关注
Chao Li
Chao Li
Alibaba Group
在 mail.nwpu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
C Li, Q Zhong, D Xie, S Pu
IJCAI 2018, 2018
5632018
Skeleton-based action recognition with convolutional neural networks
C Li, Q Zhong, D Xie, S Pu
ICMEW 2017, 597-600, 2017
477*2017
Detection of co-salient objects by looking deep and wide
D Zhang, J Han, C Li, J Wang, X Li
IJCV 120 (2), 215-232, 2016
3332016
Dynamic gcn: Context-enriched topology learning for skeleton-based action recognition
F Ye, S Pu, Q Zhong, C Li, D Xie, H Tang
Proceedings of the 28th ACM International Conference on Multimedia, 55-63, 2020
2172020
A self-paced multiple-instance learning framework for co-saliency detection
D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han
ICCV 2015, 594-602, 2015
1382015
Co-saliency detection via looking deep and wide
D Zhang, J Han, C Li, J Wang
CVPR 2015, 2994-3002, 2015
1252015
Collaborative Spatiotemporal Feature Learning for Video Action Recognition
C Li, Q Zhong, D Xie, S Pu
CVPR 2019, 7872-7881, 2019
1192019
Cascade region proposal and global context for deep object detection
Q Zhong, C Li, Y Zhang, D Xie, S Yang, S Pu
Neurocomputing 395, 170-177, 2020
602020
Towards good practices for recognition & detection
Q Zhong, C Li, Y Zhang, H Sun, S Yang, D Xie, S Pu
CVPR workshops 1, 3, 2016
232016
Language supervised training for skeleton-based action recognition
W Xiang, C Li, Y Zhou, B Wang, L Zhang
arXiv preprint arXiv:2208.05318, 2022
212022
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition
W Xiang, C Li, B Wang, X Wei, XS Hua, L Zhang
ECCV 2022, 2022
122022
SP-ViT: Learning 2D Spatial Priors for Vision Transformers
Y Zhou, W Xiang, C Li, B Wang, X Wei, L Zhang, M Keuper, X Hua
BMVC 2022, 2022
52022
Team DEEP-HRI Moments in Time challenge 2018 technical report
C Li, Z Hou, J Chen, Y Bu, J Zhou, Q Zhong, D Xie, S Pu
Computer Vision and Pattern Recognition, 2018
52018
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