Tan, Ah-Hwee and Kot, Alex C.},
title = {CRRN: Multi-Scale Guided Concurrent Reflection Removal Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Single Image Reflection Separation With Perceptual Losses-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Xuaner and Ng, Ren and Chen, Qifeng},
title = {Single Image Reflection Separation With Perceptual Losses},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection-
[pdf]
[supp]
[bibtex]@InProceedings{Lao_2018_CVPR,
author = {Lao, Yizhen and Ait-Aider, Omar},
title = {A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo-
[pdf]
[bibtex]@InProceedings{Tanaka_2018_CVPR,
author = {Tanaka, Kenichiro and Ikeya, Nobuhiro and Takatani, Tsuyoshi and Kubo, Hiroyuki and Funatomi, Takuya and Mukaigawa, Yasuhiro},
title = {Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient Diverse Ensemble for Discriminative Co-Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Meshgi_2018_CVPR,
author = {Meshgi, Kourosh and Oba, Shigeyuki and Ishii, Shin},
title = {Efficient Diverse Ensemble for Discriminative Co-Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Bapat_2018_CVPR,
author = {Bapat, Akash and Price, True and Frahm, Jan-Michael},
title = {Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Twofold Siamese Network for Real-Time Object Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2018_CVPR,
author = {He, Anfeng and Luo, Chong and Tian, Xinmei and Zeng, Wenjun},
title = {A Twofold Siamese Network for Real-Time Object Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Cue Correlation Filters for Robust Visual Tracking-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Ning and Zhou, Wengang and Tian, Qi and Hong, Richang and Wang, Meng and Li, Houqiang},
title = {Multi-Cue Correlation Filters for Robust Visual Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Qiang and Teng, Zhu and Xing, Junliang and Gao, Jin and Hu, Weiming and Maybank, Stephen},
title = {Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Xiao and Li, Chenglong and Luo, Bin and Tang, Jin},
title = {SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
High-Speed Tracking With Multi-Kernel Correlation Filters-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2018_CVPR,
author = {Tang, Ming and Yu, Bin and Zhang, Fan and Wang, Jinqiao},
title = {High-Speed Tracking With Multi-Kernel Correlation Filters},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Occlusion Aware Unsupervised Learning of Optical Flow-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Yang and Yang, Yi and Yang, Zhenheng and Zhao, Liang and Wang, Peng and Xu, Wei},
title = {Occlusion Aware Unsupervised Learning of Optical Flow},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Wenguan and Shen, Jianbing and Guo, Fang and Cheng, Ming-Ming and Borji, Ali},
title = {Revisiting Video Saliency: A Large-Scale Benchmark and a New Model},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Feng and Tian, Cheng and Zuo, Wangmeng and Zhang, Lei and Yang, Ming-Hsuan},
title = {Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multimodal Visual Concept Learning With Weakly Supervised Techniques-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bouritsas_2018_CVPR,
author = {Bouritsas, Giorgos and Koutras, Petros and Zlatintsi, Athanasia and Maragos, Petros},
title = {Multimodal Visual Concept Learning With Weakly Supervised Techniques},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Jialiang and Khoram, Soroosh and Li, Jing},
title = {Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning a Complete Image Indexing Pipeline-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jain_2018_CVPR,
author = {Jain, Himalaya and Zepeda, Joaquin and Pérez, Patrick and Gribonval, Rémi},
title = {Learning a Complete Image Indexing Pipeline},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mascharka_2018_CVPR,
author = {Mascharka, David and Tran, Philip and Soklaski, Ryan and Majumdar, Arjun},
title = {Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fooling Vision and Language Models Despite Localization and Attention Mechanism-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Xiaojun and Chen, Xinyun and Liu, Chang and Rohrbach, Anna and Darrell, Trevor and Song, Dawn},
title = {Fooling Vision and Language Models Despite Localization and Attention Mechanism},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Categorizing Concepts With Basic Level for Vision-to-Language-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Hanzhang and Wang, Hanli and Xu, Kaisheng},
title = {Categorizing Concepts With Basic Level for Vision-to-Language},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Agrawal_2018_CVPR,
author = {Agrawal, Aishwarya and Batra, Dhruv and Parikh, Devi and Kembhavi, Aniruddha},
title = {Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ahn_2018_CVPR,
author = {Ahn, Jiwoon and Kwak, Suha},
title = {Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
From Lifestyle Vlogs to Everyday Interactions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fouhey_2018_CVPR,
author = {Fouhey, David F. and Kuo, Wei-cheng and Efros, Alexei A. and Malik, Jitendra},
title = {From Lifestyle Vlogs to Everyday Interactions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Inoue_2018_CVPR,
author = {Inoue, Naoto and Furuta, Ryosuke and Yamasaki, Toshihiko and Aizawa, Kiyoharu},
title = {Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kanezaki_2018_CVPR,
author = {Kanezaki, Asako and Matsushita, Yasuyuki and Nishida, Yoshifumi},
title = {RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
An End-to-End TextSpotter With Explicit Alignment and Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2018_CVPR,
author = {He, Tong and Tian, Zhi and Huang, Weilin and Shen, Chunhua and Qiao, Yu and Sun, Changming},
title = {An End-to-End TextSpotter With Explicit Alignment and Attention},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Chavdarova_2018_CVPR,
author = {Chavdarova, Tatjana and Baqué, Pierre and Bouquet, Stéphane and Maksai, Andrii and Jose, Cijo and Bagautdinov, Timur and Lettry, Louis and Fua, Pascal and Van Gool, Luc and Fleuret, François},
title = {WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Direct Shape Regression Networks for End-to-End Face Alignment-
[pdf]
[bibtex]@InProceedings{Miao_2018_CVPR,
author = {Miao, Xin and Zhen, Xiantong and Liu, Xianglong and Deng, Cheng and Athitsos, Vassilis and Huang, Heng},
title = {Direct Shape Regression Networks for End-to-End Face Alignment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Natural and Effective Obfuscation by Head Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2018_CVPR,
author = {Sun, Qianru and Ma, Liqian and Oh, Seong Joon and Van Gool, Luc and Schiele, Bernt and Fritz, Mario},
title = {Natural and Effective Obfuscation by Head Inpainting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
3D Semantic Trajectory Reconstruction From 3D Pixel Continuum-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yoon_2018_CVPR,
author = {Yoon, Jae Shin and Li, Ziwei and Park, Hyun Soo},
title = {3D Semantic Trajectory Reconstruction From 3D Pixel Continuum},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Han_2018_CVPR,
author = {Han, Shizhong and Meng, Zibo and Li, Zhiyuan and O'Reilly, James and Cai, Jie and Wang, Xiaofeng and Tong, Yan},
title = {Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moon_2018_CVPR,
author = {Moon, Gyeongsik and Chang, Ju Yong and Lee, Kyoung Mu},
title = {V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Ring Loss: Convex Feature Normalization for Face Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2018_CVPR,
author = {Zheng, Yutong and Pal, Dipan K. and Savvides, Marios},
