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Chi Su
Chi Su
SmartMore Co., Ltd
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Year
Mars: A video benchmark for large-scale person re-identification
L Zheng, Z Bie, Y Sun, J Wang, C Su, S Wang, Q Tian
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
11252016
Pose-driven deep convolutional model for person re-identification
C Su, J Li, S Zhang, J Xing, W Gao, Q Tian
Proceedings of the IEEE international conference on computer vision, 3960-3969, 2017
9282017
Deep attributes driven multi-camera person re-identification
C Su, S Zhang, J Xing, W Gao, Q Tian
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
4762016
Gradually vanishing bridge for adversarial domain adaptation
S Cui, S Wang, J Zhuo, C Su, Q Huang, Q Tian
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2862020
Label decoupling framework for salient object detection
J Wei, S Wang, Z Wu, C Su, Q Huang, Q Tian
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2852020
Sixray: A large-scale security inspection x-ray benchmark for prohibited item discovery in overlapping images
C Miao, L Xie, F Wan, C Su, H Liu, J Jiao, Q Ye
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2502019
Multi-task learning with low rank attribute embedding for person re-identification
C Su, F Yang, S Zhang, Q Tian, LS Davis, W Gao
Proceedings of the IEEE international conference on computer vision, 3739-3747, 2015
1922015
Snapshot distillation: Teacher-student optimization in one generation
C Yang, L Xie, C Su, AL Yuille
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1912019
Multi-task learning with low rank attribute embedding for multi-camera person re-identification
C Su, F Yang, S Zhang, Q Tian, LS Davis, W Gao
IEEE transactions on pattern analysis and machine intelligence 40 (5), 1167-1181, 2017
1162017
Iterative reorganization with weak spatial constraints: Solving arbitrary jigsaw puzzles for unsupervised representation learning
C Wei, L Xie, X Ren, Y Xia, C Su, J Liu, Q Tian, AL Yuille
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1082019
Multi-type attributes driven multi-camera person re-identification
C Su, S Zhang, J Xing, W Gao, Q Tian
Pattern Recognition 75, 77-89, 2018
902018
Greedy gradient ensemble for robust visual question answering
X Han, S Wang, C Su, Q Huang, Q Tian
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
592021
Correlating edge, pose with parsing
Z Zhang, C Su, L Zheng, X Xie
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
562020
Attributes driven tracklet-to-tracklet person re-identification using latent prototypes space mapping
C Su, S Zhang, F Yang, G Zhang, Q Tian, W Gao, LS Davis
Pattern Recognition 66, 4-15, 2017
472017
Self-regulated learning for egocentric video activity anticipation
Z Qi, S Wang, C Su, L Su, Q Huang, Q Tian
IEEE transactions on pattern analysis and machine intelligence 45 (6), 6715-6730, 2021
442021
Self-attention neural architecture search for semantic image segmentation
Z Fan, G Hu, X Sun, G Wang, J Dong, C Su
Knowledge-Based Systems 239, 107968, 2022
362022
Deep cost-sensitive and order-preserving feature learning for cross-population age estimation
K Li, J Xing, C Su, W Hu, Y Zhang, S Maybank
Proceedings of the IEEE conference on computer vision and pattern …, 2018
362018
Neural architecture search for joint human parsing and pose estimation
D Zeng, Y Huang, Q Bao, J Zhang, C Su, W Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
222021
Toward joint thing-and-stuff mining for weakly supervised panoptic segmentation
Y Shen, L Cao, Z Chen, F Lian, B Zhang, C Su, Y Wu, F Huang, R Ji
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
Parallel detection-and-segmentation learning for weakly supervised instance segmentation
Y Shen, L Cao, Z Chen, B Zhang, C Su, Y Wu, F Huang, R Ji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
122021
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