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Yu Kong
Yu Kong
Michigan State U, Assistant Professor; ACTION Lab, Director
Verified email at msu.edu - Homepage
Title
Cited by
Cited by
Year
Residual dense network for image super-resolution
Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
42502018
Human action recognition and prediction: A survey
Y Kong, Y Fu
International Journal of Computer Vision 130 (5), 1366-1401, 2022
5822022
A discriminative model with multiple temporal scales for action prediction
Y Kong, D Kit, Y Fu
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
1842014
Deep Sequential Context Networks for Action Prediction
Y Kong, Z Tao, Y Fu
Computer Vision and Pattern Recognition, 2017
1692017
Learning human interaction by interactive phrases
Y Kong, Y Jia, Y Fu
European Conference on Computer Vision, 300-313, 2012
1602012
Interactive Phrases: Semantic Descriptions for Human Interaction Recognition
Y Kong, Y Jia, Y Fu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1, 2014
1432014
Interactive phrases: Semantic descriptionsfor human interaction recognition
Y Kong, Y Jia, Y Fu
IEEE transactions on pattern analysis and machine intelligence 36 (9), 1775-1788, 2014
1432014
Evidential deep learning for open set action recognition
W Bao, Q Yu, Y Kong
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1162021
Max-margin action prediction machine
Y Kong, Y Fu
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1844-1858, 2015
1132015
Bilinear heterogeneous information machine for RGB-D action recognition
Y Kong, Y Fu
Proceedings of the IEEE conference on computer vision and pattern …, 2015
972015
Deeply learned view-invariant features for cross-view action recognition
Y Kong, Z Ding, J Li, Y Fu
IEEE Transactions on Image Processing 26 (6), 3028-3037, 2017
902017
Uncertainty-based traffic accident anticipation with spatio-temporal relational learning
W Bao, Q Yu, Y Kong
Proceedings of the 28th ACM International Conference on Multimedia, 2682-2690, 2020
892020
Action prediction from videos via memorizing hard-to-predict samples
Y Kong, S Gao, B Sun, Y Fu
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
772018
Deep convolutional neural network with independent softmax for large scale face recognition
Y Wu, J Li, Y Kong, Y Fu
Proceedings of the 24th ACM international conference on Multimedia, 1063-1067, 2016
772016
Latent tensor transfer learning for RGB-D action recognition
C Jia, Y Kong, Z Ding, YR Fu
Proceedings of the 22nd ACM international conference on Multimedia, 87-96, 2014
622014
Adversarial action prediction networks
Y Kong, Z Tao, Y Fu
IEEE transactions on pattern analysis and machine intelligence 42 (3), 539-553, 2018
542018
Close human interaction recognition using patch-aware models
Y Kong, Y Fu
IEEE Transactions on Image Processing 25 (1), 167-178, 2015
492015
Accurate and fast image denoising via attention guided scaling
Y Zhang, K Li, K Li, G Sun, Y Kong, Y Fu
IEEE Transactions on Image Processing 30, 6255-6265, 2021
452021
Learning fast low-rank projection for image classification
J Li, Y Kong, H Zhao, J Yang, Y Fu
IEEE Transactions on Image Processing 25 (10), 4803-4814, 2016
372016
A swarm intelligence based searching strategy for articulated 3D human body tracking
X Zhang, W Hu, X Wang, Y Kong, N Xie, H Wang, H Ling, S Maybank
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
362010
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