| Multi-level factorisation net for person re-identification X Chang, TM Hospedales, T Xiang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 611 | 2018 |
| The devil is in the middle: Exploiting mid-level representations for cross-domain instance matching Q Yu, X Chang, YZ Song, T Xiang, TM Hospedales arXiv preprint arXiv:1711.08106, 2017 | 102 | 2017 |
| Scalable and effective deep CCA via soft decorrelation X Chang, T Xiang, TM Hospedales Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 69 | 2018 |
| Disjoint label space transfer learning with common factorised space X Chang, Y Yang, T Xiang, TM Hospedales Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3288-3295, 2019 | 59 | 2019 |
| Learning person–person interaction in collective activity recognition X Chang, WS Zheng, J Zhang IEEE Transactions on Image Processing 24 (6), 1905-1918, 2015 | 46 | 2015 |
| Learning discriminative prototypes with dynamic time warping X Chang, F Tung, G Mori Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
| SATS: Self-attention transfer for continual semantic segmentation Y Qiu, Y Shen, Z Sun, Y Zheng, X Chang, W Zheng, R Wang Pattern Recognition 138, 109383, 2023 | 31 | 2023 |
| Camera-conditioned stable feature generation for isolated camera supervised person re-identification C Wu, W Ge, A Wu, X Chang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 27 | 2022 |
| Dynamic residual classifier for class incremental learning X Chen, X Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
| Consistent Prompting for Rehearsal-Free Continual Learning Z Gao, J Cen, X Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| Deep multi-view learning with stochastic decorrelation loss X Chang, T Xiang, TM Hospedales CoRR, abs/1707.09669, 2017 | 5 | 2017 |
| L1 graph based sparse model for label de-noising X Chang, T Xiang, T Hospedales 27th British Machine Vision Conference, 74.1-74.12, 2016 | 4 | 2016 |
| Facial skin beautification via sparse representation over learned layer dictionary X Lu, X Chang, X Xie, JF Hu, WS Zheng 2016 International Joint Conference on Neural Networks (IJCNN), 2534-2539, 2016 | 4 | 2016 |
| A similar interaction model for group activity recognition in still images X Chang, X Li, Y Mai, WS Zheng Biometric Recognition: 9th Chinese Conference, CCBR 2014, Shenyang, China …, 2014 | 3 | 2014 |
| Deep multi-view learning for visual understanding X Chang Queen Mary University of London, 2019 | 1 | 2019 |
| Person Re-identification with Data-Driven Features X Li, J Gao, X Chang, Y Mai, WS Zheng Biometric Recognition: 9th Chinese Conference, CCBR 2014, Shenyang, China …, 2014 | 1 | 2014 |
| Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning Z Yao, X Chang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 476-489, 2024 | | 2024 |
| Generalizable Two-Branch Framework for Image Class-Incremental Learning C Wu, X Chang, R Wang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis F Liu, X Chang arXiv preprint arXiv:2403.13378, 2024 | | 2024 |
| Prototypical Transformer for Weakly Supervised Action Segmentation T Lin, X Chang, W Sun, W Zheng Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 195-206, 2023 | | 2023 |
Tao XiangUniversity of Surrey; Meta AIVerified email at surrey.ac.uk
