| DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification W Li, R Zhao, T Xiao, X Wang IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 2014 | 3117 | 2014 |
| Unsupervised Salience Learning for Person Re-identification R Zhao, W Ouyang, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 1355 | 2013 |
| Saliency Detection by Multi-Context Deep Learning R Zhao, W Ouyang, H Li, X Wang IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 1265-1274, 2015 | 1208 | 2015 |
| Human Reidentification with Transferred Metric Learning W Li, R Zhao, X Wang Asian Conference on Computer Vision (ACCV), 2012 | 809 | 2012 |
| Learning Midlevel Filters for Person Reidentification R Zhao, W Ouyang, X Wang IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 2014 | 678 | 2014 |
| Self-paced contrastive learning with hybrid memory for domain adaptive object re-id Y Ge, F Zhu, D Chen, R Zhao Advances in neural information processing systems 33, 11309-11321, 2020 | 612 | 2020 |
| Person Re-Identification by Salience Matching R Zhao, W Ouyang, X Wang IEEE International Conference on Computer Vision (ICCV), 2528-2535, 2013 | 608 | 2013 |
| Attention-aware compositional network for person re-identification J Xu, R Zhao, F Zhu, H Wang, W Ouyang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 544 | 2018 |
| Semi-supervised semantic segmentation using unreliable pseudo-labels Y Wang, H Wang, Y Shen, J Fei, W Li, G Jin, L Wu, R Zhao, X Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 355 | 2022 |
| Adacos: Adaptively scaling cosine logits for effectively learning deep face representations X Zhang, R Zhao, Y Qiao, X Wang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 273 | 2019 |
| Person Re-identification by Saliency Learning R Zhao, W Ouyang, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2014 | 254 | 2014 |
| Mst: Masked self-supervised transformer for visual representation Z Li, Z Chen, F Yang, W Li, Y Zhu, C Zhao, R Deng, L Wu, R Zhao, M Tang, ... Advances in Neural Information Processing Systems 34, 13165-13176, 2021 | 157 | 2021 |
| Self-supervising fine-grained region similarities for large-scale image localization Y Ge, H Wang, F Zhu, R Zhao, H Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 149 | 2020 |
| Feature erasing and diffusion network for occluded person re-identification Z Wang, F Zhu, S Tang, R Zhao, L He, J Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 135 | 2022 |
| Highly efficient forward and backward propagation of convolutional neural networks for pixelwise classification H Li, R Zhao, X Wang arXiv preprint arXiv:1412.4526, 2014 | 117 | 2014 |
| Learning to cluster faces via confidence and connectivity estimation L Yang, D Chen, X Zhan, R Zhao, CC Loy, D Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 111 | 2020 |
| Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis X Wu, Y Hao, K Sun, Y Chen, F Zhu, R Zhao, H Li arXiv preprint arXiv:2306.09341, 2023 | 97 | 2023 |
| Cocas: A large-scale clothes changing person dataset for re-identification S Yu, S Li, D Chen, R Zhao, J Yan, Y Qiao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 93 | 2020 |
| Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models Y Gu, X Wang, JZ Wu, Y Shi, Y Chen, Z Fan, W Xiao, R Zhao, S Chang, ... Advances in Neural Information Processing Systems 36, 2024 | 91 | 2024 |
| Tptu: Task planning and tool usage of large language model-based ai agents J Ruan, Y Chen, B Zhang, Z Xu, T Bao, H Mao, Z Li, X Zeng, R Zhao NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023 | 89 | 2023 |
Feng Zhu (朱烽)SenseTime ResearchVerified email at sensetime.com
