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yaowei wang
yaowei wang
Pengcheng Laboratory
Verified email at bit.edu.cn
Title
Cited by
Cited by
Year
Deep relative distance learning: Tell the difference between similar vehicles
H Liu, Y Tian, Y Wang, L Pang, T Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
7882016
Conformer: Local features coupling global representations for visual recognition
Z Peng, W Huang, S Gu, L Xie, Y Wang, J Jiao, Q Ye
Proceedings of the IEEE/CVF international conference on computer vision, 367-376, 2021
5052021
Unsupervised cross-dataset transfer learning for person re-identification
P Peng, T Xiang, Y Wang, M Pontil, S Gong, T Huang, Y Tian
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4372016
Deep transfer learning for person re-identification
H Chen, Y Wang, Y Shi, K Yan, M Geng, Y Tian, T Xiang
2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-5, 2018
425*2018
Sequential deep trajectory descriptor for action recognition with three-stream CNN
Y Shi, Y Tian, Y Wang, T Huang
IEEE Transactions on Multimedia 19 (7), 1510-1520, 2017
2292017
Transductive episodic-wise adaptive metric for few-shot learning
L Qiao, Y Shi, J Li, Y Wang, T Huang, Y Tian
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2082019
PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
W Zeng, X Ren, T Su, H Wang, Y Liao, Z Wang, X Jiang, ZZ Yang, K Wang, ...
arXiv preprint arXiv:2104.12369, 2021
1772021
Exploiting multi-grain ranking constraints for precisely searching visually-similar vehicles
K Yan, Y Tian, Y Wang, W Zeng, T Huang
Proceedings of the IEEE international conference on computer vision, 562-570, 2017
1432017
Boosting crowd counting via multifaceted attention
H Lin, Z Ma, R Ji, Y Wang, X Hong
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1152022
Joint semantic and latent attribute modelling for cross-class transfer learning
P Peng, Y Tian, T Xiang, Y Wang, M Pontil, T Huang
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1625-1638, 2017
1072017
Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark
X Wang, X Shu, Z Zhang, B Jiang, Y Wang, Y Tian, F Wu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1052021
Spikformer: When spiking neural network meets transformer
Z Zhou, Y Zhu, C He, Y Wang, S Yan, Y Tian, L Yuan
arXiv preprint arXiv:2209.15425, 2022
922022
Aaformer: Auto-aligned transformer for person re-identification
K Zhu, H Guo, S Zhang, Y Wang, J Liu, J Wang, M Tang
IEEE Transactions on Neural Networks and Learning Systems, 2023
882023
Cnn vs. sift for image retrieval: Alternative or complementary?
K Yan, Y Wang, D Liang, T Huang, Y Tian
Proceedings of the 24th ACM international conference on Multimedia, 407-411, 2016
862016
Robust multiple cameras pedestrian detection with multi-view Bayesian network
P Peng, Y Tian, Y Wang, J Li, T Huang
Pattern Recognition 48 (5), 1760-1772, 2015
822015
Large-scale multi-modal pre-trained models: A comprehensive survey
X Wang, G Chen, G Qian, P Gao, XY Wei, Y Wang, Y Tian, W Gao
Machine Intelligence Research 20 (4), 447-482, 2023
802023
Learning long-term dependencies for action recognition with a biologically-inspired deep network
Y Shi, Y Tian, Y Wang, W Zeng, T Huang
Proceedings of the IEEE International Conference on Computer Vision, 716-725, 2017
782017
Abnormal event detection using deep contrastive learning for intelligent video surveillance system
C Huang, Z Wu, J Wen, Y Xu, Q Jiang, Y Wang
IEEE Transactions on Industrial Informatics 18 (8), 5171-5179, 2021
762021
Automatic webcam-based human heart rate measurements using laplacian eigenmap
L Wei, Y Tian, Y Wang, T Ebrahimi, T Huang
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
762013
Self-supervised attentive generative adversarial networks for video anomaly detection
C Huang, J Wen, Y Xu, Q Jiang, J Yang, Y Wang, D Zhang
IEEE transactions on neural networks and learning systems, 2022
652022
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