Junzhou Huang
Junzhou Huang
Professor of Computer Science and Engineering at University of Texas at Arlington
Verified email at uta.edu - Homepage
Cited by
Cited by
Learning with Structured Sparsity.
J Huang, T Zhang, D Metaxas
Journal of Machine Learning Research 12 (11), 2011
Robust tracking using local sparse appearance model and k-selection
B Liu, J Huang, L Yang, C Kulikowsk
CVPR 2011, 1313-1320, 2011
The benefit of group sparsity
J Huang, T Zhang
The Annals of Statistics 38 (4), 1978-2004, 2010
Learning active facial patches for expression analysis
L Zhong, Q Liu, P Yang, B Liu, J Huang, DN Metaxas
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2562-2569, 2012
Discrimination-aware channel pruning for deep neural networks
Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu
arXiv preprint arXiv:1810.11809, 2018
Efficient MR image reconstruction for compressed MR imaging
J Huang, S Zhang, D Metaxas
Medical Image Analysis 15 (5), 670-679, 2011
Adaptive graph convolutional neural networks
R Li, S Wang, F Zhu, J Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Pose-free facial landmark fitting via optimized part mixtures and cascaded deformable shape model
X Yu, J Huang, S Zhang, W Yan, DN Metaxas
Proceedings of the IEEE international conference on computer vision, 1944-1951, 2013
Towards robust and effective shape modeling: Sparse shape composition
S Zhang, Y Zhan, M Dewan, J Huang, DN Metaxas, XS Zhou
Medical image analysis 16 (1), 265-277, 2012
Large-scale multi-view spectral clustering via bipartite graph
Y Li, F Nie, H Huang, J Huang
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Robust and fast collaborative tracking with two stage sparse optimization
B Liu, L Yang, J Huang, P Meer, L Gong, C Kulikowski
European conference on computer vision, 624-637, 2010
Dropedge: Towards deep graph convolutional networks on node classification
Y Rong, W Huang, T Xu, J Huang
arXiv preprint arXiv:1907.10903, 2019
Automatic image annotation using group sparsity
S Zhang, J Huang, Y Huang, Y Yu, H Li, DN Metaxas
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Adaptive sampling towards fast graph representation learning
W Huang, T Zhang, Y Rong, J Huang
arXiv preprint arXiv:1809.05343, 2018
Learning with dynamic group sparsity
J Huang, X Huang, D Metaxas
2009 IEEE 12th International Conference on Computer Vision, 64-71, 2009
A new iris segmentation method for recognition
J Huang, Y Wang, T Tan, J Cui
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
Graph convolutional networks for temporal action localization
R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
An iris image synthesis method based on PCA and super-resolution
J Cui, Y Wang, JZ Huang, T Tan, Z Sun
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
Robust visual tracking using local sparse appearance model and k-selection
B Liu, J Huang, C Kulikowski, L Yang
IEEE transactions on pattern analysis and machine intelligence 35 (12), 2968 …, 2012
End-to-end learning of motion representation for video understanding
L Fan, W Huang, C Gan, S Ermon, B Gong, J Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
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