Wang

Professor Wang's research interests include computer vision, medical imaging, and machine learning. Recently, his research is focused on developing computational algorithms and software tools for

• understanding the natural images or image sequences by extracting perceptually salient structures,
• constructing statistical models for quantifying the nonrigid shape variation of anatomic structures,
• automatically and interactively segmenting structures of interest from various MR and CT images,
• detecting and recognizing objects of interest from images,
• detecting persons and their actions in videos.

Education

• Ph. D., University of Illinois at Urbana-Champaign (2002)

Selected Publications

• B. C. Munsell, A. Temlyakov, M. Styner, S. Wang. Pre-organizing Shape Instances for Landmark-Based Shape Correspondence, to appear in International Journal of Computer Vision, 2011
• B. C. Munsell, P. Dalal, S. Wang. Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(11):2023-2039, 2008
• J. S. Stahl, S. Wang. Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(3):395-411, 2008
• J. S. Stahl, S. Wang. Edge Grouping Combining Boundary and Region Information, IEEE Transactions on Image Processing, 16(10):2590-2606, 2007
• S. Wang, J. S. Stahl, A. Bailey, M. Dropps. Global Detection of Salient Convex Boundaries, International Journal of Computer Vision, 71(3):337-359, 2007
• S. Wang, T. Kubota, J. M. Siskind, J. Wang. Salient Closed Boundary Extraction with Ratio Contour, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(4):546-561, 2005
• S. Wang, J. M. Siskind. Image Segmentation with Ratio Cut, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(6):675-690, 2003