Ming-Ming Cheng


Ming-Ming Cheng is an associate professor with CCCE, 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. He has published over 30 papers in leading journals and conferences, such as IEEE TPAMI, ACM TOG, ACM SIGGRAPH, IEEE CVPR, and IEEE ICCV. He has designed a series of popular methods and novel systems, indicated by 5000+ paper citations (1700+ citations to his first author paper on salient object detection). His work has been reported by several famous international media, such as BBC, UK telegraph, Der Spiegel, and Huffington Post.   [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]


My publications could be found here. See also: DBLPGoogleScopusArnetminer, ResearchID, arXiv

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