Xi Li(李玺)
Xi Li(李玺)
College of Computer Science, Zhejiang University, China;
Verified email at - Homepage
Cited by
Cited by
A survey of appearance models in visual object tracking
X Li, W Hu, C Shen, Z Zhang, A Dick, AVD Hengel
ACM transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-48, 2013
Deeply-Learned Part-Aligned Representations for Person Re-Identification
L Zhao, X Li, J Wang, Y Zhuang
International Conference on Computer Vision, 2017
FcaNet: Frequency Channel Attention Networks
Z Qin, P Zhang, F Wu, X Li
IEEE International Conference on Computer Vision, 2021
Deepsaliency: Multi-task deep neural network model for salient object detection
X Li, L Zhao, L Wei, MH Yang, F Wu, Y Zhuang, H Ling, J Wang
IEEE transactions on image processing 25 (8), 3919-3930, 2016
Ultra fast structure-aware deep lane detection
Z Qin, H Wang, X Li
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
A Jabbar, X Li, B Omar
ACM Computing Surveys, 2021
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality
Z Qi, T Wang, G Song, W Hu, X Li
IEEE Transactions on Knowledge and Data Engineering, 2017
Contextual hypergraph modeling for salient object detection
X Li, Y Li, C Shen, A Dick, A Van Den Hengel
Proceedings of the IEEE international conference on computer vision, 3328-3335, 2013
Spatio-Temporal Graph Routing for Skeleton-based Action Recognition
B Li, X Li, Z Zhang, F Wu
AAAI Conference on Artificial Intelligence (AAAI), 2019
Learning A Key-Value Memory Co-Attention Matching Network for Person ReIdentification
Y Zhang, X Li, Z Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2019
Sequential particle swarm optimization for visual tracking
X Zhang, W Hu, S Maybank, X Li, M Zhu
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model
W Hu, X Li, W Luo, X Zhang, S Maybank, Z Zhang
Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2012
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
P Sun, W Zhang, H Wang, S Li, X Li
CVPR 2021 Oral, 2021
Incremental tensor subspace learning and its applications to foreground segmentation and tracking
W Hu, X Li, X Zhang, X Shi, S Maybank, Z Zhang
International Journal of Computer Vision, 1-25, 2011
Visual tracking via incremental log-Euclidean Riemannian subspace learning
X Li, W Hu, Z Zhang, X Zhang, M Zhu, J Cheng
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
Robust visual tracking based on incremental tensor subspace learning
X Li, W Hu, Z Zhang, X Zhang, G Luo
2007 IEEE 11th international conference on computer vision, 1-8, 2007
Learning hash functions using column generation
X Li, G Lin, C Shen, A Hengel, A Dick
International Conference on Machine Learning, 2013
Towards a new generation of artificial intelligence in China
F Wu, C Lu, M Zhu, H Chen, J Zhu, K Yu, L Li, M Li, Q Chen, X Li, X Cao, ...
Nature Machine Intelligence 2 (6), 312-316, 2020
Deep Q learning driven CT pancreas segmentation with geometry-aware U-Net
Y Man, Y Huang, J Feng, X Li, F Wu
IEEE transactions on medical imaging 38 (8), 1971-1980, 2019
Body structure aware deep crowd counting
S Huang, X Li, Z Zhang, F Wu, S Gao, R Ji, J Han
IEEE Transactions on Image Processing 27 (3), 1049-1059, 2017
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