| 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 | 626 | 2016 |
| Action recognition with stacked fisher vectors X Peng, C Zou, Y Qiao, Q Peng European Conference on Computer Vision, 581-595, 2014 | 357 | 2014 |
| Multi-region two-stream R-CNN for action detection X Peng, C Schmid European conference on computer vision, 744-759, 2016 | 254 | 2016 |
| 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 | 182 | 2014 |
| Frankenstein: Learning Deep Face Representations using Small Data G Hu, X Peng, Y Yang, T Hospedales, J Verbeek IEEE Transactions on Image Processing, 2017 | 79 | 2017 |
| 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 | 69 | 2014 |
| 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 | 53 | 2013 |
| 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 | 42 | 2014 |
| 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 | 36 | 2017 |
| 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 | 33 | 2018 |
| 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 | 27 | 2020 |
| Motion boundary based sampling and 3D co-occurrence descriptors for action recognition X Peng, Y Qiao, Q Peng Image and Vision Computing 32 (9), 616-628, 2014 | 26 | 2014 |
| Large margin dimensionality reduction for action similarity labeling X Peng, Y Qiao, Q Peng, Q Wang IEEE Signal Processing Letters 21 (8), 1022-1025, 2014 | 22 | 2014 |
| Cascade attention networks for group emotion recognition with face, body and image cues K Wang, X Zeng, J Yang, D Meng, K Zhang, X Peng, Y Qiao Proceedings of the 20th ACM International Conference on Multimodal …, 2018 | 20 | 2018 |
| 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 | 19 | 2014 |
| A Joint Evaluation of Dictionary Learning and Feature Encoding for Action Recognition X Peng, L Wang, Y Qiao, Q Peng ICPR, 2014 | 17 | 2014 |
| Hybrid Super Vector with Improved Dense Trajectories for Action Recognition X Peng, LM Wang, Z Cai, Y Qiao, Q Peng ICCV 2013 workshop, 2013 | 16 | 2013 |
| Exploring Dense Trajectory Feature and Encoding Methods for Human Interaction Recognition X Peng, Q Peng, Y Qiao, X Wu, X Qi, L Yanhua International Conference on Internet Multimedia Computing and Service …, 2013 | 15 | 2013 |
| 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 | 13 | 2019 |
| Sketch-based 3-D modeling for piecewise planar objects in single images C Zou, X Peng, H Lv, S Chen, H Fu, J Liu Computers & Graphics 46, 130-137, 2015 | 13 | 2015 |
Yu QiaoProfessor of Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn
