Circle loss: A unified perspective of pair similarity optimization Y Sun, C Cheng, Y Zhang, C Zhang, L Zheng, Z Wang, Y Wei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1111 | 2020 |
DeepEMD: Few-shot image classification with differentiable earth mover's distance and structured classifiers C Zhang, Y Cai, G Lin, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 953 | 2020 |
Canet: Class-agnostic segmentation networks with iterative refinement and attentive few-shot learning C Zhang, G Lin, F Liu, R Yao, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 700 | 2019 |
Alignedreid: Surpassing human-level performance in person re-identification X Zhang, H Luo, X Fan, W Xiang, Y Sun, Q Xiao, W Jiang, C Zhang, J Sun arXiv preprint arXiv:1711.08184, 2017 | 669 | 2017 |
Fsce: Few-shot object detection via contrastive proposal encoding B Sun, B Li, S Cai, Y Yuan, C Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 483 | 2021 |
Perceive where to focus: Learning visibility-aware part-level features for partial person re-identification Y Sun, Q Xu, Y Li, C Zhang, Y Li, S Wang, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 443 | 2019 |
Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation C Zhang, G Lin, F Liu, J Guo, Q Wu, R Yao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 363 | 2019 |
Few-shot incremental learning with continually evolved classifiers C Zhang, N Song, G Lin, Y Zheng, P Pan, Y Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 362 | 2021 |
Defrcn: Decoupled faster r-cnn for few-shot object detection L Qiao, Y Zhao, Z Li, X Qiu, J Wu, C Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 308 | 2021 |
Conditional gaussian distribution learning for open set recognition X Sun, Z Yang, C Zhang, KV Ling, G Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 307 | 2020 |
Alignedreid++: Dynamically matching local information for person re-identification H Luo, W Jiang, X Zhang, X Fan, J Qian, C Zhang Pattern Recognition 94, 53-61, 2019 | 269 | 2019 |
End-to-end human object interaction detection with hoi transformer C Zou, B Wang, Y Hu, J Liu, Q Wu, Y Zhao, B Li, C Zhang, C Zhang, Y Wei, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 261 | 2021 |
Crnet: Cross-reference networks for few-shot segmentation W Liu, C Zhang, G Lin, F Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 257 | 2020 |
Vehicle re-identification with viewpoint-aware metric learning R Chu, Y Sun, Y Li, Z Liu, C Zhang, Y Wei Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 243 | 2019 |
Iterative distance-aware similarity matrix convolution with mutual-supervised point elimination for efficient point cloud registration J Li, C Zhang, Z Xu, H Zhou, C Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 222 | 2020 |
Margin sample mining loss: A deep learning based method for person re-identification Q Xiao, H Luo, C Zhang arXiv preprint arXiv:1710.00478, 2017 | 197 | 2017 |
Re-id driven localization refinement for person search C Han, J Ye, Y Zhong, X Tan, C Zhang, C Gao, N Sang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 155 | 2019 |
Appagent: Multimodal agents as smartphone users C Zhang, Z Yang, J Liu, Y Han, X Chen, Z Huang, B Fu, G Yu arXiv preprint arXiv:2312.13771, 2023 | 143 | 2023 |
Deepemd: Differentiable earth mover's distance for few-shot learning C Zhang, Y Cai, G Lin, C Shen IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5632-5648, 2022 | 142 | 2022 |
Metric3d: Towards zero-shot metric 3d prediction from a single image W Yin, C Zhang, H Chen, Z Cai, G Yu, K Wang, X Chen, C Shen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 139 | 2023 |