| When Does Self-supervision Improve Few-shot Learning? JC Su, S Maji, B Hariharan European Conference on Computer Vision (ECCV), 2020 | 76* | 2020 |
| 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 | 68 | 2016 |
| 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 | 64 | 2018 |
| Adapting models to signal degradation using distillation JC Su, S Maji British Machine Vision Conference (BMVC), 2017 | 43* | 2017 |
| 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 | 42 | 2020 |
| 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 |
| 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 | 6 | 2021 |
| The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop JC Su, S Maji arXiv preprint arXiv:2106.01364, 2021 | 4 | 2021 |
| The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop JC Su, S Maji arXiv preprint arXiv:2103.06937, 2021 | 4 | 2021 |
| Unsupervised discovery of object landmarks via contrastive learning Z Cheng, JC Su, S Maji arXiv e-prints, arXiv: 2006.14787, 2020 | 4 | 2020 |
| 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 | 1 | 2021 |
| Semi-Supervised Learning with Taxonomic Labels JC Su, S Maji British Machine Vision Conference (BMVC), 2021 | | 2021 |
| Human detection in scenes YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent App. 17/128,565, 2021 | | 2021 |
| Segmentation to determine lane markings and road signs YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent App. 17/128,535, 2021 | | 2021 |
| Construction zone segmentation YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent App. 17/128,612, 2021 | | 2021 |
| Obstacle detection in road scenes YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent App. 17/128,492, 2021 | | 2021 |
| Domain adaptation for instance detection and segmentation YH Tsai, K Sohn, B Liu, M Chandraker, JC Su US Patent 10,915,792, 2021 | | 2021 |
| Learning from Limited Labeled Data for Visual Recognition JC Su | | 2021 |
| On Equivariant and Invariant Learning of Object Landmark Representations—Supplementary Material Z Cheng, JC Su, S Maji | | |
| A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification—Supplementary Material JC Su, Z Cheng, S Maji | | |
Subhransu MajiUniversity of Massachusetts, AmherstVerified email at cs.umass.edu
