CHAO MA Ph.D.

Senior Research Associate

406 Engineering & Math Building

The University of Adelaide

Adelaide, SA 5005, Australia

Email: chaoma99(at)gmail.com, c.ma(at)adelaide.edu.au

BIOGRAPHY:

I am a postdoc researcher with Australian Centre for Robotic Vision at The University of Adelaide. I am working with Prof. Chunhua Shen and Prof. Ian Reid. I am also closely working with Prof. Anton van den Hengel. Prior to that, I completed my Ph.D. study at Shanghai Jiao Tong University under the supervision of Prof. Xiaokang Yang in 2016. During the fall of 2013 to the fall of 2015, I was supported by China Scholarship Council and working with Prof. Ming-Husan Yang as a joint-training Ph.D. student in University of California at Merced. I received B. E. and M. E. 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 (1) Visual question answering; (2) Visual object tracking; (3)Single-image super-resolution; and (4) Sketch image retrieval (recognition).

News:

Jul 2017: Our paper "CREST: Convolutional RESidula Learning for Visual Tracking" will appear in ICCV 2017
Jun 2017: I serve as a guest editor of IEEE Access special issue on sequential data modeling and its emerging applications [CFP]
Apr 2017: I receive an award for my presentation in the VALSE webinar [presentation] [award]
Mar 2017: Our paper "Video Segmentation via Multiple Granularity Analysis" will appear in CVPR 2017
Dec 2016: Our work "Learning a no-reference quality metric for single-image super resolution" will appear in CVIU

PUBLICATIONS:

Google Scholar

	Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau, and Ming-Hsuan Yang, "CREST: Convolutional RESidula Learning for Visual Tracking," accepted in IEEE International Conference on Computer Vision (*ICCV*), 2017. [paper][code coming soon]
	Rui Yang, BingBing Ni, Chao Ma, Yi Xu, and Xiaokang Yang, "Video Segmentation via Multiple Granularity Analysis, " in IEEE Conference on Computer Vision and Pattern Recognition (*CVPR*), 2017. [paper][code coming soon]
	Chao Ma, Chih-Yuan Yang, Xiaokang Yang, and Ming-Hsuan Yang, "Learning a No-reference Quality Metric for Single-Image Super-Resolution, " Computer Vision and Image Understanding (*CVIU*), 2017. [project][code][paper][arxiv]
	Yichao Yan, Bingbing Ni, Zhichao Song, Chao Ma, Yan Yan, and Xiaokang Yang, "Person Re-Identification via Recurrent Feature Aggregation," in European Conference on Computer Vision (*ECCV*), 2016. [paper][code][data file]
	Chao Ma, Yi Xu, Bingbing Ni, and Xiaokang Yang, "When Correlation Filters Meet Convolutional Neural Networks for Visual Tracking," IEEE Signal Processing Letters (*SPL*), 2016. [paper][supplementary]
	Chao Ma, Xiaokang Yang, Chongyang Zhang, Xiang Ruan, and Ming-Hsuan Yang, "Sketch Retrieval via Local Dense Stroke Features," Image and Vision Computing (*IVC*), 2016. [paper][conference version]
	Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang, "Hierarchical Convolutional Features for Visual Tracking," in International Conference on Computer Vision (ICCV), 2015. [project][code][paper][slide]
	Chao Ma, Xiaokang Yang, Chongyang Zhang, and Ming-Hsuan Yang, "Long-term Correlation Tracking," in IEEE Conference on Computer Vision and Pattern Recognition (*CVPR*), 2015. [project][code][paper]
	Chao Ma, Xiaokang Yang, Chongyang Zhang, and Ming-Hsuan Yang, "Learning A Temporally Invariant Representation for Visual Tracking," in IEEE International Conference on Image Processing (*ICIP), 2015. (Top 10% Paper)* [project][code][paper]
	Chih-Yuan Yang, Chao Ma, and Ming-Hsuan Yang, "Single Image Super-Resolution: A Benchmark," in European Conference on Computer Vision (*ECCV*), 2014. [project][code][paper]
	Chao Ma, Xiaokang Yang, Chongyang Zhang, Xiang Ruan, and Ming-Hsuan Yang, "Sketch Retrieval via Dense Stroke Features," in British Machine Vision Conference (BMVC), 2013. [paper][abstract][supplementary][poster]