title = {Ring Loss: Convex Feature Normalization for Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Adversarially Occluded Samples for Person Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Houjing and Li, Dangwei and Zhang, Zhang and Chen, Xiaotang and Huang, Kaiqi},
title = {Adversarially Occluded Samples for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yong and Dong, Weiming and Hu, Bao-Gang and Ji, Qiang},
title = {Classifier Learning With Prior Probabilities for Facial Action Unit Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications-
[pdf]
[bibtex]@InProceedings{Cheng_2018_CVPR,
author = {Cheng, Shiyang and Kotsia, Irene and Pantic, Maja and Zafeiriou, Stefanos},
title = {4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Seeing Small Faces From Robust Anchor's Perspective-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2018_CVPR,
author = {Zhu, Chenchen and Tao, Ran and Luu, Khoa and Savvides, Marios},
title = {Seeing Small Faces From Robust Anchor's Perspective},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luvizon_2018_CVPR,
author = {Luvizon, Diogo C. and Picard, David and Tabia, Hedi},
title = {2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dense 3D Regression for Hand Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wan_2018_CVPR,
author = {Wan, Chengde and Probst, Thomas and Van Gool, Luc and Yao, Angela},
title = {Dense 3D Regression for Hand Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Camera Style Adaptation for Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhong_2018_CVPR,
author = {Zhong, Zhun and Zheng, Liang and Zheng, Zhedong and Li, Shaozi and Yang, Yi},
title = {Camera Style Adaptation for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PoseTrack: A Benchmark for Human Pose Estimation and Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Andriluka_2018_CVPR,
author = {Andriluka, Mykhaylo and Iqbal, Umar and Insafutdinov, Eldar and Pishchulin, Leonid and Milan, Anton and Gall, Juergen and Schiele, Bernt},
title = {PoseTrack: A Benchmark for Human Pose Estimation and Tracking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning-
[pdf]
[bibtex]@InProceedings{Wu_2018_CVPR,
author = {Wu, Yu and Lin, Yutian and Dong, Xuanyi and Yan, Yan and Ouyang, Wanli and Yang, Yi},
title = {Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cao_2018_CVPR,
author = {Cao, Kaidi and Rong, Yu and Li, Cheng and Tang, Xiaoou and Loy, Chen Change},
title = {Pose-Robust Face Recognition via Deep Residual Equivariant Mapping},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Jiang and Gao, Chenqiang and Meng, Deyu and Hauptmann, Alexander G.},
title = {DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LSTM Pose Machines-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2018_CVPR,
author = {Luo, Yue and Ren, Jimmy and Wang, Zhouxia and Sun, Wenxiu and Pan, Jinshan and Liu, Jianbo and Pang, Jiahao and Lin, Liang},
title = {LSTM Pose Machines},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Feng and Zhu, Ronghang and Zeng, Dan and Zhao, Qijun and Liu, Xiaoming},
title = {Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Convolutional Sequence to Sequence Model for Human Dynamics-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Chen and Zhang, Zhen and Lee, Wee Sun and Lee, Gim Hee},
title = {Convolutional Sequence to Sequence Model for Human Dynamics},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Gesture Recognition: Focus on the Hands-
[pdf]
[bibtex]@InProceedings{Narayana_2018_CVPR,
author = {Narayana, Pradyumna and Beveridge, Ross and Draper, Bruce A.},
title = {Gesture Recognition: Focus on the Hands},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Crowd Counting via Adversarial Cross-Scale Consistency Pursuit-
[pdf]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Zan and Xu, Yi and Ni, Bingbing and Wang, Minsi and Hu, Jianguo and Yang, Xiaokang},
title = {Crowd Counting via Adversarial Cross-Scale Consistency Pursuit},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
3D Human Pose Estimation in the Wild by Adversarial Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Wei and Ouyang, Wanli and Wang, Xiaolong and Ren, Jimmy and Li, Hongsheng and Wang, Xiaogang},
title = {3D Human Pose Estimation in the Wild by Adversarial Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CosFace: Large Margin Cosine Loss for Deep Face Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Hao and Wang, Yitong and Zhou, Zheng and Ji, Xing and Gong, Dihong and Zhou, Jingchao and Li, Zhifeng and Liu, Wei},
title = {CosFace: Large Margin Cosine Loss for Deep Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction-
[pdf]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Yanyu and Piao, Zhixin and Gao, Shenghua},
title = {Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Mean-Variance Loss for Deep Age Estimation From a Face-
[pdf]
[bibtex]@InProceedings{Pan_2018_CVPR,
author = {Pan, Hongyu and Han, Hu and Shan, Shiguang and Chen, Xilin},
title = {Mean-Variance Loss for Deep Age Estimation From a Face},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction-
[pdf]
[bibtex]@InProceedings{Madsen_2018_CVPR,
author = {Madsen, Dennis and Lüthi, Marcel and Schneider, Andreas and Vetter, Thomas},
title = {Probabilistic Joint Face-Skull Modelling for Facial Reconstruction},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Latent Super-Events to Detect Multiple Activities in Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Piergiovanni_2018_CVPR,
author = {Piergiovanni, AJ and Ryoo, Michael S.},
title = {Learning Latent Super-Events to Detect Multiple Activities in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Temporal Hallucinating for Action Recognition With Few Still Images-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Yali and Zhou, Lei and Qiao, Yu},
title = {Temporal Hallucinating for Action Recognition With Few Still Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition-
[pdf]
[bibtex]@InProceedings{Tang_2018_CVPR,
author = {Tang, Yansong and Tian, Yi and Lu, Jiwen and Li, Peiyang and Zhou, Jie},
title = {Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Gaze Prediction in Dynamic 360° Immersive Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Yanyu and Dong, Yanbing and Wu, Junru and Sun, Zhengzhong and Shi, Zhiru and Yu, Jingyi and Gao, Shenghua},
title = {Gaze Prediction in Dynamic 360° Immersive Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
When Will You Do What? - Anticipating Temporal Occurrences of Activities-
[pdf]
[bibtex]@InProceedings{Farha_2018_CVPR,
author = {Abu Farha, Yazan and Richard, Alexander and Gall, Juergen},
title = {When Will You Do What? - Anticipating Temporal Occurrences of Activities},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes-
[pdf]
[bibtex]@InProceedings{Ren_2018_CVPR,
author = {Ren, Weihong and Kang, Di and Tang, Yandong and Chan, Antoni B.},
title = {Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Si_2018_CVPR,
author = {Si, Jianlou and Zhang, Honggang and Li, Chun-Guang and Kuen, Jason and Kong, Xiangfei and Kot, Alex C. and Wang, Gang},
title = {Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints-
[pdf]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Jiahuan and Su, Bing and Wu, Ying},
title = {Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Crowd Counting With Deep Negative Correlation Learning-
[pdf]
[bibtex]@InProceedings{Shi_2018_CVPR,
author = {Shi, Zenglin and Zhang, Le and Liu, Yun and Cao, Xiaofeng and Ye, Yangdong and Cheng, Ming-Ming and Zheng, Guoyan},
title = {Crowd Counting With Deep Negative Correlation Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Human Appearance Transfer-
[pdf]
[bibtex]@InProceedings{Zanfir_2018_CVPR,
author = {Zanfir, Mihai and Popa, Alin-Ionut and Zanfir, Andrei and Sminchisescu, Cristian},
title = {Human Appearance Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Domain Generalization With Adversarial Feature Learning-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Haoliang and Pan, Sinno Jialin and Wang, Shiqi and Kot, Alex C.},
