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Dr. Chao Ma

Associate Professor (PhD Advisor)

5-504 Software Building, AI Institute, Shanghai Jiao Tong University

800 Dongchuan Road, Shanghai, P. R. China

Email: chaoma(at), chaoma99(at)

Phone: +86-21-34208478

Google Scholar | Github

Openings: Looking for self-motivated students (both PhD and master) and post-docs in CS working with me. For prospective students, please send your resume and transcript to my email.


I am a tenure-track associate professor at Shanghai Jiao Tong University. I advise both PhD and MS students in computer science. Prior to that, I was a postdoc researcher with Australian Centre for Robotic Vision at the University of Adelaide. I completed my PhD study at Shanghai Jiao Tong University in 2016. During the fall of 2013 to the fall of 2015, I was a joint-training PhD student at University of California, Merced. I received bachelor and master degrees from University of Electronic Science and Technology of China in 2008 and 2011 respectively.

I am interested in computer vision and machine learning problems. Typically, I am working on

  • motion and tracking

  • video understanding

  • vision and language

  • image restoration and enhancement

  • virtual digital human

Highlights and News

  • 01/2022, we release the source code of PointAugmenting (CVPR 2021) [code]

  • 09/2021, one paper on 3D point cloud detection is accepted by NeurIPS 2021

  • 07/2021, I will serve as a Senior Program Committee (SPC) member for AAAI 2022

  • 07/2021, one paper is accepted to ICCV 2021

  • 05/2021, our paper about AlphaTrack is accepted to IROS 2021

  • 05/2021, one paper is accepted to ICML 2021

  • 04/2021, I ranked among Chinese highly cited scholars (中国高被引学者)

  • 03/2021, three papers are accepted to CVPR 2021

  • 01/2021, one tracking paper is accepted to TIP

  • 11/2020, we rank first on the nuScenes detection learderboard

  • 11/2020, we rank first on the nuScenes tracking learderboard

  • 11/2020, the journal version of DLST (ECCV 2018) is accepted to TPAMI

  • 11/2020, one tracking paper is accepted to TIP

  • 09/2020, I join the StarTrack program of Microsoft Research Asia (MSRA) (微软亚研院铸星计划)

  • 08/2020, our paper “Cross-Modality 3D Object Detection” is accepted to WACV 2021

  • 07/2020, one tracking paper is accepted to ACM MM 2020

  • 07/2020, three papers are accepted to ECCV 2020

  • 06/2020, our 3D face reconstruction paper won CVPR workshop best paper

  • 03/2020, the journal version of our UDT tracker is accepted to IJCV

  • 01/2020, one MOT paper with end-to-end CRF learning is accepted to TCSVT

  • 10/2019, one tracking paper with knowledge distilling is accepted to TIP

  • 09/2019, I am honered to be sponsored by Shanghai Pujiang Talent Program (上海市浦江人才计划)

  • 07/2019, I am honered to be sponsored by NSFC

  • 05/2019, I was recognized as outstanding reviewer in CVPR 2019

  • 02/2019, four papers are accepted to CVPR 2019

  • 01/2019, I serve as a guest editor of Pattern Recognition Special Issue on Deep Video Analysis [call for paper]

  • 11/2018, I receive an honer for CSIG excellent doctoral dissertation (中国图象图形学学会优博)

  • 10/2018, I will join Shanghai Jiao Tong University as a tenure-track assistant professor in January, 2019

  • 09/2018, our paper “Deep Attentive Tracking via Reciprocative Learning” is accepted to NIPS 2018

  • 07/2018, our paper “Deep Regression Tracking with Shrinkage Loss” is accepted to ECCV 2018

  • 05/2018, the journal version of our HCF tracker (ICCV 2015) is accepted to TPAMI

  • 04/2018, I was recognized as both outstanding reviewer and emergency reviewer in CVPR 2018

  • 02/2018, two papers for VQA and visual tracking are accepted to CVPR 2018

  • 02/2018, the journal version of our LCT tracker (CVPR 2015) is accepted to IJCV

  • 02/2018, I gave a tutorial report on region-based detection and tracking in RVSS 2018, Kiola, Australia

  • 12/2017, I gave a talk at Sichuan University “Online visual tracking via deep regression networks”

  • 07/2017, our paper “CREST: Convolutional RESidula Learning for Visual Tracking” is accepted to ICCV 2017

  • 06/2017, I serve as a guest editor of IEEE Access special issue on sequential data modeling and its emerging applications

  • 04/2017, I received the excellent VALSE webinar award

  • 03/2017, our paper “Video Segmentation via Multiple Granularity Analysis” is accepted to CVPR 2017

  • 12/2016, our paper “Learning a no-reference quality metric for single-image super-resolution” is accepted to CVIU