| Introduction Y Kong, Y Fu Human Activity Recognition and Prediction, 1-22, 2016 | 4973* | 2016 |
| 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 | 2082 | 2018 |
| Residual dense network for image restoration Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (7), 2480-2495, 2020 | 296 | 2020 |
| Human action recognition and prediction: A survey Y Kong, Y Fu arXiv preprint arXiv:1806.11230, 2018 | 256 | 2018 |
| A discriminative model with multiple temporal scales for action prediction Y Kong, D Kit, Y Fu European conference on computer vision, 596-611, 2014 | 156 | 2014 |
| Learning human interaction by interactive phrases Y Kong, Y Jia, Y Fu European Conference on Computer Vision, 300-313, 2012 | 140 | 2012 |
| Interactive Phrases: Semantic Descriptions for Human Interaction Recognition Y Kong, Y Jia, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence, 1, 2014 | 132 | 2014 |
| 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 | 132 | 2014 |
| Deep Sequential Context Networks for Action Prediction Y Kong, Z Tao, Y Fu Computer Vision and Pattern Recognition, 2017 | 123 | 2017 |
| Bilinear heterogeneous information machine for RGB-D action recognition Y Kong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 94 | 2015 |
| Max-margin action prediction machine Y Kong, Y Fu IEEE transactions on pattern analysis and machine intelligence 38 (9), 1844-1858, 2015 | 93 | 2015 |
| 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 | 68 | 2017 |
| 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 | 60 | 2018 |
| 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 | 59 | 2016 |
| 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 | 56 | 2014 |
| Close human interaction recognition using patch-aware models Y Kong, Y Fu IEEE Transactions on Image Processing 25 (1), 167-178, 2015 | 41 | 2015 |
| 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 | 36 | 2016 |
| Adversarial action prediction networks Y Kong, Z Tao, Y Fu IEEE transactions on pattern analysis and machine intelligence 42 (3), 539-553, 2018 | 32 | 2018 |
| 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 | 32 | 2010 |
| Recognising human interaction from videos by a discriminative model Y Kong, W Liang, Z Dong, Y Jia IET Computer vision 8 (4), 277-286, 2014 | 29 | 2014 |
Yun Raymond FuNEU, Professor; FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