title = {Domain Generalization With Adversarial Feature Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pyramid Stereo Matching Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chang_2018_CVPR,
author = {Chang, Jia-Ren and Chen, Yong-Sheng},
title = {Pyramid Stereo Matching Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Maqueda_2018_CVPR,
author = {Maqueda, Ana I. and Loquercio, Antonio and Gallego, Guillermo and García, Narciso and Scaramuzza, Davide},
title = {Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Answer Embeddings for Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2018_CVPR,
author = {Hu, Hexiang and Chao, Wei-Lun and Sha, Fei},
title = {Learning Answer Embeddings for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Good View Hunting: Learning Photo Composition From Dense View Pairs-
[pdf]
[bibtex]@InProceedings{Wei_2018_CVPR,
author = {Wei, Zijun and Zhang, Jianming and Shen, Xiaohui and Lin, Zhe and Mech, Radomír and Hoai, Minh and Samaras, Dimitris},
title = {Good View Hunting: Learning Photo Composition From Dense View Pairs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2018_CVPR,
author = {Lee, Kuang-Huei and He, Xiaodong and Zhang, Lei and Yang, Linjun},
title = {CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Shuai and Li, Wanqing and Cook, Chris and Zhu, Ce and Gao, Yanbo},
title = {Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Yaxing and van de Weijer, Joost and Herranz, Luis},
title = {Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Structured Uncertainty Prediction Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dorta_2018_CVPR,
author = {Dorta, Garoe and Vicente, Sara and Agapito, Lourdes and Campbell, Neill D. F. and Simpson, Ivor},
title = {Structured Uncertainty Prediction Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Between-Class Learning for Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tokozume_2018_CVPR,
author = {Tokozume, Yuji and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Between-Class Learning for Image Classification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Adversarial Feature Augmentation for Unsupervised Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Volpi_2018_CVPR,
author = {Volpi, Riccardo and Morerio, Pietro and Savarese, Silvio and Murino, Vittorio},
title = {Adversarial Feature Augmentation for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generative Image Inpainting With Contextual Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Jiahui and Lin, Zhe and Yang, Jimei and Shen, Xiaohui and Lu, Xin and Huang, Thomas S.},
title = {Generative Image Inpainting With Contextual Attention},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CSGNet: Neural Shape Parser for Constructive Solid Geometry-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sharma_2018_CVPR,
author = {Sharma, Gopal and Goyal, Rishabh and Liu, Difan and Kalogerakis, Evangelos and Maji, Subhransu},
title = {CSGNet: Neural Shape Parser for Constructive Solid Geometry},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Conditional Image-to-Image Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2018_CVPR,
author = {Lin, Jianxin and Xia, Yingce and Qin, Tao and Chen, Zhibo and Liu, Tie-Yan},
title = {Conditional Image-to-Image Translation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Continuous Relaxation of MAP Inference: A Nonconvex Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lê-Huu_2018_CVPR,
author = {Lê-Huu, D. Khuê and Paragios, Nikos},
title = {Continuous Relaxation of MAP Inference: A Nonconvex Perspective},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Feature Generating Networks for Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xian_2018_CVPR,
author = {Xian, Yongqin and Lorenz, Tobias and Schiele, Bernt and Akata, Zeynep},
title = {Feature Generating Networks for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Joint Optimization Framework for Learning With Noisy Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tanaka_2018_CVPR,
author = {Tanaka, Daiki and Ikami, Daiki and Yamasaki, Toshihiko and Aizawa, Kiyoharu},
title = {Joint Optimization Framework for Learning With Noisy Labels},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Convolutional Image Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Aneja_2018_CVPR,
author = {Aneja, Jyoti and Deshpande, Aditya and Schwing, Alexander G.},
title = {Convolutional Image Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
AON: Towards Arbitrarily-Oriented Text Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2018_CVPR,
author = {Cheng, Zhanzhan and Xu, Yangliu and Bai, Fan and Niu, Yi and Pu, Shiliang and Zhou, Shuigeng},
title = {AON: Towards Arbitrarily-Oriented Text Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Wrapped Gaussian Process Regression on Riemannian Manifolds-
[pdf]
[bibtex]@InProceedings{Mallasto_2018_CVPR,
author = {Mallasto, Anton and Feragen, Aasa},
title = {Wrapped Gaussian Process Regression on Riemannian Manifolds},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning-
[pdf]
[bibtex]@InProceedings{Gan_2018_CVPR,
author = {Gan, Chuang and Gong, Boqing and Liu, Kun and Su, Hao and Guibas, Leonidas J.},
title = {Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DiverseNet: When One Right Answer Is Not Enough-
[pdf]
[arXiv]
[bibtex]@InProceedings{Firman_2018_CVPR,
author = {Firman, Michael and Campbell, Neill D. F. and Agapito, Lourdes and Brostow, Gabriel J.},
title = {DiverseNet: When One Right Answer Is Not Enough},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting-
[pdf]
[supp]
[bibtex]@InProceedings{Jamal_2018_CVPR,
author = {Jamal, Muhammad Abdullah and Li, Haoxiang and Gong, Boqing},
title = {Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Analyzing Filters Toward Efficient ConvNet-
[pdf]
[supp]
[bibtex]@InProceedings{Kobayashi_2018_CVPR,
author = {Kobayashi, Takumi},
title = {Analyzing Filters Toward Efficient ConvNet},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Regularizing Deep Networks by Modeling and Predicting Label Structure-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mostajabi_2018_CVPR,
author = {Mostajabi, Mohammadreza and Maire, Michael and Shakhnarovich, Gregory},
title = {Regularizing Deep Networks by Modeling and Predicting Label Structure},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bulò_2018_CVPR,
author = {Bulò, Samuel Rota and Porzi, Lorenzo and Kontschieder, Peter},
title = {In-Place Activated BatchNorm for Memory-Optimized Training of DNNs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DVQA: Understanding Data Visualizations via Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kafle_2018_CVPR,
author = {Kafle, Kushal and Price, Brian and Cohen, Scott and Kanan, Christopher},
title = {DVQA: Understanding Data Visualizations via Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2018_CVPR,
author = {Ma, Shuang and Fu, Jianlong and Chen, Chang Wen and Mei, Tao},
title = {DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mahjourian_2018_CVPR,
author = {Mahjourian, Reza and Wicke, Martin and Angelova, Anelia},
title = {Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
FOTS: Fast Oriented Text Spotting With a Unified Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Xuebo and Liang, Ding and Yan, Shi and Chen, Dagui and Qiao, Yu and Yan, Junjie},
title = {FOTS: Fast Oriented Text Spotting With a Unified Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Mobile Video Object Detection With Temporally-Aware Feature Maps-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Mason and Zhu, Menglong},
title = {Mobile Video Object Detection With Temporally-Aware Feature Maps},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network-
