Xiaobin Chang - RankMe

36 papers A* 8A 1B 1Misc 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Elastic Weight Consolidation Done Right for Continual Learning. CoRR Xuan Liu, Xiaobin Chang
2026	J	`jnl`	Slowly expanding neural network for class incremental learning. Pattern Recognit. Zhengjin Xu, Xuyang Li, Xiaobin Chang, Wei-Shi Zheng, Ruixuan Wang
2025	J	`jnl`	IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis. Comput. Vis. Media Feng Liu, Xiaobin Chang
2025	A*	`conf`	LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning. CVPR Xuan Liu, Xiaobin Chang
2025	J	`jnl`	LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning. CoRR Xuan Liu, Xiaobin Chang
2024	—	`conf`	Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning. PRCV (1) Zhongren Yao, Xiaobin Chang
2024	J	`jnl`	Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning. CoRR Zhongren Yao, Xiaobin Chang
2024	A*	`conf`	Consistent Prompting for Rehearsal-Free Continual Learning. CVPR Zhanxin Gao, Jun Cen, Xiaobin Chang
2024	J	`jnl`	Consistent Prompting for Rehearsal-Free Continual Learning. CoRR Zhanxin Gao, Jun Cen, Xiaobin Chang
2024	Misc	`conf`	Generalizable Two-Branch Framework for Image Class-Incremental Learning. ICASSP Chao Wu, Xiaobin Chang, Ruixuan Wang
2024	J	`jnl`	Generalizable Two-Branch Framework for Image Class-Incremental Learning. CoRR Chao Wu, Xiaobin Chang, Ruixuan Wang
2024	J	`jnl`	IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis. CoRR Feng Liu, Xiaobin Chang
2023	A*	`conf`	Dynamic Residual Classifier for Class Incremental Learning. ICCV Xiuwei Chen, Xiaobin Chang
2023	J	`jnl`	Dynamic Residual Classifier for Class Incremental Learning. CoRR Xiuwei Chen, Xiaobin Chang
2023	—	`conf`	Prototypical Transformer for Weakly Supervised Action Segmentation. PRCV (6) Tao Lin, Xiaobin Chang, Wei Sun, Wei-Shi Zheng
2023	—	`conf`	Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis. PRCV (4) Xiuwei Chen, Xiaobin Chang
2023	J	`jnl`	Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis. CoRR Xiuwei Chen, Xiaobin Chang
2023	J	`jnl`	SATS: Self-attention transfer for continual semantic segmentation. Pattern Recognit. Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang
2022	A*	`conf`	Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. CVPR Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang
2022	J	`jnl`	Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. CoRR Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang
2022	J	`jnl`	SATS: Self-Attention Transfer for Continual Semantic Segmentation. CoRR Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang
2021	A*	`conf`	Learning Discriminative Prototypes With Dynamic Time Warping. CVPR Xiaobin Chang, Frederick Tung, Greg Mori
2021	J	`jnl`	Learning Discriminative Prototypes with Dynamic Time Warping. CoRR Xiaobin Chang, Frederick Tung, Greg Mori
2019	—	`—`	Deep multi-view learning for visual understanding. Xiaobin Chang
2019	A*	`conf`	Disjoint Label Space Transfer Learning with Common Factorised Space. AAAI Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Disjoint Label Space Transfer Learning with Common Factorised Space. CoRR Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
2018	A*	`conf`	Multi-Level Factorisation Net for Person Re-Identification. CVPR Xiaobin Chang, Timothy M. Hospedales, Tao Xiang
2018	J	`jnl`	Multi-Level Factorisation Net for Person Re-Identification. CoRR Xiaobin Chang, Timothy M. Hospedales, Tao Xiang
2018	A*	`conf`	Scalable and Effective Deep CCA via Soft Decorrelation. CVPR Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
2017	J	`jnl`	Deep Multi-View Learning with Stochastic Decorrelation Loss. CoRR Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
2017	J	`jnl`	The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. CoRR Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2016	B	`conf`	Facial skin beautification via sparse representation over learned layer dictionary. IJCNN Xi Lu, Xiaobin Chang, Xiaohua Xie, Jianfang Hu, Wei-Shi Zheng
2016	A	`conf`	L1 Graph Based Sparse Model for Label De-noising. BMVC Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
2015	J	`jnl`	Learning Person-Person Interaction in Collective Activity Recognition. IEEE Trans. Image Process. Xiaobin Chang, Wei-Shi Zheng, Jianguo Zhang
2014	—	`conf`	A Similar Interaction Model for Group Activity Recognition in Still Images. CCBR Xiaobin Chang, Xiang Li, Yuting Mai, Wei-Shi Zheng
2014	—	`conf`	Person Re-identification with Data-Driven Features. CCBR Xiang Li, Jinyu Gao, Xiaobin Chang, Yuting Mai, Wei-Shi Zheng