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 | 4508 | 2018 |
Human action recognition and prediction: A survey Y Kong, Y Fu International Journal of Computer Vision 130 (5), 1366-1401, 2022 | 642 | 2022 |
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 | 187 | 2014 |
Deep Sequential Context Networks for Action Prediction Y Kong, Z Tao, Y Fu Computer Vision and Pattern Recognition, 2017 | 172 | 2017 |
Learning human interaction by interactive phrases Y Kong, Y Jia, Y Fu European Conference on Computer Vision, 300-313, 2012 | 161 | 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 | 145 | 2014 |
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 | 126 | 2021 |
Max-margin action prediction machine Y Kong, Y Fu IEEE transactions on pattern analysis and machine intelligence 38 (9), 1844-1858, 2015 | 114 | 2015 |
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 | 103 | 2020 |
Bilinear heterogeneous information machine for RGB-D action recognition Y Kong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 100 | 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 | 92 | 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 | 81 | 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 | 78 | 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 | 63 | 2014 |
Adversarial action prediction networks Y Kong, Z Tao, Y Fu IEEE transactions on pattern analysis and machine intelligence 42 (3), 539-553, 2018 | 54 | 2018 |
Close human interaction recognition using patch-aware models Y Kong, Y Fu IEEE Transactions on Image Processing 25 (1), 167-178, 2015 | 50 | 2015 |
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 | 48 | 2021 |
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 | 37 | 2016 |
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 | 36 | 2010 |
Drive: Deep reinforced accident anticipation with visual explanation W Bao, Q Yu, Y Kong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 33 | 2021 |