[pdf]
[bibtex]@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Fang and Li, Jianshu and Zhao, Jian and Feng, Jiashi},
title = {Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Radenović_2018_CVPR,
author = {Radenović, Filip and Iscen, Ahmet and Tolias, Giorgos and Avrithis, Yannis and Chum, Ondřej},
title = {Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cross-Dataset Adaptation for Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chao_2018_CVPR,
author = {Chao, Wei-Lun and Hu, Hexiang and Sha, Fei},
title = {Cross-Dataset Adaptation for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Joo_2018_CVPR,
author = {Joo, Kyungdon and Oh, Tae-Hyun and Kweon, In So and Bazin, Jean-Charles},
title = {Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Convolutional Semantic Embeddings-
[pdf]
[bibtex]@InProceedings{You_2018_CVPR,
author = {You, Quanzeng and Zhang, Zhengyou and Luo, Jiebo},
title = {End-to-End Convolutional Semantic Embeddings},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Referring Image Segmentation via Recurrent Refinement Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Ruiyu and Li, Kaican and Kuo, Yi-Chun and Shu, Michelle and Qi, Xiaojuan and Shen, Xiaoyong and Jia, Jiaya},
title = {Referring Image Segmentation via Recurrent Refinement Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2018_CVPR,
author = {Jain, Unnat and Lazebnik, Svetlana and Schwing, Alexander G.},
title = {Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generative Adversarial Learning Towards Fast Weakly Supervised Detection-
[pdf]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Yunhan and Ji, Rongrong and Zhang, Shengchuan and Zuo, Wangmeng and Wang, Yan},
title = {Generative Adversarial Learning Towards Fast Weakly Supervised Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Deeper Look at Power Normalizations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Koniusz_2018_CVPR,
author = {Koniusz, Piotr and Zhang, Hongguang and Porikli, Fatih},
title = {A Deeper Look at Power Normalizations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dimensionality's Blessing: Clustering Images by Underlying Distribution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2018_CVPR,
author = {Lin, Wen-Yan and Liu, Siying and Lai, Jian-Huang and Matsushita, Yasuyuki},
title = {Dimensionality's Blessing: Clustering Images by Underlying Distribution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Eliminating Background-Bias for Robust Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Tian_2018_CVPR,
author = {Tian, Maoqing and Yi, Shuai and Li, Hongsheng and Li, Shihua and Zhang, Xuesen and Shi, Jianping and Yan, Junjie and Wang, Xiaogang},
title = {Eliminating Background-Bias for Robust Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Evaluate Image Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cui_2018_CVPR,
author = {Cui, Yin and Yang, Guandao and Veit, Andreas and Huang, Xun and Belongie, Serge},
title = {Learning to Evaluate Image Captioning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Single-Shot Object Detection With Enriched Semantics-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Zhishuai and Qiao, Siyuan and Xie, Cihang and Shen, Wei and Wang, Bo and Yuille, Alan L.},
title = {Single-Shot Object Detection With Enriched Semantics},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Low-Shot Learning With Imprinted Weights-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qi_2018_CVPR,
author = {Qi, Hang and Brown, Matthew and Lowe, David G.},
title = {Low-Shot Learning With Imprinted Weights},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Neural Motifs: Scene Graph Parsing With Global Context-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zellers_2018_CVPR,
author = {Zellers, Rowan and Yatskar, Mark and Thomson, Sam and Choi, Yejin},
title = {Neural Motifs: Scene Graph Parsing With Global Context},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Variational Autoencoders for Deforming 3D Mesh Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tan_2018_CVPR,
author = {Tan, Qingyang and Gao, Lin and Lai, Yu-Kun and Xia, Shihong},
title = {Variational Autoencoders for Deforming 3D Mesh Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dhawale_2018_CVPR,
author = {Dhawale, Aditya and Shankar, Kumar Shaurya and Michael, Nathan},
title = {Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Peng and Yang, Ruigang and Cao, Binbin and Xu, Wei and Lin, Yuanqing},
title = {DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Yiping and Wang, Jingkang and Li, Jonathan and Lu, Cewu and Luo, Zhipeng and Xue, Han and Wang, Cheng},
title = {LiDAR-Video Driving Dataset: Learning Driving Policies Effectively},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sage_2018_CVPR,
author = {Sage, Alexander and Agustsson, Eirikur and Timofte, Radu and Van Gool, Luc},
title = {Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Egocentric Basketball Motion Planning From a Single First-Person Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bertasius_2018_CVPR,
author = {Bertasius, Gedas and Chan, Aaron and Shi, Jianbo},
title = {Egocentric Basketball Motion Planning From a Single First-Person Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2018_CVPR,
author = {Qi, Siyuan and Zhu, Yixin and Huang, Siyuan and Jiang, Chenfanfu and Zhu, Song-Chun},
title = {Human-Centric Indoor Scene Synthesis Using Stochastic Grammar},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Rotation-Sensitive Regression for Oriented Scene Text Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liao_2018_CVPR,
author = {Liao, Minghui and Zhu, Zhen and Shi, Baoguang and Xia, Gui-song and Bai, Xiang},
title = {Rotation-Sensitive Regression for Oriented Scene Text Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Separating Self-Expression and Visual Content in Hashtag Supervision-
[pdf]
[arXiv]
[bibtex]@InProceedings{Veit_2018_CVPR,
author = {Veit, Andreas and Nickel, Maximilian and Belongie, Serge and van der Maaten, Laurens},
title = {Separating Self-Expression and Visual Content in Hashtag Supervision},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Park_2018_CVPR,
author = {Park, Jongchan and Lee, Joon-Young and Yoo, Donggeun and Kweon, In So},
title = {Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Im2Flow: Motion Hallucination From Static Images for Action Recognition-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Gao_2018_CVPR,
author = {Gao, Ruohan and Xiong, Bo and Grauman, Kristen},
title = {Im2Flow: Motion Hallucination From Static Images for Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, De-An and Buch, Shyamal and Dery, Lucio and Garg, Animesh and Fei-Fei, Li and Niebles, Juan Carlos},
title = {Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Actor and Action Video Segmentation From a Sentence-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Gavrilyuk_2018_CVPR,
author = {Gavrilyuk, Kirill and Ghodrati, Amir and Li, Zhenyang and Snoek, Cees G. M.},
title = {Actor and Action Video Segmentation From a Sentence},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Egocentric Activity Recognition on a Budget-
[pdf]
[video]
[bibtex]@InProceedings{Possas_2018_CVPR,
author = {Possas, Rafael and Caceres, Sheila Pinto and Ramos, Fabio},
title = {Egocentric Activity Recognition on a Budget},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Bao_2018_CVPR,
author = {Bao, Linchao and Wu, Baoyuan and Liu, Wei},
title = {CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Richard_2018_CVPR,
author = {Richard, Alexander and Kuehne, Hilde and Gall, Juergen},
title = {Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Low-Latency Video Semantic Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Yule and Shi, Jianping and Lin, Dahua},
