A Similar Interaction Model for Group Activity Recognition in Still Images. - Xiaobin Chang; Xiang Li 032; Yuting Mai; Wei-Shi Zheng 001 (CCBR, 2014)

Person Re-identification with Data-Driven Features. - Xiang Li 032; Jinyu Gao; Xiaobin Chang; Yuting Mai; Wei-Shi Zheng 001 (CCBR, 2014)

Learning Person-Person Interaction in Collective Activity Recognition. - Xiaobin Chang; Wei-Shi Zheng 001; Jianguo Zhang 001 (IEEE Trans. Image Process., 2015)

L1 Graph Based Sparse Model for Label De-noising. - Xiaobin Chang; Tao Xiang 002; Timothy M. Hospedales (BMVC, 2016)

Facial skin beautification via sparse representation over learned layer dictionary. - Xi Lu; Xiaobin Chang; Xiaohua Xie; Jianfang Hu; Wei-Shi Zheng 001 (IJCNN, 2016)

Deep Multi-View Learning with Stochastic Decorrelation Loss. - Xiaobin Chang; Tao Xiang 002; Timothy M. Hospedales (CoRR, 2017)

The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. - Qian Yu; Xiaobin Chang; Yi-Zhe Song; Tao Xiang 002; Timothy M. Hospedales (CoRR, 2017)

Multi-Level Factorisation Net for Person Re-Identification. - Xiaobin Chang; Timothy M. Hospedales; Tao Xiang 002 (CVPR, 2018)

Scalable and Effective Deep CCA via Soft Decorrelation. - Xiaobin Chang; Tao Xiang 002; Timothy M. Hospedales (CVPR, 2018)

Disjoint Label Space Transfer Learning with Common Factorised Space. - Xiaobin Chang; Yongxin Yang; Tao Xiang 002; Timothy M. Hospedales (AAAI, 2019)

Deep multi-view learning for visual understanding. - Xiaobin Chang (2019)

Learning Discriminative Prototypes With Dynamic Time Warping. - Xiaobin Chang; Frederick Tung; Greg Mori (CVPR, 2021)

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. - Chao Wu; Wenhang Ge; Ancong Wu; Xiaobin Chang (CVPR, 2022)

Dynamic Residual Classifier for Class Incremental Learning. - Xiuwei Chen; Xiaobin Chang (ICCV, 2023)

Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis. - Xiuwei Chen; Xiaobin Chang (PRCV (4), 2023)

Prototypical Transformer for Weakly Supervised Action Segmentation. - Tao Lin; Xiaobin Chang; Wei Sun 007; Wei-Shi Zheng 001 (PRCV (6), 2023)

SATS: Self-attention transfer for continual semantic segmentation. - Yiqiao Qiu; Yixing Shen; Zhuohao Sun; Yanchong Zheng; Xiaobin Chang; Weishi Zheng 001; Ruixuan Wang (Pattern Recognit., 2023)

Consistent Prompting for Rehearsal-Free Continual Learning. - Zhanxin Gao; Jun Cen; Xiaobin Chang (CVPR, 2024)

Generalizable Two-Branch Framework for Image Class-Incremental Learning. - Chao Wu; Xiaobin Chang; Ruixuan Wang (ICASSP, 2024)

Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning. - Zhongren Yao; Xiaobin Chang (PRCV (1), 2024)

IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis. - Feng Liu; Xiaobin Chang (CoRR, 2024)

LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning. - Xuan Liu; Xiaobin Chang (CVPR, 2025)