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 | 189 | 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 | 93 | 2020 |
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 | 55 | 2018 |
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 | 19 | 2021 |
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 | 19 | 2018 |
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 | 7 | 2021 |
Towards Visually Explaining Variational Autoencoders. In 2020 IEEE W Liu, R Li, M Zheng, S Karanam, Z Wu, B Bhanu, RJ Radke, O Camps CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8639-8648, 2020 | 5 | 2020 |
Measuring the temporal behavior of real-world person re-identification M Zheng, S Karanam, RJ Radke arXiv preprint arXiv:1808.05499, 2018 | 5 | 2018 |
Towards visually explaining similarity models M Zheng, S Karanam, T Chen, RJ Radke, Z Wu arXiv preprint arXiv:2008.06035, 2020 | 3 | 2020 |
Learning similarity attention M Zheng, S Karanam, T Chen, RJ Radke, Z Wu arXiv preprint arXiv:1911.07381, 2019 | 3 | 2019 |
Towards Automated Spatio-Temporal Trajectory Recovery in Wide-Area Camera Networks M Zheng, S Karanam, RJ Radke IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (1), 59-71, 2020 | 1 | 2020 |
PseudoClick: Interactive Image Segmentation with Click Imitation Q Liu, M Zheng, B Planche, S Karanam, T Chen, M Niethammer, Z Wu arXiv preprint arXiv:2207.05282, 2022 | | 2022 |
Automating a medical environment Z Wu, S Karanam, M Zheng, A Sharma, R Li US Patent App. 17/081,381, 2022 | | 2022 |
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 | | 2022 |
Multi-motion and Appearance Self-Supervised Moving Object Detection F Yang, S Karanam, M Zheng, T Chen, H Ling, Z Wu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | | 2022 |
Everybody Is Unique: Towards Unbiased Human Mesh Recovery R Li, M Zheng, S Karanam, T Chen, Z Wu BMVC, 2021 | | 2021 |
Abnormality detection within a defined area A Sharma, M Zheng, S Karanam, Z Wu, A Innanje, T Chen US Patent App. 16/802,989, 2021 | | 2021 |
Visual Similarity Attention M Zheng, S Karanam, T Chen, RJ Radke, Z Wu arXiv preprint arXiv:1911.07381, 2019 | | 2019 |
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification (Supplementary Material) A Aich, M Zheng, S Karanam, T Chen, AK Roy-Chowdhury, Z Wu MARS 17, 6, 1812 | | 1812 |
SMPL-A: Modeling Person-Specific Deformable Anatomy (Supplementary Material) H Guo, B Planche, M Zheng, S Karanam, T Chen, Z Wu | | |