Biography
I am currently pursuing a Ph.D. degree at Shanghai Jiao Tong University, China. I received my B.S. degree from the School of Mathematics and Computational Science at Hunan University of Science and Technology in 2016. I received my M.S. degree from the Institute of Information Engineering，Chinese Academy of Sciences, and the School of Cyber Security at the University of Chinese Academy of Sciences in 2020. I also spent 2 years (2020-2022) at the Chinese University of Hong Kong, Shenzhen as a research associate. My major research interests are focused on self-supervised Learning, UAV tracking and vision-language tracking.[Google Scholar] [Github]
中文简历
张春辉，上海交通大学电子信息与电气工程学院，信息与通信工程博士二年级在读。中国科学院大学网络空间安全学院，计算机技术硕士。湖南科技大学数学学院，信息与计算科学本科。香港中文大学（深圳）访问研究生。研究领域：自监督学习，无人机目标跟踪，视觉-语言目标跟踪。已发表国际期刊与会议论文10篇，其中第一作者或共同一作论文5篇，包括SCI-1区国际期刊IEEE TPAMI、TNNLS，多媒体领域顶会ACM MM, 医学影像顶会MICCAI, 语音顶会ICASSP。曾经获得CVPR 2020 Anti-UAV Challenge第1名，ICCV 2019 VisDrone Task 3 第1名，2018年MathorCup高校数学建模挑战赛研究生组 一等奖，2017年中国研究生数学建模竞赛 一等奖，2014年全国大学生数学建模竞赛本科组 一等奖，2016年湖南省优秀毕业生，2015年国家奖学金。入选2022年上海交通大学卓越工程师后备人才培养专项计划。News
*One paper was published in IEEE TMI 2023.
*One paper has been accepted by ICASSP 2023.
*One paper was published in IEEE TPAMI 2022.
*One paper has been accepted by ACCV 2022.
*One paper has been accepted by MICCAI 2021.
*One paper was published in IEEE TCSVT 2021.
*One paper was published in IEEE TNNLS 2021.
*We won the first prize in Anti-UAV 2020 challenge, CVPRW 2020.
*One paper was accepted in ACM MM 2020.
*We won the first prize in VisDrone 2019 challenge, ICCVW 2019.
Research
Selected research projects and papers.TNNLS 2021: Cascaded Correlation Refinement for Robust Deep Tracking
In this paper, we propose a cascaded correlation refinement approach to facilitate the robustness of deep tracking. Our approach cascades multiple stages of correlation refinement to progressively refine target localization. We introduce an explicit measure to identify the tracking failure and then leverage a simple yet effective look-back scheme to adaptively incorporate the initial model and on-the-fly model to update the tracking model.
[Project] [Paper] [Code]
[Project] [Paper] [Code]
ACM MM 2020: Accurate UAV Tracking with Distance-Injected Overlap Maximization
In this work, we propose distance-injected overlap maximization for accurate UAV tracking. We use distance-injected semantic IoU loss to alleviate the drift problem caused by dual-dynamic disturbances. Furthermore, we conduct feature recalibration network and multi-scale feature concat that improve adaptive feature extraction for UAV targets.
[Project] [Paper] [Code]
[Project] [Paper] [Code]
Publications
Yizhe Zhu*, Chunhui Zhang*, Qiong Liu, Xi Zhou, Audio-driven Talking Head Video Generation with Diffusion Model, ICASSP 2023 (Co-first author) [PDF(arXiv)] [BibTex] [Code]
Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu, Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning, IEEE TMI 2023 [PDF(arXiv)] [BibTex] [Code]
Chunhui Zhang, Yixiong Chen, Li Liu, Qiong Liu, Xi Zhou, HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining, ACCV 2022 [PDF(arXiv)] [BibTex] [Code]
Chunhui Zhang*, Guanjie Huang*, Li Liu, Shan Huang, Yinan Yang, Xiang Wan, Shiming Ge, Dacheng Tao, WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking, IEEE TPAMI 2022 (Co-first author) [PDF(arXiv)] [BibTex] [Project]
Yixiong Chen*, Chunhui Zhang*, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan, USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning, MICCAI 2021 (Co-first author, Oral) [PDF(arXiv)] [BibTex] [Code]
Kangkai Zhang, Chunhui Zhang, Shikun Li, Dan Zeng, Shiming Ge, Student Network Learning via Evolutionary Knowledge Distillation, IEEE TCSVT 2021 [PDF(baidu)] [PDF(google)] [BibTex] [Code]
Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, Dacheng Tao, Cascaded Correlation Refinement for Robust Deep Tracking, IEEE TNNLS 2021 (Student First Author)[PDF(baidu)] [PDF(google)] [BibTex] [Code]
Chunhui Zhang, Shiming Ge, Kangkai Zhang, Dan Zeng, Accurate UAV Tracking with Distance-Injected Overlap Maximization, ACM MM 2020 (Oral) [PDF(baidu)] [PDF(google)] [BibTex] [code]
Shiming Ge, Zhao Luo, Chunhui Zhang, Yingying Hua, Dacheng Tao, Distilling Channels for Efficient Deep Tracking, IEEE TIP 2020 [PDF(baidu)] [PDF(google)] [BibTex]
Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang, Coupled-View Deep Classifier Learning from Multiple Noisy Annotators, AAAI 2020 [PDF(baidu)] [PDF(google)] [BibTex] [Code]
Chunhui Zhang, Shiming Ge, Yingying Hua, Dan Zeng, Robust Deep Tracking with Two-step Augmentation Discriminative Correlation Filters, ICME 2019 [PDF(baidu)] [PDF(google)] [BibTex] [Code]
Awards
Shanghai Jiao Tong University Outstanding Engineer Reserve Talent Training Program, 2022
The First Prize in Anti-UAV 2020 Challenge, CVPR Workshops 2020.
The First Prize in VisDrone 2019 Task 3: Single-object Tracking Challenge, ICCV Workshops 2019.
The First Prize in the Post-graduate Group of the Eighth MathorCup Mathematical Modeling Challenge 2018.
The First Prize in the China Post-graduate Mathematical Contest in Modeling 2017.
The Honor of “Excellent Graduate” of the Hunan Province 2016.
The Second Prize in the American University Students Mathematical Contest in Modeling 2016.
The National Scholarship 2015.
The Second Prize in the National University Students Mathematical Modeling Contest 2015.
The First Prize in the National University Students Mathematical Modeling Contest 2014.
The National Encouragement Scholarship 2013.
Committees or panels
Student Member, IEEE, 2023.
Student Member of Chinese Society of Industrial and Applied Mathematics, 2018-present.
Review experience
A reviewer of the IEEE TNNLS, IEEE TIP, AAAI, ICCV and CVPR, etc.
Support or Contact
andyzhangchunhui@gmail.com