Ming-Ming Cheng is an associate professor with College of Computer and Control Engineering, Nankai University. He received his PhD degree from Tsinghua University in 2012 under guidance of Prof. Shi-Min Hu, and working closely with Prof. Niloy Mitra. Then he worked as a research fellow for 2 years, working with Prof. Philip Torr in Oxford. Dr. Cheng’s research primarily centers on algorithmic issues in image understanding and processing, including image segmentation, editing, retrieval, etc. [CV]
I’m currently working on image scene analysis, editing, and retrieval. These works are mainly in following aspects: (I) biological motivated salient region detection and segmentation; (II) sketch based image retrieval and composition; (III) interactive image analysis and manipulation; (IV) similar scene elements analysis for smart image manipulation. These works tried to recover parts of scene object level information from images according to biological inspiration, or with the help of simple user assist in sketch form. Such scene object level information includes one or more parts of the following aspects: object of interest regions, object correspondence, region layering, symmetry, repetition, and 3D relations. Ideally, we expect automatic extraction of full 3D information, categories names, attributes, and object relations about the underlying image scene for intelligent image understanding, manipulation, organization, and retrieval. [Research galleries]
Major Honors & Awards
- Aug. 2013: Outstanding Doctoral Dissertations Award from Beijing Municipal Government.
- Jun. 2012: Beijing Municipal Government Award for “Outstanding PhD Graduates”
- Aug. 2011: IBM Ph.D. Fellowship.
- 2010: Scholarship Award for Excellent Doctoral Student funded by Chinese Ministry of Education.
- Dec. 2010: Google PhD Fellowship.
- Closely collaborated research Groups: CG Tsinghua @ Beijing, Torr Vision Group @ Oxford, VGG Group @ Oxford, MSRC I3D Group @ Cambridge,
- Cooperators: Shi-Min Hu, Philip Torr, Niloy J. Mitra, Shahram Izadi, Carsten Rother, Jamie Shotton, Pushmeet Kohli, Ping Tan, Ariel Shamir, Xiaolei Huang
- Useful Resources: Computer Graphics Resource, Computer Graphics, Computer Vision, CV Resource, CV Datasets, DataTang, VALSE, Most cited papers in Computer Vision, The word clock, Submitting to PAMI