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2020 – today
- 2024
[c15]Zhanxin Gao, Jun Cen, Xiaobin Chang:
Consistent Prompting for Rehearsal-Free Continual Learning. CVPR 2024: 28463-28473- [c14]Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. ICASSP 2024: 4265-4269 - [c13]Zhongren Yao, Xiaobin Chang:
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning. PRCV (1) 2024: 476-489 - [i13]Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. CoRR abs/2402.18086 (2024) - [i12]Zhanxin Gao, Jun Cen, Xiaobin Chang:
Consistent Prompting for Rehearsal-Free Continual Learning. CoRR abs/2403.08568 (2024) - [i11]Feng Liu, Xiaobin Chang:
IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis. CoRR abs/2403.13378 (2024) - [i10]Zhongren Yao, Xiaobin Chang:
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning. CoRR abs/2409.13275 (2024) - 2023
- [j2]Yiqiao Qiu
, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang:
SATS: Self-attention transfer for continual semantic segmentation. Pattern Recognit. 138: 109383 (2023) - [c12]Xiuwei Chen, Xiaobin Chang:
Dynamic Residual Classifier for Class Incremental Learning. ICCV 2023: 18697-18706 - [c11]Xiuwei Chen, Xiaobin Chang:
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis. PRCV (4) 2023: 27-38 - [c10]Tao Lin, Xiaobin Chang, Wei Sun, Wei-Shi Zheng:
Prototypical Transformer for Weakly Supervised Action Segmentation. PRCV (6) 2023: 195-206 - [i9]Xiuwei Chen, Xiaobin Chang:
Dynamic Residual Classifier for Class Incremental Learning. CoRR abs/2308.13305 (2023) - [i8]Xiuwei Chen, Xiaobin Chang:
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis. CoRR abs/2308.15236 (2023) - 2022
- [c9]Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang:
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. CVPR 2022: 20206-20216 - [i7]Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang:
SATS: Self-Attention Transfer for Continual Semantic Segmentation. CoRR abs/2203.07667 (2022) - [i6]Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang:
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. CoRR abs/2203.15210 (2022) - 2021
- [c8]Xiaobin Chang, Frederick Tung, Greg Mori:
Learning Discriminative Prototypes With Dynamic Time Warping. CVPR 2021: 8395-8404 - [i5]Xiaobin Chang, Frederick Tung, Greg Mori:
Learning Discriminative Prototypes with Dynamic Time Warping. CoRR abs/2103.09458 (2021)
2010 – 2019
- 2019
- [b1]Xiaobin Chang:
Deep multi-view learning for visual understanding. Queen Mary University of London, UK, 2019 - [c7]Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. AAAI 2019: 3288-3295 - 2018
- [c6]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Scalable and Effective Deep CCA via Soft Decorrelation. CVPR 2018: 1488-1497 - [c5]Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. CVPR 2018: 2109-2118 - [i4]Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. CoRR abs/1803.09132 (2018) - [i3]Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. CoRR abs/1812.02605 (2018) - 2017
- [i2]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Deep Multi-View Learning with Stochastic Decorrelation Loss. CoRR abs/1707.09669 (2017) - [i1]Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. CoRR abs/1711.08106 (2017) - 2016
- [c4]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
L1 Graph Based Sparse Model for Label De-noising. BMVC 2016 - [c3]Xi Lu, Xiaobin Chang, Xiaohua Xie, Jianfang Hu, Wei-Shi Zheng:
Facial skin beautification via sparse representation over learned layer dictionary. IJCNN 2016: 2534-2539 - 2015
- [j1]Xiaobin Chang, Wei-Shi Zheng, Jianguo Zhang:
Learning Person-Person Interaction in Collective Activity Recognition. IEEE Trans. Image Process. 24(6): 1905-1918 (2015) - 2014
- [c2]Xiang Li, Jinyu Gao, Xiaobin Chang, Yuting Mai, Wei-Shi Zheng:
Person Re-identification with Data-Driven Features. CCBR 2014: 506-513 - [c1]Xiaobin Chang, Xiang Li, Yuting Mai, Wei-Shi Zheng:
A Similar Interaction Model for Group Activity Recognition in Still Images. CCBR 2014: 514-521
Coauthor Index
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