| 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 | 807 | 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 | 459 | 2020 |
| Action recognition with stacked fisher vectors X Peng, C Zou, Y Qiao, Q Peng Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 450 | 2014 |
| Multi-region two-stream R-CNN for action detection X Peng, C Schmid Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 417 | 2016 |
| 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 | 390 | 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 | 245* | 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 | 235 | 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 | 110 | 2019 |
| 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 | 109 | 2019 |
| Visual Compositional Learning for Human-Object Interaction Detection Z Hou, X Peng, Y Qiao, D Tao ECCV 2020, 2020 | 105 | 2020 |
| Attention-driven dynamic graph convolutional network for multi-label image recognition J Ye, J He, X Peng, W Wu, Y Qiao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 101 | 2020 |
| 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 | 81 | 2017 |
| Boosting vlad with supervised dictionary learning and high-order statistics X Peng, L Wang, Y Qiao, Q Peng Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 76 | 2014 |
| 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 | 74 | 2018 |
| 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 | 65 | 2013 |
| 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 | 62 | 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 | 53 | 2019 |
| Action and gesture temporal spotting with super vector representation X Peng, L Wang, Z Cai, Y Qiao Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 50 | 2015 |
| Exploring emotion features and fusion strategies for audio-video emotion recognition H Zhou, D Meng, Y Zhang, X Peng, J Du, K Wang, Y Qiao 2019 International conference on multimodal interaction, 562-566, 2019 | 47 | 2019 |
| Affordance transfer learning for human-object interaction detection Z Hou, B Yu, Y Qiao, X Peng, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASVerified email at siat.ac.cn
