Chang Tang
Chang Tang
School of Computer Science, China University of Geosciences, Wuhan, China
在 cug.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Action Recognition From Depth Maps Using Deep Convolutional Neural Networks
P Wang, W Li, Z Gao, J Zhang, C Tang, P Ogunbona
IEEE Transactions on Human-Machine Systems, 1-12, 2015
2652015
RGB-D-based action recognition datasets: A survey
J Zhang, W Li, PO Ogunbona, P Wang, C Tang
Pattern Recognition 60, 86-105, 2016
2282016
Late fusion incomplete multi-view clustering
X Liu, X Zhu, M Li, L Wang, C Tang, J Yin, D Shen, H Wang, W Gao
IEEE transactions on pattern analysis and machine intelligence 41 (10), 2410 …, 2018
1172018
Scene flow to action map: A new representation for rgb-d based action recognition with convolutional neural networks
P Wang, W Li, Z Gao, Y Zhang, C Tang, P Ogunbona
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1062017
ConvNets-Based Action Recognition from Depth Maps Through Virtual Cameras and Pseudocoloring
P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona
ACM Conference on Multimedia, 2015
1052015
Learning a joint affinity graph for multiview subspace clustering
C Tang, X Zhu, X Liu, M Li, P Wang, C Zhang, L Wang
IEEE Transactions on Multimedia 21 (7), 1724-1736, 2018
922018
Defocus map estimation from a single image via spectrum contrast
C Tang, C Hou, Z Song
Optics Letters 38 (10), 1706-1708, 2013
892013
Depth pooling based large-scale 3-d action recognition with convolutional neural networks
P Wang, W Li, Z Gao, C Tang, PO Ogunbona
IEEE Transactions on Multimedia 20 (5), 1051-1061, 2018
872018
Large-scale isolated gesture recognition using convolutional neural networks
P Wang, W Li, S Liu, Z Gao, C Tang, P Ogunbona
2016 23rd International Conference on Pattern Recognition (ICPR), 7-12, 2016
862016
Beyond Covariance: Feature Representation with Nonlinear Kernel matrices
W Lei, Z Jianjia, Z Luping, T Chang, L Wanqing
Proceedings of the IEEE International Conference on Computer Vision, 4570-4578, 2015
802015
A spectral and spatial approach of coarse-to-fine blurred image region detection
T Chang, J Wu, H Yonghong, W Pichao, L Wanqing
IEEE Signal Processing Letters 23 (11), 1652 - 1656, 2016
612016
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences
W Pichao, L Wanqing, G Zhimin, Z Jing, T Chang, O Philip
arXiv preprint arXiv:1501.04686., 2015
58*2015
Robust unsupervised feature selection via dual self-representation and manifold regularization
C Tang, X Liu, M Li, P Wang, J Chen, L Wang, W Li
Knowledge-Based Systems 145, 109-120, 2018
572018
Salient object detection via weighted low rank matrix recovery
C Tang, P Wang, C Zhang, W Li
IEEE Signal Processing Letters 24 (4), 490-494, 2016
552016
Multi-view Clustering via Late Fusion Alignment Maximization.
S Wang, X Liu, E Zhu, C Tang, J Liu, J Hu, J Xia, J Yin
IJCAI, 3778-3784, 2019
522019
Robust graph regularized unsupervised feature selection
C Tang, X Zhu, J Chen, P Wang, X Liu, J Tian
Expert Systems with Applications 96, 64-76, 2018
422018
Efficient and effective regularized incomplete multi-view clustering
X Liu, M Li, C Tang, J Xia, J Xiong, L Liu, M Kloft, E Zhu
IEEE transactions on pattern analysis and machine intelligence, 2020
382020
Cross-view local structure preserved diversity and consensus learning for multi-view unsupervised feature selection
C Tang, X Zhu, X Liu, L Wang
Proceedings of the AAAI Conference on artificial intelligence 33 (01), 5101-5108, 2019
342019
Defusionnet: Defocus blur detection via recurrently fusing and refining multi-scale deep features
C Tang, X Zhu, X Liu, L Wang, A Zomaya
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
342019
Consensus learning guided multi-view unsupervised feature selection
C Tang, J Chen, X Liu, M Li, P Wang, M Wang, P Lu
Knowledge-Based Systems 160, 49-60, 2018
342018
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