| Re-identification with consistent attentive siamese networks M Zheng, S Karanam, Z Wu, RJ Radke Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 320 | 2019 |
| Towards visually explaining variational autoencoders W Liu, R Li, M Zheng, S Karanam, Z Wu, B Bhanu, RJ Radke, O Camps Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 278 | 2020 |
| Spatio-temporal representation factorization for video-based person re-identification A Aich, M Zheng, S Karanam, T Chen, AK Roy-Chowdhury, Z Wu Proceedings of the IEEE/CVF international conference on computer vision, 152-162, 2021 | 87 | 2021 |
| The deep regression bayesian network and its applications: Probabilistic deep learning for computer vision S Nie, M Zheng, Q Ji IEEE Signal Processing Magazine 35 (1), 101-111, 2018 | 81 | 2018 |
| Pseudoclick: Interactive image segmentation with click imitation Q Liu, M Zheng, B Planche, S Karanam, T Chen, M Niethammer, Z Wu European Conference on Computer Vision, 728-745, 2022 | 58 | 2022 |
| A peek into the reasoning of neural networks: Interpreting with structural visual concepts Y Ge, Y Xiao, Z Xu, M Zheng, S Karanam, T Chen, L Itti, Z Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 55 | 2021 |
| uRP: An integrated research platform for one-stop analysis of medical images J Wu, Y Xia, X Wang, Y Wei, A Liu, A Innanje, M Zheng, L Chen, J Shi, ... Frontiers in radiology 3, 1153784, 2023 | 38 | 2023 |
| Pref: Predictability regularized neural motion fields L Song, X Gong, B Planche, M Zheng, D Doermann, J Yuan, T Chen, ... European Conference on Computer Vision, 664-681, 2022 | 35 | 2022 |
| Rpifield: A new dataset for temporally evaluating person re-identification M Zheng, S Karanam, RJ Radke Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 30 | 2018 |
| Cmda: Cross-modality domain adaptation for nighttime semantic segmentation R Xia, C Zhao, M Zheng, Z Wu, Q Sun, Y Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 28 | 2023 |
| Federated learning with privacy-preserving ensemble attention distillation X Gong, L Song, R Vedula, A Sharma, M Zheng, B Planche, A Innanje, ... IEEE transactions on medical imaging 42 (7), 2057-2067, 2022 | 28 | 2022 |
| Computer Vision–ECCV 2022 Q Liu, M Zheng, B Planche Lecture Notes in Computer Science, 70-89, 2022 | 20 | 2022 |
| Visual Similarity Attention M Zheng, S Karanam, T Chen, RJ Radke, Z Wu IJCAI 2022, 2019 | 17* | 2019 |
| Progressive multi-view human mesh recovery with self-supervision X Gong, L Song, M Zheng, B Planche, T Chen, J Yuan, D Doermann, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 676-684, 2023 | 12 | 2023 |
| Self-supervised human mesh recovery with cross-representation alignment X Gong, M Zheng, B Planche, S Karanam, T Chen, D Doermann, Z Wu European Conference on Computer Vision, 212-230, 2022 | 12 | 2022 |
| Everybody Is Unique: Towards Unbiased Human Mesh Recovery R Li, M Zheng, S Karanam, T Chen, Z Wu BMVC, 2021 | 11 | 2021 |
| SMPL-A: Modeling person-specific deformable anatomy H Guo, B Planche, M Zheng, S Karanam, T Chen, Z Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| Disguise without disruption: Utility-preserving face de-identification Z Cai, Z Gao, B Planche, M Zheng, T Chen, MS Asif, Z Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 918-926, 2024 | 7 | 2024 |
| Self-supervised 3d patient modeling with multi-modal attentive fusion M Zheng, B Planche, X Gong, F Yang, T Chen, Z Wu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Measuring the temporal behavior of real-world person re-identification M Zheng, S Karanam, RJ Radke arXiv preprint arXiv:1808.05499, 2018 | 5 | 2018 |