Chao Ma's Homepage
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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)sjtu.edu.cn, chaoma99(at)gmail.com Phone: +86-21-34208478 |
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.
Biography
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
07/2022, two papers are accepted to ECCV 2022
05/2022, one paper is accepted to IEEE TPAMI
04/2022, I again ranked among Elsevier Chinese highly cited scholars （中国高被引学者）
03/2022, three papers are accepted to CVPR 2022
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 Elsevier 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