| Inception single shot multibox detector for object detection C Ning, H Zhou, Y Song, J Tang 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017 | 186 | 2017 |
| Expansion-squeeze-excitation fusion network for elderly activity recognition X Shu, J Yang, R Yan, Y Song IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5281-5292, 2022 | 151 | 2022 |
| Body surface context: A new robust feature for action recognition from depth videos Y Song, J Tang, F Liu, S Yan IEEE transactions on circuits and systems for video technology 24 (6), 952-964, 2014 | 69 | 2014 |
| X-invariant contrastive augmentation and representation learning for semi-supervised skeleton-based action recognition B Xu, X Shu, Y Song IEEE Transactions on Image Processing 31, 3852-3867, 2022 | 68 | 2022 |
| A novel image text extraction method based on k-means clustering Y Song, A Liu, L Pang, S Lin, Y Zhang, S Tang Seventh IEEE/ACIS International Conference on Computer and Information …, 2008 | 65 | 2008 |
| Spatiotemporal decouple-and-squeeze contrastive learning for semisupervised skeleton-based action recognition B Xu, X Shu, J Zhang, G Dai, Y Song IEEE Transactions on Neural Networks and Learning Systems, 2023 | 49 | 2023 |
| Localized multiple kernel learning for realistic human action recognition in videos Y Song, YT Zheng, S Tang, X Zhou, Y Zhang, S Lin, TS Chua IEEE Transactions on Circuits and Systems for Video Technology 21 (9), 1193-1202, 2011 | 43 | 2011 |
| Concurrence-aware long short-term sub-memories for person-person action recognition X Shu, J Tang, GJ Qi, Y Song, Z Li, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 39 | 2017 |
| Describing trajectory of surface patch for human action recognition on RGB and depth videos Y Song, S Liu, J Tang IEEE Signal Processing Letters 22 (4), 426-429, 2014 | 36 | 2014 |
| Local structure-based sparse representation for face recognition F Liu, J Tang, Y Song, L Zhang, Z Tang ACM Transactions on Intelligent Systems and Technology (TIST) 7 (1), 1-20, 2015 | 22 | 2015 |
| An innovative model of tempo and its application in action scene detection for movie analysis A Liu, J Li, Y Zhang, S Tang, Y Song, Z Yang 2008 IEEE Workshop on Applications of Computer Vision, 1-6, 2008 | 18 | 2008 |
| Local structure based sparse representation for face recognition with single sample per person F Liu, J Tang, Y Song, X Xiang, Z Tang 2014 IEEE International Conference on Image Processing (ICIP), 713-717, 2014 | 12 | 2014 |
| Human attention model for action movie analysis A Liu, J Li, Y Zhang, S Tang, Y Song, Z Yang 2007 2nd International Conference on Pervasive Computing and Applications …, 2007 | 12 | 2007 |
| Skip-attention encoder–decoder framework for human motion prediction R Zhang, X Shu, R Yan, J Zhang, Y Song Multimedia Systems, 1-10, 2022 | 11 | 2022 |
| Human attention model for semantic scene analysis in movies A Liu, Y Zhang, Y Song, D Zhang, J Li, Z Yang 2008 IEEE International Conference on Multimedia and Expo, 1473-1476, 2008 | 11 | 2008 |
| Global and local C3D ensemble system for first person interactive action recognition L Fa, Y Song, X Shu MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok …, 2018 | 8 | 2018 |
| GRNet: Graph-based remodeling network for multi-view semi-supervised classification X Wang, Z Zhu, Y Song, H Fu Pattern Recognition Letters 151, 95-102, 2021 | 7 | 2021 |
| Towards integration of domain knowledge-guided feature engineering and deep feature learning in surface electromyography-based hand movement recognition W Wei, X Hu, H Liu, M Zhou, Y Song Computational Intelligence and Neuroscience 2021, 2021 | 7 | 2021 |
| A distribution based video representation for human action recognition Y Song, S Tang, YT Zheng, TS Chua, Y Zhang, S Lin 2010 IEEE International Conference on Multimedia and Expo, 772-777, 2010 | 7 | 2010 |
| A hierarchical framework for movie content analysis: Let computers watch films like humans A Liu, S Tang, Y Zhang, Y Song, J Li, Z Yang 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 7 | 2008 |
