Spindle net: Person re-identification with human body region guided feature decomposition and fusion H Zhao, M Tian, S Sun, J Shao, J Yan, S Yi, X Wang, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1058 | 2017 |
Hydraplus-net: Attentive deep features for pedestrian analysis X Liu, H Zhao, M Tian, L Sheng, J Shao, S Yi, J Yan, X Wang Proceedings of the IEEE international conference on computer vision, 350-359, 2017 | 643 | 2017 |
Balanced meta-softmax for long-tailed visual recognition J Ren, C Yu, X Ma, H Zhao, S Yi Advances in neural information processing systems 33, 4175-4186, 2020 | 564 | 2020 |
Spatio-temporal graph transformer networks for pedestrian trajectory prediction C Yu, X Ma, J Ren, H Zhao, S Yi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 510 | 2020 |
Efficient attention: Attention with linear complexities Z Shen, M Zhang, H Zhao, S Yi, H Li Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 501 | 2021 |
Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification Z Wang, L Tang, X Liu, Z Yao, S Yi, J Shao, J Yan, S Wang, H Li, X Wang Proceedings of the IEEE international conference on computer vision, 379-387, 2017 | 444 | 2017 |
Fd-gan: Pose-guided feature distilling gan for robust person re-identification Y Ge, Z Li, H Zhao, G Yin, S Yi, X Wang Advances in neural information processing systems 31, 2018 | 420 | 2018 |
Person re-identification with deep similarity-guided graph neural network Y Shen, H Li, S Yi, D Chen, X Wang Proceedings of the European conference on computer vision (ECCV), 486-504, 2018 | 370 | 2018 |
Learning deep neural networks for vehicle re-id with visual-spatio-temporal path proposals Y Shen, T Xiao, H Li, S Yi, X Wang Proceedings of the IEEE international conference on computer vision, 1900-1909, 2017 | 367 | 2017 |
Understanding Pedestrian Behaviors from Stationary Crowd Groups S Yi, H Li, X Wang Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015 | 293 | 2015 |
Video person re-identification with competitive snippet-similarity aggregation and co-attentive snippet embedding D Chen, H Li, T Xiao, S Yi, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 248 | 2018 |
Delving into localization errors for monocular 3d object detection X Ma, Y Zhang, D Xu, D Zhou, S Yi, H Li, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 231 | 2021 |
Learning monocular depth by distilling cross-domain stereo networks X Guo, H Li, S Yi, J Ren, X Wang Proceedings of the European conference on computer vision (ECCV), 484-500, 2018 | 224 | 2018 |
Variational relational point completion network L Pan, X Chen, Z Cai, J Zhang, H Zhao, S Yi, Z Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 208 | 2021 |
Pedestrian behavior understanding and prediction with deep neural networks S Yi, H Li, X Wang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 199 | 2016 |
Eliminating background-bias for robust person re-identification M Tian, S Yi, H Li, S Li, X Zhang, J Shi, J Yan, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 191 | 2018 |
Hms-net: Hierarchical multi-scale sparsity-invariant network for sparse depth completion Z Huang, J Fan, S Cheng, S Yi, X Wang, H Li IEEE Transactions on Image Processing 29, 3429-3441, 2019 | 176 | 2019 |
Deep group-shuffling random walk for person re-identification Y Shen, H Li, T Xiao, S Yi, D Chen, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 175 | 2018 |
End-to-end deep kronecker-product matching for person re-identification Y Shen, T Xiao, H Li, S Yi, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 164 | 2018 |
Gtc: Guided training of ctc towards efficient and accurate scene text recognition W Hu, X Cai, J Hou, S Yi, Z Lin Proceedings of the AAAI conference on artificial intelligence 34 (07), 11005 …, 2020 | 155 | 2020 |