| Transductive zero-shot action recognition by word-vector embedding X Xu, T Hospedales, S Gong International Journal of Computer Vision 123 (3), 309-333, 2017 | 91 | 2017 |
| Zero-Shot Action Recognition by Word-Vector Embedding X Xu, T Hospedales, S Gong arXiv preprint arXiv:1511.04458, 2015 | 91* | 2015 |
| Semantic embedding space for zero-shot action recognition X Xu, T Hospedales, S Gong 2015 IEEE International Conference on Image Processing (ICIP), 63-67, 2015 | 75 | 2015 |
| Multi-task zero-shot action recognition with prioritised data augmentation X Xu, TM Hospedales, S Gong European Conference on Computer Vision, 343-359, 2016 | 57 | 2016 |
| Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization X Xu, TM Hospedales, S Gong IEEE Transactions on Circuits and Systems for Video Technology, 1-1, 2016 | 26 | 2016 |
| Motion Segmentation by Exploiting Complementary Geometric Models X Xu, LF Cheong, Z Li IEEE International Conference on Computer Vision and Pattern Recognition, 2018 | 17 | 2018 |
| C3ae: Exploring the limits of compact model for age estimation C Zhang, S Liu, X Xu, C Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 13 | 2019 |
| Visual aesthetic understanding: sample-specific aesthetic classification and deep activation map visualization C Zhang, C Zhu, X Xu, Y Liu, J Xiao, T Tillo Signal Processing: Image Communication 67, 12-21, 2018 | 8 | 2018 |
| Cross-domain traffic scene understanding by motion model transfer X Xu, S Gong, T Hospedales Proceedings of the 4th ACM/IEEE international workshop on Analysis and …, 2013 | 5 | 2013 |
| 3D Rigid Motion Segmentation with Mixed and Unknown Number of Models X Xu, LF Cheong, Z Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 4 | 2019 |
| Zero-Shot Crowd Behavior Recognition X Xu, S Gong, TM Hospedales Group and Crowd Behavior for Computer Vision, 341-369, 2017 | 4 | 2017 |
| Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels X Xu, GH Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| Image ordinal classification and understanding: grid dropout with masking label C Zhang, C Zhu, J Xiao, X Xu, Y Liu 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 3 | 2018 |
| Revisiting image ordinal estimation: how to deal with ordinal relationship in deep learning? C Zhang, C Zhu, X Xu Journal of Electronic Imaging 28 (1), 013025, 2019 | 1 | 2019 |
| Learning for Multi-Model and Multi-Type Fitting X Xu, LF Cheong, Z Li arXiv preprint arXiv:1901.10254, 2019 | 1 | 2019 |
| Learning Category-level Shape Saliency via Deep Implicit Surface Networks C Wu, L Sun, X Xu, K Jia arXiv preprint arXiv:2012.07290, 2020 | | 2020 |
| MultiANet: a Multi-Attention Network for Defocus Blur Detection Z Jiang, X Xu, C Zhang, C Zhu 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020 | | 2020 |
| Learning for Multi-Type Subspace Clustering X Xu, LF Cheong, Z Li arXiv preprint arXiv:1904.02075, 2019 | | 2019 |
| Robust Video Background Identification by Dominant Rigid Motion Estimation K Lin, N Jiang, LF Cheong, J Lu, X Xu ACCV18, 2018 | | 2018 |
| Image ordinal classification with deep multi-view learning C Zhang, X Xu, C Zhu Electronics Letters 54 (22), 1280-1282, 2018 | | 2018 |
Shaogang GongQueen Mary University of LondonVerified email at qmul.ac.uk
