| Supervised class-specific dictionary learning for sparse modeling in action recognition H Wang, C Yuan, W Hu, C Sun Pattern Recognition 45 (11), 3902-3911, 2012 | 131 | 2012 |
| Online human action detection using joint classification-regression recurrent neural networks Y Li, C Lan, J Xing, W Zeng, C Yuan, J Liu European Conference on Computer Vision, 203-220, 2016 | 124 | 2016 |
| 3D R transform on spatio-temporal interest points for action recognition C Yuan, X Li, W Hu, H Ling, S Maybank Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 86 | 2013 |
| Graph based skeleton motion representation and similarity measurement for action recognition P Wang, C Yuan, W Hu, B Li, Y Zhang European conference on computer vision, 370-385, 2016 | 83 | 2016 |
| Human action recognition under log-euclidean riemannian metric C Yuan, W Hu, X Li, S Maybank, G Luo Asian conference on computer vision, 343-353, 2009 | 73 | 2009 |
| Diagnosing deep learning models for high accuracy age estimation from a single image J Xing, K Li, W Hu, C Yuan, H Ling Pattern Recognition 66, 106-116, 2017 | 72 | 2017 |
| Action recognition using nonnegative action component representation and sparse basis selection H Wang, C Yuan, W Hu, H Ling, W Yang, C Sun IEEE transactions on image processing 23 (2), 570-581, 2013 | 66 | 2013 |
| Asymmetric 3d convolutional neural networks for action recognition H Yang, C Yuan, B Li, Y Du, J Xing, W Hu, SJ Maybank Pattern recognition 85, 1-12, 2019 | 65 | 2019 |
| Human action recognition based on context-dependent graph kernels B Wu, C Yuan, W Hu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 54 | 2014 |
| Interaction-aware spatio-temporal pyramid attention networks for action classification Y Du, C Yuan, B Li, L Zhao, Y Li, W Hu Proceedings of the European Conference on Computer Vision (ECCV), 373-389, 2018 | 46 | 2018 |
| Knowledge distillation via instance relationship graph Y Liu, J Cao, B Li, C Yuan, W Hu, Y Li, Y Duan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
| Multi-task sparse learning with beta process prior for action recognition C Yuan, W Hu, G Tian, S Yang, H Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 42 | 2013 |
| Multi-target tracking with motion context in tensor power iteration X Shi, H Ling, W Hu, C Yuan, J Xing Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 30 | 2014 |
| Multi-feature max-margin hierarchical bayesian model for action recognition S Yang, C Yuan, B Wu, W Hu, F Wang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 28 | 2015 |
| Learning human actions by combining global dynamics and local appearance G Luo, S Yang, G Tian, C Yuan, W Hu, SJ Maybank IEEE transactions on pattern analysis and machine intelligence 36 (12), 2466 …, 2014 | 28 | 2014 |
| A hierarchical model based on latent dirichlet allocation for action recognition S Yang, C Yuan, W Hu, X Ding 2014 22nd International Conference on Pattern Recognition, 2613-2618, 2014 | 26 | 2014 |
| Human activity prediction using temporally-weighted generalized time warping H Wang, W Yang, C Yuan, H Ling, W Hu Neurocomputing 225, 139-147, 2017 | 22 | 2017 |
| Modeling geometric-temporal context with directional pyramid co-occurrence for action recognition C Yuan, X Li, W Hu, H Ling, SJ Maybank IEEE Transactions on Image Processing 23 (2), 658-672, 2013 | 21 | 2013 |
| Multi-view multi-instance learning based on joint sparse representation and multi-view dictionary learning B Li, C Yuan, W Xiong, W Hu, H Peng, X Ding, S Maybank IEEE transactions on pattern analysis and machine intelligence 39 (12), 2554 …, 2017 | 19 | 2017 |
| Action recognition using linear dynamic systems H Wang, C Yuan, G Luo, W Hu, C Sun Pattern Recognition 46 (6), 1710-1718, 2013 | 17 | 2013 |
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