When Does Self-Supervision Improve Few-shot Learning? JC Su, S Maji, B Hariharan European Conference on Computer Vision (ECCV), 2020 | 211 | 2020 |
Active Adversarial Domain Adaptation JC Su, YH Tsai, K Sohn, B Liu, S Maji, M Chandraker IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 | 157 | 2020 |
A Deeper Look at 3D Shape Classifiers JC Su, M Gadelha, R Wang, S Maji Second Workshop on 3D Reconstruction Meets Semantics, ECCV 2018, 2018 | 141 | 2018 |
Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras M Tao, JC Su, TC Wang, J Malik, R Ramamoorthi IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1155 …, 2016 | 96 | 2016 |
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification JC Su, Z Cheng, S Maji IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 55 | 2021 |
Adapting Models to Signal Degradation Using Distillation JC Su, S Maji British Machine Vision Conference (BMVC), 2017 | 54* | 2017 |
Tell me what happened: Unifying text-guided video completion via multimodal masked video generation TJ Fu, L Yu, N Zhang, CY Fu, JC Su, WY Wang, S Bell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop JC Su, S Maji arXiv preprint arXiv:2106.01364, 2021 | 17 | 2021 |
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 workshop JC Su, S Maji arXiv preprint arXiv:2103.06937, 2021 | 17 | 2021 |
Reasoning about Fine-Grained Attribute Phrases Using Reference Games JC Su, C Wu, H Jiang, S Maji Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2017 | 16 | 2017 |
On equivariant and invariant learning of object landmark representations Z Cheng, JC Su, S Maji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
Semi-Supervised Learning with Taxonomic Labels JC Su, S Maji British Machine Vision Conference (BMVC), 2021 | 9 | 2021 |
Ropaws: Robust semi-supervised representation learning from uncurated data S Mo, JC Su, CY Ma, M Assran, I Misra, L Yu, S Bell arXiv preprint arXiv:2302.14483, 2023 | 8 | 2023 |
Unsupervised Discovery of Object Landmarks via Contrastive Learning Z Cheng, JC Su, S Maji | 4 | 2020 |
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving M Liang, JC Su, S Schulter, S Garg, S Zhao, Y Wu, M Chandraker IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 1 | 2024 |
Human detection in scenes YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent 11,610,420, 2023 | 1 | 2023 |
Segmentation to determine lane markings and road signs YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent 11,604,945, 2023 | | 2023 |
Obstacle detection in road scenes YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent 11,594,041, 2023 | | 2023 |
Construction zone segmentation YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent 11,580,334, 2023 | | 2023 |
Domain adaptation for instance detection and segmentation YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent 10,915,792, 2021 | | 2021 |