title = {Low-Latency Video Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fine-Grained Video Captioning for Sports Narrative-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yu_2018_CVPR,
author = {Yu, Huanyu and Cheng, Shuo and Ni, Bingbing and Wang, Minsi and Zhang, Jian and Yang, Xiaokang},
title = {Fine-Grained Video Captioning for Sports Narrative},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Learning of Motion Representation for Video Understanding-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Fan_2018_CVPR,
author = {Fan, Lijie and Huang, Wenbing and Gan, Chuang and Ermon, Stefano and Gong, Boqing and Huang, Junzhou},
title = {End-to-End Learning of Motion Representation for Video Understanding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Compressed Video Action Recognition-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wu_2018_CVPR,
author = {Wu, Chao-Yuan and Zaheer, Manzil and Hu, Hexiang and Manmatha, R. and Smola, Alexander J. and Krähenbühl, Philipp},
title = {Compressed Video Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Features for Multi-Target Multi-Camera Tracking and Re-Identification-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Ristani_2018_CVPR,
author = {Ristani, Ergys and Tomasi, Carlo},
title = {Features for Multi-Target Multi-Camera Tracking and Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Gu_2018_CVPR,
author = {Gu, Chunhui and Sun, Chen and Ross, David A. and Vondrick, Carl and Pantofaru, Caroline and Li, Yeqing and Vijayanarasimhan, Sudheendra and Toderici, George and Ricco, Susanna and Sukthankar, Rahul and Schmid, Cordelia and Malik, Jitendra},
title = {AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Doughty_2018_CVPR,
author = {Doughty, Hazel and Damen, Dima and Mayol-Cuevas, Walterio},
title = {Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Hasan_2018_CVPR,
author = {Hasan, Irtiza and Setti, Francesco and Tsesmelis, Theodore and Del Bue, Alessio and Galasso, Fabio and Cristani, Marco},
title = {MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Anderson_2018_CVPR,
author = {Anderson, Peter and He, Xiaodong and Buehler, Chris and Teney, Damien and Johnson, Mark and Gould, Stephen and Zhang, Lei},
title = {Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Nguyen_2018_CVPR,
author = {Nguyen, Duy-Kien and Okatani, Takayuki},
title = {Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
FlipDial: A Generative Model for Two-Way Visual Dialogue-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Massiceti_2018_CVPR,
author = {Massiceti, Daniela and Siddharth, N. and Dokania, Puneet K. and Torr, Philip H.S.},
title = {FlipDial: A Generative Model for Two-Way Visual Dialogue},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wu_2018_CVPR,
author = {Wu, Qi and Wang, Peng and Shen, Chunhua and Reid, Ian and van den Hengel, Anton},
title = {Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Visual Question Generation as Dual Task of Visual Question Answering-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Yikang and Duan, Nan and Zhou, Bolei and Chu, Xiao and Ouyang, Wanli and Wang, Xiaogang and Zhou, Ming},
title = {Visual Question Generation as Dual Task of Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Unsupervised Textual Grounding: Linking Words to Image Concepts-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yeh_2018_CVPR,
author = {Yeh, Raymond A. and Do, Minh N. and Schwing, Alexander G.},
title = {Unsupervised Textual Grounding: Linking Words to Image Concepts},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Focal Visual-Text Attention for Visual Question Answering-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Liang_2018_CVPR,
author = {Liang, Junwei and Jiang, Lu and Cao, Liangliang and Li, Li-Jia and Hauptmann, Alexander G.},
title = {Focal Visual-Text Attention for Visual Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SeGAN: Segmenting and Generating the Invisible-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Ehsani_2018_CVPR,
author = {Ehsani, Kiana and Mottaghi, Roozbeh and Farhadi, Ali},
title = {SeGAN: Segmenting and Generating the Invisible},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cascade R-CNN: Delving Into High Quality Object Detection-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Cai_2018_CVPR,
author = {Cai, Zhaowei and Vasconcelos, Nuno},
title = {Cascade R-CNN: Delving Into High Quality Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Semantic Concepts and Order for Image and Sentence Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Yan and Wu, Qi and Song, Chunfeng and Wang, Liang},
title = {Learning Semantic Concepts and Order for Image and Sentence Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Functional Map of the World-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Christie_2018_CVPR,
author = {Christie, Gordon and Fendley, Neil and Wilson, James and Mukherjee, Ryan},
title = {Functional Map of the World},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
MegDet: A Large Mini-Batch Object Detector-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Peng_2018_CVPR,
author = {Peng, Chao and Xiao, Tete and Li, Zeming and Jiang, Yuning and Zhang, Xiangyu and Jia, Kai and Yu, Gang and Sun, Jian},
title = {MegDet: A Large Mini-Batch Object Detector},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Globally Optimized Object Detector via Policy Gradient-
[pdf]
[video]
[bibtex]@InProceedings{Rao_2018_CVPR,
author = {Rao, Yongming and Lin, Dahua and Lu, Jiwen and Zhou, Jie},
title = {Learning Globally Optimized Object Detector via Policy Gradient},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Zizhao and Xie, Yuanpu and Yang, Lin},
title = {Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Illuminant Spectra-Based Source Separation Using Flash Photography-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Hui_2018_CVPR,
author = {Hui, Zhuo and Sunkavalli, Kalyan and Hadap, Sunil and Sankaranarayanan, Aswin C.},
title = {Illuminant Spectra-Based Source Separation Using Flash Photography},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Trapping Light for Time of Flight-
[pdf]
[video]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Ruilin and Gupta, Mohit and Nayar, Shree K.},
title = {Trapping Light for Time of Flight},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
The Perception-Distortion Tradeoff-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Blau_2018_CVPR,
author = {Blau, Yochai and Michaeli, Tomer},
title = {The Perception-Distortion Tradeoff},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Hao and Sun, Jin and Yacoob, Yaser and Jacobs, David W.},
title = {Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Optimal Structured Light à La Carte-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Mirdehghan_2018_CVPR,
author = {Mirdehghan, Parsa and Chen, Wenzheng and Kutulakos, Kiriakos N.},
title = {Optimal Structured Light à La Carte},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Smith_2018_CVPR,
author = {Smith, Brandon M. and O'Toole, Matthew and Gupta, Mohit},
title = {Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Inferring Light Fields From Shadows-
[pdf]
[video]
[bibtex]@InProceedings{Baradad_2018_CVPR,
author = {Baradad, Manel and Ye, Vickie and Yedidia, Adam B. and Durand, Frédo and Freeman, William T. and Wornell, Gregory W. and Torralba, Antonio},
title = {Inferring Light Fields From Shadows},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Modifying Non-Local Variations Across Multiple Views-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Tlusty_2018_CVPR,
author = {Tlusty, Tal and Michaeli, Tomer and Dekel, Tali and Zelnik-Manor, Lihi},
title = {Modifying Non-Local Variations Across Multiple Views},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Jie and Tan, Cheen-Hau and Hou, Junhui and Chau, Lap-Pui and Li, He},
