| Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice X Peng, L Wang, X Wang, Y Qiao Computer Vision and Image Understanding (CVIU), 2016 | 743 | 2016 |
| Action recognition with stacked fisher vectors X Peng, C Zou, Y Qiao, Q Peng European conference on computer vision, 581-595, 2014 | 417 | 2014 |
| Multi-region two-stream R-CNN for action detection X Peng, C Schmid European conference on computer vision, 744-759, 2016 | 368 | 2016 |
| Region attention networks for pose and occlusion robust facial expression recognition K Wang, X Peng, J Yang, D Meng, Y Qiao IEEE Transactions on Image Processing 29, 4057-4069, 2020 | 240 | 2020 |
| Frankenstein: Learning Deep Face Representations using Small Data G Hu, X Peng, Y Yang, T Hospedales, J Verbeek IEEE Transactions on Image Processing, 2017 | 223* | 2017 |
| Multi-view super vector for action recognition Z Cai, L Wang, X Peng, Y Qiao Proceedings of the IEEE conference on Computer Vision and Pattern …, 2014 | 215 | 2014 |
| Suppressing uncertainties for large-scale facial expression recognition K Wang, X Peng, J Yang, S Lu, Y Qiao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 179 | 2020 |
| Boosting vlad with supervised dictionary learning and high-order statistics X Peng, L Wang, Y Qiao, Q Peng European conference on computer vision, 660-674, 2014 | 74 | 2014 |
| Frame attention networks for facial expression recognition in videos D Meng, X Peng, K Wang, Y Qiao 2019 IEEE international conference on image processing (ICIP), 3866-3870, 2019 | 67 | 2019 |
| Exploring motion boundary based sampling and spatial-temporal context descriptors for action recognition X Peng, Y Qiao, Q Peng, X Qi British Machine Vision Conference 2013, 2013 | 63 | 2013 |
| Group emotion recognition with individual facial emotion CNNs and global image based CNNs L Tan, K Zhang, K Wang, X Zeng, X Peng, Y Qiao Proceedings of the 19th ACM International Conference on Multimodal …, 2017 | 62 | 2017 |
| Visual Compositional Learning for Human-Object Interaction Detection Z Hou, X Peng, Y Qiao, D Tao ECCV 2020, 2020 | 61 | 2020 |
| Deep recurrent multi-instance learning with spatio-temporal features for engagement intensity prediction J Yang, K Wang, X Peng, Y Qiao Proceedings of the 20th ACM international conference on multimodal …, 2018 | 54 | 2018 |
| Action and gesture temporal spotting with super vector representation X Peng, L Wang, Z Cai, Y Qiao European Conference on Computer Vision, 518-527, 2014 | 47 | 2014 |
| Anopcn: Video anomaly detection via deep predictive coding network M Ye, X Peng, W Gan, W Wu, Y Qiao Proceedings of the 27th ACM International Conference on Multimedia, 1805-1813, 2019 | 46 | 2019 |
| Attention-driven dynamic graph convolutional network for multi-label image recognition J Ye, J He, X Peng, W Wu, Y Qiao European conference on computer vision, 649-665, 2020 | 42 | 2020 |
| Df2net: A dense-fine-finer network for detailed 3d face reconstruction X Zeng, X Peng, Y Qiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 40 | 2019 |
| Mutual component convolutional neural networks for heterogeneous face recognition Z Deng, X Peng, Z Li, Y Qiao IEEE Transactions on Image Processing 28 (6), 3102-3114, 2019 | 38 | 2019 |
| An image-based intelligent system for pointer instrument reading Z Yang, W Niu, X Peng, Y Gao, Y Qiao, Y Dai 2014 4th IEEE International Conference on Information Science and Technology …, 2014 | 29 | 2014 |
| Residual Compensation Networks for Heterogeneous Face Recognition Z Deng, X Peng, Y Qiao AAAI, 2019 | 28 | 2019 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, Chinese Academy ofVerified email at siat.ac.cn
