Xiaobin Chang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Incremental Learning

Top Venues

Publications

Feng Liu, Xiaobin Chang
IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis. CoRR (2024)
Chao Wu, Xiaobin Chang, Ruixuan Wang
Generalizable Two-Branch Framework for Image Class-Incremental Learning. CoRR (2024)
Zhanxin Gao, Jun Cen, Xiaobin Chang
Consistent Prompting for Rehearsal-Free Continual Learning. CoRR (2024)
Chao Wu, Xiaobin Chang, Ruixuan Wang
Generalizable Two-Branch Framework for Image Class-Incremental Learning. ICASSP (2024)
Tao Lin, Xiaobin Chang, Wei Sun, Wei-Shi Zheng
Prototypical Transformer for Weakly Supervised Action Segmentation. PRCV (6) (2023)
Xiuwei Chen, Xiaobin Chang
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis. PRCV (4) (2023)
Xiuwei Chen, Xiaobin Chang
Dynamic Residual Classifier for Class Incremental Learning. CoRR (2023)
Xiuwei Chen, Xiaobin Chang
Dynamic Residual Classifier for Class Incremental Learning. ICCV (2023)
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 (2023)
Xiuwei Chen, Xiaobin Chang
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis. CoRR (2023)
Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. CoRR (2022)
Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. CVPR (2022)
Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang
SATS: Self-Attention Transfer for Continual Semantic Segmentation. CoRR (2022)
Xiaobin Chang, Frederick Tung, Greg Mori
Learning Discriminative Prototypes with Dynamic Time Warping. CoRR (2021)
Xiaobin Chang, Frederick Tung, Greg Mori
Learning Discriminative Prototypes With Dynamic Time Warping. CVPR (2021)
Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
Disjoint Label Space Transfer Learning with Common Factorised Space. AAAI (2019)
Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
Scalable and Effective Deep CCA via Soft Decorrelation. CVPR (2018)
Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
Disjoint Label Space Transfer Learning with Common Factorised Space. CoRR (2018)
Xiaobin Chang, Timothy M. Hospedales, Tao Xiang
Multi-Level Factorisation Net for Person Re-Identification. CoRR (2018)
Xiaobin Chang, Timothy M. Hospedales, Tao Xiang
Multi-Level Factorisation Net for Person Re-Identification. CVPR (2018)
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 (2017)
Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
Deep Multi-View Learning with Stochastic Decorrelation Loss. CoRR (2017)
Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
L1 Graph Based Sparse Model for Label De-noising. BMVC (2016)
Xi Lu, Xiaobin Chang, Xiaohua Xie, Jianfang Hu, Wei-Shi Zheng
Facial skin beautification via sparse representation over learned layer dictionary. IJCNN (2016)
Xiaobin Chang, Wei-Shi Zheng, Jianguo Zhang
Learning Person-Person Interaction in Collective Activity Recognition. IEEE Trans. Image Process. 24 (6) (2015)
Xiaobin Chang, Xiang Li, Yuting Mai, Wei-Shi Zheng
A Similar Interaction Model for Group Activity Recognition in Still Images. CCBR (2014)
Xiang Li, Jinyu Gao, Xiaobin Chang, Yuting Mai, Wei-Shi Zheng
Person Re-identification with Data-Driven Features. CCBR (2014)