简介/Short BIO.
欢迎来到常晓斌的主页，他目前在中山大学人工智能学院任副教授。
电子邮箱(Email)：changxb3_at_mail.sysu.edu.cn
Welcome! This is Xiaobin Chang's Homepage. He is an Associate Professor at School of Artificial Intelligence, Sun Yat-sen University. He was a postdoc researcher of Simon Fraser University and work with Professor Greg Mori. He got Ph.D. degree from Queen Mary University of London, under the guidance of Professor Tao Xiang and Timothy Hospedales. His Master advisor was Professor Wei-Shi Zheng at Sun Yat-sen University. His research interests including: Computer Vision (e.g., Action Analysis and Representation Learning) & Machine Learning (e.g., Temporal Information Porcessing and Multi-View Problems)
消息/News
2024/06 恭喜毋超 (优秀毕业生)，高湛欣 (优秀毕业生)，陈修伟，林涛四位硕士生顺利毕业！
2024/03 恭喜毋超 (ICASSP'24)，刘峰 (CVMJ)，高湛欣 (CVPR'24)的文章被接收，Well Done!
2023/09 第三届计图人工智能挑战赛图片生成赛道第一名，刘峰，Well Done!
2023/09 欢迎两位硕士研究生：刘璇、姚重任
2023/07 One ICCV paper accepted. Xiuwei (陈修伟), Congratulation!
2022/09 欢迎两位硕士研究生：刘峰、罗涵
2022/03 One CVPR paper accepted. Chao (毋超), Congratulation!
招生
我的研究领域主要是计算机视觉(Computer Vision)和机器学习(Machine Learning)，过往的研究侧重于利用机器学习的方法来分析图像中的人物及其相关信息，现在还对持续学习和AIGC(如扩散模型)相关研究方向感兴趣。欢迎联系和咨询硕士研究生相关事宜，也欢迎有意愿提前进入本实验室的本科生联系。【首选学校邮箱发信联系，至少应附上以下材料：成绩单、外语成绩（包括但不限于英语四六级）、重要奖项证书等，供参考。】 联系方式：changxb3_at_mail.sysu.edu.cn；
在读硕士
毕业学生
Selected Publications
Consistent Prompting for Rehearsal-Free Continual Learning. Zhanxin Gao, Jun Cen, Xiaobin Chang*. CVPR, 2024. [PDF] [Code] [Bibtex]
IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis. Feng Liu, Xiaobin Chang*. Computational Visual Media Journal (CVMJ), 2024. [PDF] [Code] [Bibtex]
Generalizable Two-Branch Framework for Image Class-Incremental Learning. Chao Wu, Xiaobin Chang*, Ruixuan Wang. ICASSP, 2024. [PDF] [Code] [Bibtex]
Dynamic Residual Classifier for Class Incremental Learning. Xiuwei Chen, Xiaobin Chang*. ICCV, 2023. [PDF] [Code] [Bibtex]
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang*. CVPR, 2022. [PDF] [Code] [Bibtex]
Learning Discriminative Prototypes with Dynamic Time Warping. Xiaobin Chang, Frederick Tung, Greg Mori. CVPR, 2021. [PDF] [Code] [Bibtex]
Disjoint Label Space Transfer Learning with Common Factorised Space. Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales. AAAI, 2019. [PDF] [Bibtex]
Multi-Level Factorisation Net for Person Re-Identification. Xiaobin Chang, Timothy M. Hospedales, Tao Xiang. CVPR, 2018. [PDF] [Bibtex]
Scalable and Effective Deep CCA via Soft Decorrelation. Xiaobin Chang, Tao Xiang, Timothy M Hospedales. CVPR, 2018. [PDF] [Bibtex]
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales. arXiv, 2017. [PDF] [Bibtex]
Deep Multi-View Learning with Stochastic Decorrelation Loss. Xiaobin Chang, Tao Xiang, Timothy M Hospedales. arXiv, 2017. [PDF] [Bibtex]
L1 Graph Based Sparse Model for Label De-noising. Xiaobin Chang, Tao Xiang, Timothy M Hospedales. BMVC Oral, 2016. [PDF] [Bibtex]
Facial skin beautification via sparse representation over learned layer dictionary. Xi Lu, Xiaobin Chang, Xiaohua Xie, Jian-Fang Hu, Wei-Shi Zheng. IJCNN, 2016. [PDF] [Bibtex]
Learning person–person interaction in collective activity recognition. Xiaobin Chang, Wei-Shi Zheng, Jianguo Zhang. IEEE Transactions on Image Processing, 2015. [PDF] [Bibtex]
教学/Teaching
离散数学/Discrete Math （本科课程）
机器学习/Machine Learning（研究生课程）
I love BUGs, Really.
“他那时候还太年轻，不知道所有熬的夜，早已在暗中标好了价格。”