| 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 | 117 | 2017 |
| 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 | 93 | 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 | 77 | 2016 |
| 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 | 33 | 2020 |
| 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 | 28 | 2016 |
| C3AE: Exploring the limits of compact model for age estimation C Zhang, S Liu, X Xu, C Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 25 | 2019 |
| Motion Segmentation by Exploiting Complementary Geometric Models X Xu, LF Cheong, Z Li IEEE International Conference on Computer Vision and Pattern Recognition, 2018 | 25 | 2018 |
| 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 | 13 | 2018 |
| 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 | 11 | 2019 |
| 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 |
| Zero-Shot Crowd Behavior Recognition X Xu, S Gong, TM Hospedales Group and Crowd Behavior for Computer Vision, 341-369, 2017 | 4 | 2017 |
| 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 |
| Learning Clustering for Motion Segmentation X Xu, L Zhang, LF Cheong, Z Li, C Zhu IEEE Transactions on Circuits and Systems for Video Technology, 2021 | 2* | 2021 |
| Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach X Shi, X Xu, K Chen, L Cai, CS Foo, K Jia arXiv preprint arXiv:2101.06931, 2021 | 2 | 2021 |
| 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding S Deng, X Xu, C Wu, K Chen, K Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 2 | 2021 |
| 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 | 1 | 2020 |
| 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 |
| Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs L Cai, X Xu, JH Liew, CS Foo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | | 2021 |
| 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 |
| ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity K Lu, CM Nguyen, X Xu, K Chari, YJ Goh, CS Foo International Conference on Learning Representations, 2020 | | 2020 |
Shaogang GongQueen Mary University of LondonVerified email at qmul.ac.uk