title = {Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
SfSNet: Learning Shape, Reflectance and Illuminance of Faces `in the Wild'-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Sengupta_2018_CVPR,
author = {Sengupta, Soumyadip and Kanazawa, Angjoo and Castillo, Carlos D. and Jacobs, David W.},
title = {SfSNet: Learning Shape, Reflectance and Illuminance of Faces `in the Wild'},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs-
[pdf]
[video]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Yu-Sheng and Wang, Yu-Ching and Kao, Man-Hsin and Chuang, Yung-Yu},
title = {Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
LIME: Live Intrinsic Material Estimation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Meka_2018_CVPR,
author = {Meka, Abhimitra and Maximov, Maxim and Zollhöfer, Michael and Chatterjee, Avishek and Seidel, Hans-Peter and Richardt, Christian and Theobalt, Christian},
title = {LIME: Live Intrinsic Material Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Detect Features in Texture Images-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Linguang and Rusinkiewicz, Szymon},
title = {Learning to Detect Features in Texture Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Extract a Video Sequence From a Single Motion-Blurred Image-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Jin_2018_CVPR,
author = {Jin, Meiguang and Meishvili, Givi and Favaro, Paolo},
title = {Learning to Extract a Video Sequence From a Single Motion-Blurred Image},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Anirudh_2018_CVPR,
author = {Anirudh, Rushil and Kim, Hyojin and Thiagarajan, Jayaraman J. and Mohan, K. Aditya and Champley, Kyle and Bremer, Timo},
title = {Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Common Framework for Interactive Texture Transfer-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Men_2018_CVPR,
author = {Men, Yifang and Lian, Zhouhui and Tang, Yingmin and Xiao, Jianguo},
title = {A Common Framework for Interactive Texture Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
AMNet: Memorability Estimation With Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fajtl_2018_CVPR,
author = {Fajtl, Jiri and Argyriou, Vasileios and Monekosso, Dorothy and Remagnino, Paolo},
title = {AMNet: Memorability Estimation With Attention},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Blind Predicting Similar Quality Map for Image Quality Assessment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pan_2018_CVPR,
author = {Pan, Da and Shi, Ping and Hou, Ming and Ying, Zefeng and Fu, Sizhe and Zhang, Yuan},
title = {Blind Predicting Similar Quality Map for Image Quality Assessment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep End-to-End Time-of-Flight Imaging-
[pdf]
[supp]
[bibtex]@InProceedings{Su_2018_CVPR,
author = {Su, Shuochen and Heide, Felix and Wetzstein, Gordon and Heidrich, Wolfgang},
title = {Deep End-to-End Time-of-Flight Imaging},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Aperture Supervision for Monocular Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Srinivasan_2018_CVPR,
author = {Srinivasan, Pratul P. and Garg, Rahul and Wadhwa, Neal and Ng, Ren and Barron, Jonathan T.},
title = {Aperture Supervision for Monocular Depth Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Seeing Temporal Modulation of Lights From Standard Cameras-
[pdf]
[supp]
[bibtex]@InProceedings{Sakakibara_2018_CVPR,
author = {Sakakibara, Naoki and Sakaue, Fumihiko and Sato, Jun},
title = {Seeing Temporal Modulation of Lights From Standard Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Statistical Tomography of Microscopic Life-
[pdf]
[bibtex]@InProceedings{Levis_2018_CVPR,
author = {Levis, Aviad and Schechner, Yoav Y. and Talmon, Ronen},
title = {Statistical Tomography of Microscopic Life},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Divide and Conquer for Full-Resolution Light Field Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Mohan_2018_CVPR,
author = {Mohan, M. R. Mahesh and Rajagopalan, A. N.},
title = {Divide and Conquer for Full-Resolution Light Field Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multispectral Image Intrinsic Decomposition via Subspace Constraint-
[pdf]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Qian and Zhu, Weixin and Zhao, Yang and Chen, Linsen and Wang, Yao and Yue, Tao and Cao, Xun},
title = {Multispectral Image Intrinsic Decomposition via Subspace Constraint},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Improving Color Reproduction Accuracy on Cameras-
[pdf]
[bibtex]@InProceedings{Karaimer_2018_CVPR,
author = {Karaimer, Hakki Can and Brown, Michael S.},
title = {Improving Color Reproduction Accuracy on Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Closer Look at Spatiotemporal Convolutions for Action Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tran_2018_CVPR,
author = {Tran, Du and Wang, Heng and Torresani, Lorenzo and Ray, Jamie and LeCun, Yann and Paluri, Manohar},
title = {A Closer Look at Spatiotemporal Convolutions for Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Inferring Shared Attention in Social Scene Videos-
[pdf]
[bibtex]@InProceedings{Fan_2018_CVPR,
author = {Fan, Lifeng and Chen, Yixin and Wei, Ping and Wang, Wenguan and Zhu, Song-Chun},
title = {Inferring Shared Attention in Social Scene Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Making Convolutional Networks Recurrent for Visual Sequence Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Xiaodong and Molchanov, Pavlo and Kautz, Jan},
title = {Making Convolutional Networks Recurrent for Visual Sequence Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Real-World Anomaly Detection in Surveillance Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sultani_2018_CVPR,
author = {Sultani, Waqas and Chen, Chen and Shah, Mubarak},
title = {Real-World Anomaly Detection in Surveillance Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification-
[pdf]
[bibtex]@InProceedings{Zhou_2018_CVPR,
author = {Zhou, Yi and Shao, Ling},
title = {Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Efficient Video Object Segmentation via Network Modulation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Linjie and Wang, Yanran and Xiong, Xuehan and Yang, Jianchao and Katsaggelos, Aggelos K.},
title = {Efficient Video Object Segmentation via Network Modulation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ding_2018_CVPR,
author = {Ding, Li and Xu, Chenliang},
title = {Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Depth-Aware Stereo Video Retargeting-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Bing and Lin, Chia-Wen and Shi, Boxin and Huang, Tiejun and Gao, Wen and Kuo, C.-C. Jay},
title = {Depth-Aware Stereo Video Retargeting},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Instance Embedding Transfer to Unsupervised Video Object Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Siyang and Seybold, Bryan and Vorobyov, Alexey and Fathi, Alireza and Huang, Qin and Kuo, C.-C. Jay},
title = {Instance Embedding Transfer to Unsupervised Video Object Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Future Frame Prediction for Anomaly Detection – A New Baseline-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Wen and Luo, Weixin and Lian, Dongze and Gao, Shenghua},
title = {Future Frame Prediction for Anomaly Detection – A New Baseline},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hara_2018_CVPR,
author = {Hara, Kensho and Kataoka, Hirokatsu and Satoh, Yutaka},
title = {Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dynamic Video Segmentation Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2018_CVPR,
author = {Xu, Yu-Syuan and Fu, Tsu-Jui and Yang, Hsuan-Kung and Lee, Chun-Yi},
