ICCV 2023 Open Access Repository

Representation learning with very limited images: the potential of self-, synthetic- and formula-supervision

Image Guided Inpainting with Parameter Efficient Learning: Sangbeom Lim,

Seungryong Kim; [pdf]
[bibtex]
@InProceedings{Lim_2023_ICCV, author = {Lim, Sangbeom and Kim, Seungryong}, title = {Image Guided Inpainting with Parameter Efficient Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1103-1111} }
Augmenting Features via Contrastive Learning-Based Generative Model for Long-Tailed Classification: Minho Park,

Hyung-Il Kim,

Hwa Jeon Song,

Dong-oh Kang; [pdf]
[bibtex]
@InProceedings{Park_2023_ICCV, author = {Park, Minho and Kim, Hyung-Il and Song, Hwa Jeon and Kang, Dong-oh}, title = {Augmenting Features via Contrastive Learning-Based Generative Model for Long-Tailed Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1010-1019} }
G2L: A High-Dimensional Geometric Approach for Automatic Generation of Highly Accurate Pseudo-Labels: John R. Kender,

Parijat Dube,

Zhengyang Han,

Bishwaranjan Bhattacharjee; [pdf]
[bibtex]
@InProceedings{Kender_2023_ICCV, author = {Kender, John R. and Dube, Parijat and Han, Zhengyang and Bhattacharjee, Bishwaranjan}, title = {G2L: A High-Dimensional Geometric Approach for Automatic Generation of Highly Accurate Pseudo-Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1093-1102} }
Self-Supervised Hypergraphs for Learning Multiple World Interpretations: Alina Marcu,

Mihai Pirvu,

Dragos Costea,

Emanuela Haller,

Emil Slusanschi,

Ahmed Nabil Belbachir,

Rahul Sukthankar,

Marius Leordeanu; [pdf] [arXiv]
[bibtex]
@InProceedings{Marcu_2023_ICCV, author = {Marcu, Alina and Pirvu, Mihai and Costea, Dragos and Haller, Emanuela and Slusanschi, Emil and Belbachir, Ahmed Nabil and Sukthankar, Rahul and Leordeanu, Marius}, title = {Self-Supervised Hypergraphs for Learning Multiple World Interpretations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {983-992} }
Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects: Kamil Kwarciak,

Marek Wodziński; [pdf]
[bibtex]
@InProceedings{Kwarciak_2023_ICCV, author = {Kwarciak, Kamil and Wodzi\'nski, Marek}, title = {Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1066-1074} }
360deg from a Single Camera: A Few-Shot Approach for LiDAR Segmentation: Laurenz Reichardt,

Nikolas Ebert,

Oliver Wasenmüller; [pdf]
[bibtex]
@InProceedings{Reichardt_2023_ICCV, author = {Reichardt, Laurenz and Ebert, Nikolas and Wasenm\"uller, Oliver}, title = {360deg from a Single Camera: A Few-Shot Approach for LiDAR Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1075-1083} }
Adaptive Self-Training for Object Detection: Renaud Vandeghen,

Gilles Louppe,

Marc Van Droogenbroeck; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Vandeghen_2023_ICCV, author = {Vandeghen, Renaud and Louppe, Gilles and Van Droogenbroeck, Marc}, title = {Adaptive Self-Training for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {914-923} }
FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data: Athanasios Psaltis,

Anestis Kastellos,

Charalampos Z. Patrikakis,

Petros Daras; [pdf]
[bibtex]
@InProceedings{Psaltis_2023_ICCV, author = {Psaltis, Athanasios and Kastellos, Anestis and Patrikakis, Charalampos Z. and Daras, Petros}, title = {FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1039-1048} }
A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior: Jose Sosa,

David Hogg; [pdf] [arXiv]
[bibtex]
@InProceedings{Sosa_2023_ICCV, author = {Sosa, Jose and Hogg, David}, title = {A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1049-1056} }
Boosting Semi-Supervised Learning by Bridging high and low-Confidence Predictions: Khanh-Binh Nguyen,

