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Mingkui Tan
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Deep high-resolution representation learning for visual recognition
J Wang, K Sun, T Cheng, B Jiang, C Deng, Y Zhao, D Liu, Y Mu, M Tan, ...
IEEE transactions on pattern analysis and machine intelligence 43 (10), 3349 …, 2020
24472020
Discrimination-aware channel pruning for deep neural networks
Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu
Advances in neural information processing systems 31, 2018
6432018
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
4402019
Domain-symmetric networks for adversarial domain adaptation
Y Zhang, H Tang, K Jia, M Tan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3402019
Closed-loop matters: Dual regression networks for single image super-resolution
Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu, M Tan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3272020
Towards effective low-bitwidth convolutional neural networks
B Zhuang, C Shen, M Tan, L Liu, I Reid
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2442018
Learning sparse svm for feature selection on very high dimensional datasets
M Tan, L Wang, IW Tsang
Proceedings of the 27th international conference on machine learning (ICML …, 2010
2122010
Dense regression network for video grounding
R Zeng, H Xu, W Huang, P Chen, M Tan, C Gan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2112020
Gene selection using hybrid particle swarm optimization and genetic algorithm
S Li, X Wu, M Tan
Soft Computing 12, 1039-1048, 2008
1872008
Towards ultrahigh dimensional feature selection for big data
M Tan, IW Tsang, L Wang
Journal of Machine Learning Research, 2014
1852014
Visual grounding via accumulated attention
C Deng, Q Wu, Q Wu, F Hu, F Lyu, M Tan
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1842018
Attention guided network for retinal image segmentation
S Zhang, H Fu, Y Yan, Y Zhang, Q Wu, M Yang, M Tan, Y Xu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1732019
Heterogeneous domain adaptation for multiple classes
JT Zhou, IW Tsang, SJ Pan, M Tan
Artificial intelligence and statistics, 1095-1103, 2014
1712014
Robust kernel low-rank representation
S Xiao, M Tan, D Xu, ZY Dong
IEEE transactions on neural networks and learning systems 27 (11), 2268-2281, 2015
1612015
Structured binary neural networks for accurate image classification and semantic segmentation
B Zhuang, C Shen, M Tan, L Liu, I Reid
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1582019
Location-aware graph convolutional networks for video question answering
D Huang, P Chen, R Zeng, Q Du, M Tan, C Gan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11021 …, 2020
1472020
T-C3D: Temporal convolutional 3D network for real-time action recognition
K Liu, W Liu, C Gan, M Tan, H Ma
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
1352018
Collaborative unsupervised domain adaptation for medical image diagnosis
Y Zhang, Y Wei, Q Wu, P Zhao, S Niu, J Huang, M Tan
IEEE Transactions on Image Processing 29, 7834-7844, 2020
1142020
Online transfer learning with multiple homogeneous or heterogeneous sources
Q Wu, H Wu, X Zhou, M Tan, Y Xu, Y Yan, T Hao
IEEE Transactions on Knowledge and Data Engineering 29 (7), 1494-1507, 2017
1122017
A hybrid PSO-BFGS strategy for global optimization of multimodal functions
S Li, M Tan, IW Tsang, JTY Kwok
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011
1042011
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