title = {Dynamic Video Segmentation Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Recognize Actions by Disentangling Components of Dynamics-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2018_CVPR,
author = {Zhao, Yue and Xiong, Yuanjun and Lin, Dahua},
title = {Recognize Actions by Disentangling Components of Dynamics},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Motion-Appearance Co-Memory Networks for Video Question Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2018_CVPR,
author = {Gao, Jiyang and Ge, Runzhou and Chen, Kan and Nevatia, Ram},
title = {Motion-Appearance Co-Memory Networks for Video Question Answering},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning to Understand Image Blur-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Shanghang and Shen, Xiaohui and Lin, Zhe and Měch, Radomír and Costeira, João P. and Moura, José M. F.},
title = {Learning to Understand Image Blur},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Bilinski_2018_CVPR,
author = {Bilinski, Piotr and Prisacariu, Victor},
title = {Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Generative Adversarial Image Synthesis With Decision Tree Latent Controller-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kaneko_2018_CVPR,
author = {Kaneko, Takuhiro and Hiramatsu, Kaoru and Kashino, Kunio},
title = {Generative Adversarial Image Synthesis With Decision Tree Latent Controller},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning a Discriminative Prior for Blind Image Deblurring-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Lerenhan and Pan, Jinshan and Lai, Wei-Sheng and Gao, Changxin and Sang, Nong and Yang, Ming-Hsuan},
title = {Learning a Discriminative Prior for Blind Image Deblurring},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Frame-Recurrent Video Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sajjadi_2018_CVPR,
author = {Sajjadi, Mehdi S. M. and Vemulapalli, Raviteja and Brown, Matthew},
title = {Frame-Recurrent Video Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Discovering Point Lights With Intensity Distance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Edward and Cohen, Michael F. and Curless, Brian},
title = {Discovering Point Lights With Intensity Distance Fields},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR,
author = {Li, Minghan and Xie, Qi and Zhao, Qian and Wei, Wei and Gu, Shuhang and Tao, Jing and Meng, Deyu},
title = {Video Rain Streak Removal by Multiscale Convolutional Sparse Coding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Stereoscopic Neural Style Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Dongdong and Yuan, Lu and Liao, Jing and Yu, Nenghai and Hua, Gang},
title = {Stereoscopic Neural Style Transfer},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Frame Quality Enhancement for Compressed Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2018_CVPR,
author = {Yang, Ren and Xu, Mai and Wang, Zulin and Li, Tianyi},
title = {Multi-Frame Quality Enhancement for Compressed Video},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Baslamisli_2018_CVPR,
author = {Baslamisli, Anil S. and Le, Hoang-An and Gevers, Theo},
title = {CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Image Restoration by Estimating Frequency Distribution of Local Patches-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yoo_2018_CVPR,
author = {Yoo, Jaeyoung and Lee, Sang-ho and Kwak, Nojun},
title = {Image Restoration by Estimating Frequency Distribution of Local Patches},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Latent RANSAC-
[pdf]
[arXiv]
[bibtex]@InProceedings{Korman_2018_CVPR,
author = {Korman, Simon and Litman, Roee},
title = {Latent RANSAC},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Two-Stream Convolutional Networks for Dynamic Texture Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tesfaldet_2018_CVPR,
author = {Tesfaldet, Matthew and Brubaker, Marcus A. and Derpanis, Konstantinos G.},
title = {Two-Stream Convolutional Networks for Dynamic Texture Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Towards Open-Set Identity Preserving Face Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bao_2018_CVPR,
author = {Bao, Jianmin and Chen, Dong and Wen, Fang and Li, Houqiang and Hua, Gang},
title = {Towards Open-Set Identity Preserving Face Synthesis},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Revised Underwater Image Formation Model-
[pdf]
[supp]
[bibtex]@InProceedings{Akkaynak_2018_CVPR,
author = {Akkaynak, Derya and Treibitz, Tali},
title = {A Revised Underwater Image Formation Model},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Graph-Cut RANSAC-
[pdf]
[arXiv]
[bibtex]@InProceedings{Barath_2018_CVPR,
author = {Barath, Daniel and Matas, Jiří},
title = {Graph-Cut RANSAC},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Temporal Deformable Residual Networks for Action Segmentation in Videos-
[pdf]
[bibtex]@InProceedings{Lei_2018_CVPR,
author = {Lei, Peng and Todorovic, Sinisa},
title = {Temporal Deformable Residual Networks for Action Segmentation in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly Supervised Action Localization by Sparse Temporal Pooling Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nguyen_2018_CVPR,
author = {Nguyen, Phuc and Liu, Ting and Prasad, Gautam and Han, Bohyung},
title = {Weakly Supervised Action Localization by Sparse Temporal Pooling Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Dingwen and Guo, Guangyu and Huang, Dong and Han, Junwei},
title = {PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
FFNet: Video Fast-Forwarding via Reinforcement Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lan_2018_CVPR,
author = {Lan, Shuyue and Panda, Rameswar and Zhu, Qi and Roy-Chowdhury, Amit K.},
title = {FFNet: Video Fast-Forwarding via Reinforcement Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Multi-Shot Pedestrian Re-Identification via Sequential Decision Making-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Jianfu and Wang, Naiyan and Zhang, Liqing},
title = {Multi-Shot Pedestrian Re-Identification via Sequential Decision Making},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Attend and Interact: Higher-Order Object Interactions for Video Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2018_CVPR,
author = {Ma, Chih-Yao and Kadav, Asim and Melvin, Iain and Kira, Zsolt and AlRegib, Ghassan and Graf, Hans Peter},
title = {Attend and Interact: Higher-Order Object Interactions for Video Understanding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks-
[pdf]
[bibtex]@InProceedings{Wei_2018_CVPR,
author = {Wei, Ping and Liu, Yang and Shu, Tianmin and Zheng, Nanning and Zhu, Song-Chun},
title = {Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Fully Convolutional Adaptation Networks for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yiheng and Qiu, Zhaofan and Yao, Ting and Liu, Dong and Mei, Tao},
title = {Fully Convolutional Adaptation Networks for Semantic Segmentation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Semantic Video Segmentation by Gated Recurrent Flow Propagation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nilsson_2018_CVPR,
author = {Nilsson, David and Sminchisescu, Cristian},
title = {Semantic Video Segmentation by Gated Recurrent Flow Propagation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Interpretable Video Captioning via Trajectory Structured Localization-
[pdf]
[bibtex]@InProceedings{Wu_2018_CVPR,
author = {Wu, Xian and Li, Guanbin and Cao, Qingxing and Ji, Qingge and Lin, Liang},
title = {Interpretable Video Captioning via Trajectory Structured Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Hashing via Discrepancy Minimization-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Zhixiang and Yuan, Xin and Lu, Jiwen and Tian, Qi and Zhou, Jie},
title = {Deep Hashing via Discrepancy Minimization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Xiangyu and Zhou, Xinyu and Lin, Mengxiao and Sun, Jian},