Joon-Sung Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nguyen_2023_ICCV, author = {Nguyen, Khanh-Binh and Yang, Joon-Sung}, title = {Boosting Semi-Supervised Learning by Bridging high and low-Confidence Predictions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1028-1038} }
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation: Youssef Dawoud,

Gustavo Carneiro,

Vasileios Belagiannis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dawoud_2023_ICCV, author = {Dawoud, Youssef and Carneiro, Gustavo and Belagiannis, Vasileios}, title = {SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {973-982} }
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection: Tianpeng Bao,

Jiadong Chen,

Wei Li,

Xiang Wang,

Jingjing Fei,

Liwei Wu,

Rui Zhao,

Ye Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bao_2023_ICCV, author = {Bao, Tianpeng and Chen, Jiadong and Li, Wei and Wang, Xiang and Fei, Jingjing and Wu, Liwei and Zhao, Rui and Zheng, Ye}, title = {MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {993-1002} }
Enhancing Classification Accuracy on Limited Data via Unconditional GAN: Chunsan Hong,

Byunghee Cha,

Bohyung Kim,

Tae-Hyun Oh; [pdf]
[bibtex]
@InProceedings{Hong_2023_ICCV, author = {Hong, Chunsan and Cha, Byunghee and Kim, Bohyung and Oh, Tae-Hyun}, title = {Enhancing Classification Accuracy on Limited Data via Unconditional GAN}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1057-1065} }
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection: Hoàng-Ân Lê,

Minh-Tan Pham; [pdf]
[bibtex]
@InProceedings{Le_2023_ICCV, author = {L\^e, Ho\`ang-\^An and Pham, Minh-Tan}, title = {Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1003-1009} }
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition: Lucian Bicsi,

Bogdan Alexe,

Radu Tudor Ionescu,

Marius Leordeanu; [pdf] [arXiv]
[bibtex]
@InProceedings{Bicsi_2023_ICCV, author = {Bicsi, Lucian and Alexe, Bogdan and Ionescu, Radu Tudor and Leordeanu, Marius}, title = {JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {953-962} }
Semantic RGB-D Image Synthesis: Shijie Li,

Rong Li,

Juergen Gall; [pdf]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Shijie and Li, Rong and Gall, Juergen}, title = {Semantic RGB-D Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {944-952} }
Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation: Aleksandar Shtedritski,

Andrea Vedaldi,

Christian Rupprecht; [pdf] [supp]
[bibtex]
@InProceedings{Shtedritski_2023_ICCV, author = {Shtedritski, Aleksandar and Vedaldi, Andrea and Rupprecht, Christian}, title = {Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {933-943} }
Guiding Video Prediction with Explicit Procedural Knowledge: Patrick Takenaka,

Johannes Maucher,

Marco F. Huber; [pdf]
[bibtex]
@InProceedings{Takenaka_2023_ICCV, author = {Takenaka, Patrick and Maucher, Johannes and Huber, Marco F.}, title = {Guiding Video Prediction with Explicit Procedural Knowledge}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1084-1092} }
Frequency-Aware Self-Supervised Long-Tailed Learning: Ci-Siang Lin,

Min-Hung Chen,

Yu-Chiang Frank Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2023_ICCV, author = {Lin, Ci-Siang and Chen, Min-Hung and Wang, Yu-Chiang Frank}, title = {Frequency-Aware Self-Supervised Long-Tailed Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {963-972} }
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection: Manish Sharma,

Moitreya Chatterjee,

Kuan-Chuan Peng,

Suhas Lohit,

Michael Jones; [pdf] [arXiv]
[bibtex]
@InProceedings{Sharma_2023_ICCV, author = {Sharma, Manish and Chatterjee, Moitreya and Peng, Kuan-Chuan and Lohit, Suhas and Jones, Michael}, title = {Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {924-932} }