Jin Tang
Jin Tang
Anhui University
No verified email
Title
Cited by
Cited by
Year
Graph-Laplacian PCA: Closed-form solution and robustness
B Jiang, C Ding, B Luo, J Tang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1042013
Learning collaborative sparse representation for grayscale-thermal tracking
C Li, H Cheng, S Hu, X Liu, J Tang, L Lin
IEEE Transactions on Image Processing 25 (12), 5743-5756, 2016
782016
RGB-T object tracking: benchmark and baseline
C Li, X Liang, Y Lu, N Zhao, J Tang
Pattern Recognition 96, 106977, 2019
572019
A method for defensing against multi-source Sybil attacks in VANET
X Feng, C Li, D Chen, J Tang
Peer-to-Peer Networking and Applications 10 (2), 305-314, 2017
562017
Deep decoder: Concise image representations from untrained non-convolutional networks
R Heckel, P Hand
arXiv preprint arXiv:1810.03982, 2018
552018
Sold: Sub-optimal low-rank decomposition for efficient video segmentation
C Li, L Lin, W Zuo, S Yan, J Tang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
552015
Sint++: Robust visual tracking via adversarial positive instance generation
X Wang, C Li, B Luo, J Tang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
492018
Weighted low-rank decomposition for robust grayscale-thermal foreground detection
C Li, X Wang, L Zhang, J Tang, H Wu, L Lin
IEEE Transactions on Circuits and Systems for Video Technology 27 (4), 725-738, 2016
492016
Weighted low-rank decomposition for robust grayscale-thermal foreground detection
C Li, X Wang, L Zhang, J Tang, H Wu, L Lin
IEEE Transactions on Circuits and Systems for Video Technology 27 (4), 725-738, 2016
492016
Grayscale-thermal object tracking via multitask laplacian sparse representation
C Li, X Sun, X Wang, L Zhang, J Tang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (4), 673-681, 2017
382017
An approach to streaming video segmentation with sub-optimal low-rank decomposition
C Li, L Lin, W Zuo, W Wang, J Tang
IEEE Transactions on Image Processing 25 (5), 1947-1960, 2016
362016
Visual tracking via dynamic graph learning
C Li, L Lin, W Zuo, J Tang, MH Yang
IEEE transactions on pattern analysis and machine intelligence 41 (11), 2770 …, 2018
332018
Weighted sparse representation regularized graph learning for rgb-t object tracking
C Li, N Zhao, Y Lu, C Zhu, J Tang
Proceedings of the 25th ACM international conference on Multimedia, 1856-1864, 2017
312017
Semi-supervised learning with graph learning-convolutional networks
B Jiang, Z Zhang, D Lin, J Tang, B Luo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
302019
A sparse nonnegative matrix factorization technique for graph matching problems
B Jiang, H Zhao, J Tang, B Luo
Pattern Recognition 47 (2), 736-747, 2014
282014
Fusing two-stream convolutional neural networks for RGB-T object tracking
C Li, X Wu, N Zhao, X Cao, J Tang
Neurocomputing 281, 78-85, 2018
272018
Learning patch-based dynamic graph for visual tracking
C Li, L Lin, W Zuo, J Tang
Thirty-First AAAI Conference on Artificial Intelligence, 2017
262017
New multi-resolution image stitching with local and global alignment
X Fang, B Luo, H Zhao, J Tang, S Zhai
IET Computer Vision 4 (4), 231-246, 2010
262010
Cross-modal ranking with soft consistency and noisy labels for robust rgb-t tracking
C Li, C Zhu, Y Huang, J Tang, L Wang
Proceedings of the European Conference on Computer Vision (ECCV), 808-823, 2018
242018
Graph structure analysis based on complex network
J Tang, B Jiang, CC Chang, B Luo
Digital Signal Processing 22 (5), 713-725, 2012
222012
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Articles 1–20