Xue Bai - Welcome to Xue Bai's homepage

	I am currently a Ph.D. student of Professor Guillermo Sapiro, in the Image Processing Lab, Dept. of Electrical & Computer Engineering, University of Minnesota.
	Email:	baixx015@umn.edu
	Tel:	612-626-0898
	Office:	EECS Building 4-134
	Address:	200 Union Street SE Minneapolis, MN 55455-0167, USA

Education

	2005.9 - present: Ph.D. candidate, Electrical & Computer Engineering, University of Minnesota, Twin Cities.
	2001.9 - 2005.7: B.S., Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Research

◊◊◊ Ongoing Project - Fast Interactive Natural Image/Video Segmentation and Matting

The segmentation of natural images and videos is one of the most fundamental and challenging problems in image processing. One of its application is to extract the foreground object out of the cluttered background, and , for example composite it onto a new background without visual artifacts. For complex images, it is often imperative then to incorporate some user intervention, which encodes prior information, into the process. Specifically, the user can draw rough scribbles labeling the regions of interest and then the image/video is automatically segmented.

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Internships

2008.5 - 2008.8: Research intern at Creative Technologies Lab, Adobe Systems, Seattle.

2009.5 - now: Research intern at Creative Technologies Lab, Adobe Systems, Seattle.

Publications

[1] Xue Bai, Guillermo Sapiro, Distancecut: interactive segmentation and matting of images and videos. IEEE ICIP 2007 (International Conference on Image Processing), San Antonio, Texas. [PDF]

[2] Xue Bai, Guillermo Sapiro, A geodesic framework for fast interactive image and video segmentation and matting. IEEE ICCV 2007 (International Conference on Computer Vision), Rio De Janeiro, Brazil. (oral) [PDF]

[3] Xue Bai, Guillermo Sapiro, Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting. International Journal on Computer Vision 2008. [PDF]

[4] Xue Bai, Vladimir Cherkassky, Gender Classification of Human Faces Using Inference through Contradictions. 2008 International Joint Conference on Neural Networks. [PDF]

[5] Xue Bai, Jue Wang, David Simons, Guillermo Sapiro, Video SnapCut: Robust Video Object Cutout Using

Localized Classifiers. ACM Transaction on Graphics (Proc. SIGGRAPH 2009). [Project]