| 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 | 597 | 2020 |
| 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 | 543 | 2018 |
| Learning spatial regularization with image-level supervisions for multi-label image classification F Zhu, H Li, W Ouyang, N Yu, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 428 | 2017 |
| Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic K Chen, Z Zhang, W Zeng, R Zhang, F Zhu, R Zhao arXiv preprint arXiv:2306.15195, 2023 | 341 | 2023 |
| 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 | 146 | 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 | 132 | 2022 |
| Temporal ROI Align for Video Object Recognition T Gong, K Chen, X Wang, Q Chu, F Zhu, D Lin, N Yu, H Feng Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1442-1450, 2021 | 96 | 2021 |
| Better aligning text-to-image models with human preference X Wu, K Sun, F Zhu, R Zhao, H Li arXiv preprint arXiv:2303.14420 1 (3), 2023 | 82 | 2023 |
| CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching X Wu, F Zhu, R Zhao, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 73 | 2023 |
| Crowd tracking with dynamic evolution of group structures F Zhu, X Wang, N Yu Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 67 | 2014 |
| Structured domain adaptation with online relation regularization for unsupervised person re-id Y Ge, F Zhu, D Chen, R Zhao, X Wang, H Li IEEE transactions on neural networks and learning systems 35 (1), 258-271, 2022 | 64 | 2022 |
| Progressive Correspondence Pruning by Consensus Learning C Zhao, Y Ge, F Zhu, R Zhao, H Li, M Salzmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 62 | 2021 |
| Revisiting the transferability of supervised pretraining: an mlp perspective Y Wang, S Tang, F Zhu, L Bai, R Zhao, D Qi, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
| Human Preference Score: Better Aligning Text-to-Image Models with Human Preference X Wu, K Sun, F Zhu, R Zhao, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 49 | 2023 |
| Dasot: A unified framework integrating data association and single object tracking for online multi-object tracking Q Chu, W Ouyang, B Liu, F Zhu, N Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10672 …, 2020 | 45 | 2020 |
| UniHCP: A Unified Model for Human-Centric Perceptions Y Ci, Y Wang, M Chen, S Tang, L Bai, F Zhu, R Zhao, F Yu, D Qi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning S Zhang, F Zhu, J Yan, R Zhao, X Yang International Conference on Learning Representations, 2021 | 41 | 2021 |
| Consistent matching based on boosted salience channels for group re-identification F Zhu, Q Chu, N Yu 2016 IEEE International Conference on Image Processing (ICIP), 4279-4283, 2016 | 34 | 2016 |
| Self-distillation with batch knowledge ensembling improves imagenet classification Y Ge, X Zhang, CL Choi, KC Cheung, P Zhao, F Zhu, X Wang, R Zhao, ... arXiv preprint arXiv:2104.13298, 2021 | 32 | 2021 |
| Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification X Li, Y Lu, B Liu, Y Liu, G Yin, Q Chu, J Huang, F Zhu, R Zhao, N Yu European Conference on Computer Vision, 381-398, 2022 | 31 | 2022 |
Rui ZhaoSenseTime Group Limited在 sensetime.com 的电子邮件经过验证
