| Learning to adapt structured output space for semantic segmentation YH Tsai, WC Hung, S Schulter, K Sohn, MH Yang, M Chandraker CVPR 2018, 2018 | 1760 | 2018 |
| Adversarial Learning for Semi-Supervised Semantic Segmentation WC Hung, YH Tsai, YT Liou, YY Lin, MH Yang BMVC 2018, 2018 | 699 | 2018 |
| Progressive domain adaptation for object detection HK Hsu, CH Yao, YH Tsai, WC Hung, HY Tseng, M Singh, MH Yang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 382 | 2020 |
| Fast and accurate online video object segmentation via tracking parts J Cheng, YH Tsai, WC Hung, S Wang, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 321 | 2018 |
| Weakly-supervised semantic segmentation via sub-category exploration YT Chang, Q Wang, WC Hung, R Piramuthu, YH Tsai, MH Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 319 | 2020 |
| SCOPS: Self-supervised co-part segmentation WC Hung, V Jampani, S Liu, P Molchanov, MH Yang, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 155 | 2019 |
| Unsupervised visual representation learning by graph-based consistent constraints D Li, WC Hung, JB Huang, S Wang, N Ahuja, MH Yang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 76 | 2016 |
| Scene Parsing with Global Context Embedding WC Hung, YH Tsai, X Shen, Z Lin, K Sunkavalli, X Lu, MH Yang IEEE International Conference on Computer Vision, 2017, 2017 | 71 | 2017 |
| Incremental false negative detection for contrastive learning TS Chen, WC Hung, HY Tseng, SY Chien, MH Yang arXiv preprint arXiv:2106.03719, 2021 | 64 | 2021 |
| Mixup-cam: Weakly-supervised semantic segmentation via uncertainty regularization YT Chang, Q Wang, WC Hung, R Piramuthu, YH Tsai, MH Yang arXiv preprint arXiv:2008.01201, 2020 | 42 | 2020 |
| Simple training strategies and model scaling for object detection X Du, B Zoph, WC Hung, TY Lin arXiv preprint arXiv:2107.00057, 2021 | 41 | 2021 |
| Lassie: Learning articulated shapes from sparse image ensemble via 3d part discovery CH Yao, WC Hung, Y Li, M Rubinstein, MH Yang, V Jampani Advances in Neural Information Processing Systems 35, 15296-15308, 2022 | 38 | 2022 |
| From image collections to point clouds with self-supervised shape and pose networks KL Navaneet, A Mathew, S Kashyap, WC Hung, V Jampani, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 34 | 2020 |
| Let-3d-ap: Longitudinal error tolerant 3d average precision for camera-only 3d detection WC Hung, V Casser, H Kretzschmar, JJ Hwang, D Anguelov 2024 IEEE International Conference on Robotics and Automation (ICRA), 8272-8279, 2024 | 22 | 2024 |
| Learning to segment instances in videos with spatial propagation network J Cheng, S Liu, YH Tsai, WC Hung, S De Mello, J Gu, J Kautz, S Wang, ... arXiv preprint arXiv:1709.04609, 2017 | 21 | 2017 |
| Hi-lassie: High-fidelity articulated shape and skeleton discovery from sparse image ensemble CH Yao, WC Hung, Y Li, M Rubinstein, MH Yang, V Jampani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Semi-supervised multi-task learning for semantics and depth Y Wang, YH Tsai, WC Hung, W Ding, S Liu, MH Yang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 19 | 2022 |
| Artic3d: Learning robust articulated 3d shapes from noisy web image collections CH Yao, A Raj, WC Hung, M Rubinstein, Y Li, MH Yang, V Jampani Advances in Neural Information Processing Systems 36, 2024 | 18 | 2024 |
| Discovering 3d parts from image collections CH Yao, WC Hung, V Jampani, MH Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 17 | 2021 |
| Soda: Multi-object tracking with soft data association WC Hung, H Kretzschmar, TY Lin, Y Chai, R Yu, MH Yang, D Anguelov arXiv preprint arXiv:2008.07725, 2020 | 17 | 2020 |
Ming-Hsuan YangUniversity of California at Merced; Google DeepMindVerified email at ucmerced.edu
