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Chi Zhang
Chi Zhang
在 rit.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
8932020
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
7722020
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
6252017
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
5592019
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
3982019
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
3292021
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
2922019
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
2382020
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
2372021
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
2372019
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
2112020
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
2072019
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
2002021
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
1942021
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
1832017
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
1602020
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
1272019
Scpnet: Spatial-channel parallelism network for joint holistic and partial person re-identification
X Fan, H Luo, X Zhang, L He, C Zhang, W Jiang
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
1192019
Stnreid: Deep convolutional networks with pairwise spatial transformer networks for partial person re-identification
H Luo, W Jiang, X Fan, C Zhang
IEEE Transactions on Multimedia 22 (11), 2905-2913, 2020
1102020
Multi-target, multi-camera tracking by hierarchical clustering: Recent progress on dukemtmc project
Z Zhang, J Wu, X Zhang, C Zhang
arXiv preprint arXiv:1712.09531, 2017
982017
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