title = {ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Xiaolong and Ye, Yufei and Gupta, Abhinav},
title = {Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Referring Relationships-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Krishna_2018_CVPR,
author = {Krishna, Ranjay and Chami, Ines and Bernstein, Michael and Fei-Fei, Li},
title = {Referring Relationships},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Improving Object Localization With Fitness NMS and Bounded IoU Loss-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tychsen-Smith_2018_CVPR,
author = {Tychsen-Smith, Lachlan and Petersson, Lars},
title = {Improving Object Localization With Fitness NMS and Bounded IoU Loss},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Deep Kronecker-Product Matching for Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2018_CVPR,
author = {Shen, Yantao and Xiao, Tong and Li, Hongsheng and Yi, Shuai and Wang, Xiaogang},
title = {End-to-End Deep Kronecker-Product Matching for Person Re-Identification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Semantic Visual Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Schönberger_2018_CVPR,
author = {Schönberger, Johannes L. and Pollefeys, Marc and Geiger, Andreas and Sattler, Torsten},
title = {Semantic Visual Localization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Objects as Context for Detecting Their Semantic Parts-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gonzalez-Garcia_2018_CVPR,
author = {Gonzalez-Garcia, Abel and Modolo, Davide and Ferrari, Vittorio},
title = {Objects as Context for Detecting Their Semantic Parts},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Weakly-Supervised Semantic Alignment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rocco_2018_CVPR,
author = {Rocco, Ignacio and Arandjelović, Relja and Sivic, Josef},
title = {End-to-End Weakly-Supervised Semantic Alignment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dynamic Zoom-In Network for Fast Object Detection in Large Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2018_CVPR,
author = {Gao, Mingfei and Yu, Ruichi and Li, Ang and Morariu, Vlad I. and Davis, Larry S.},
title = {Dynamic Zoom-In Network for Fast Object Detection in Large Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Learning Markov Clustering Networks for Scene Text Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Zichuan and Lin, Guosheng and Yang, Sheng and Feng, Jiashi and Lin, Weisi and Goh, Wang Ling},
title = {Learning Markov Clustering Networks for Scene Text Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Reinforcement Learning of Region Proposal Networks for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Pirinen_2018_CVPR,
author = {Pirinen, Aleksis and Sminchisescu, Cristian},
title = {Deep Reinforcement Learning of Region Proposal Networks for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Beyond Holistic Object Recognition: Enriching Image Understanding With Part States-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2018_CVPR,
author = {Lu, Cewu and Su, Hao and Li, Yonglu and Lu, Yongyi and Yi, Li and Tang, Chi-Keung and Guibas, Leonidas J.},
title = {Beyond Holistic Object Recognition: Enriching Image Understanding With Part States},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Discriminability Objective for Training Descriptive Captions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2018_CVPR,
author = {Luo, Ruotian and Price, Brian and Cohen, Scott and Shakhnarovich, Gregory},
title = {Discriminability Objective for Training Descriptive Captions},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Visual Question Answering With Memory-Augmented Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ma_2018_CVPR,
author = {Ma, Chao and Shen, Chunhua and Dick, Anthony and Wu, Qi and Wang, Peng and van den Hengel, Anton and Reid, Ian},
title = {Visual Question Answering With Memory-Augmented Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR,
author = {Liu, Yong and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Occluded Pedestrian Detection Through Guided Attention in CNNs-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Shanshan and Yang, Jian and Schiele, Bernt},
title = {Occluded Pedestrian Detection Through Guided Attention in CNNs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Reward Learning From Narrated Demonstrations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tung_2018_CVPR,
author = {Tung, Hsiao-Yu and Harley, Adam W. and Huang, Liang-Kang and Fragkiadaki, Katerina},
title = {Reward Learning From Narrated Demonstrations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing-
[pdf]
[bibtex]@InProceedings{Huang_2018_CVPR,
author = {Huang, Zilong and Wang, Xinggang and Wang, Jiasi and Liu, Wenyu and Wang, Jingdong},
title = {Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
PoTion: Pose MoTion Representation for Action Recognition-
[pdf]
[bibtex]@InProceedings{Choutas_2018_CVPR,
author = {Choutas, Vasileios and Weinzaepfel, Philippe and Revaud, Jérôme and Schmid, Cordelia},
title = {PoTion: Pose MoTion Representation for Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Yong and Zhao, Rui and Dong, Weiming and Hu, Bao-Gang and Ji, Qiang},
title = {Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Pulling Actions out of Context: Explicit Separation for Effective Combination-
[pdf]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Yang and Hoai, Minh},
title = {Pulling Actions out of Context: Explicit Separation for Effective Combination},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Dynamic Feature Learning for Partial Face Recognition-
[pdf]
[bibtex]@InProceedings{He_2018_CVPR,
author = {He, Lingxiao and Li, Haiqing and Zhang, Qi and Sun, Zhenan},
title = {Dynamic Feature Learning for Partial Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Exploiting Transitivity for Learning Person Re-Identification Models on a Budget-
[pdf]
[supp]
[bibtex]@InProceedings{Roy_2018_CVPR,
author = {Roy, Sourya and Paul, Sujoy and Young, Neal E. and Roy-Chowdhury, Amit K.},
title = {Exploiting Transitivity for Learning Person Re-Identification Models on a Budget},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2018_CVPR,
author = {He, Lingxiao and Liang, Jian and Li, Haiqing and Sun, Zhenan},
title = {Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Every Smile Is Unique: Landmark-Guided Diverse Smile Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR,
author = {Wang, Wei and Alameda-Pineda, Xavier and Xu, Dan and Fua, Pascal and Ricci, Elisa and Sebe, Nicu},
title = {Every Smile Is Unique: Landmark-Guided Diverse Smile Generation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Deng_2018_CVPR,
author = {Deng, Jiankang and Cheng, Shiyang and Xue, Niannan and Zhou, Yuxiang and Zafeiriou, Stefanos},
title = {UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Cascaded Pyramid Network for Multi-Person Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR,
author = {Chen, Yilun and Wang, Zhicheng and Peng, Yuxiang and Zhang, Zhiqiang and Yu, Gang and Sun, Jian},
title = {Cascaded Pyramid Network for Multi-Person Pose Estimation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
A Face-to-Face Neural Conversation Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chu_2018_CVPR,
author = {Chu, Hang and Li, Daiqing and Fidler, Sanja},
title = {A Face-to-Face Neural Conversation Model},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
End-to-End Recovery of Human Shape and Pose-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kanazawa_2018_CVPR,
author = {Kanazawa, Angjoo and Black, Michael J. and Jacobs, David W. and Malik, Jitendra},
title = {End-to-End Recovery of Human Shape and Pose},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}