Tentative School Curriculum

The summer school program consists of 6-day lecture/discussion and 1-day social activities. Students will be grouped to have in-class discussions with the speakers and hands on experience. Informal interactions between faculty and students will be strongly encouraged during daily coffee breaks, lunch/dinner meeting, project discussion, and social activities. We also plan to organize a summer school gala to bring students and speakers together showing off their respective talents. As follows is a detailed list of topics and speakers

Biomedical Imaging and Acquisition

Jim Duncan, Yale: Biomedical image acquisition and analysis

Tracking and Behavior Modeling

Takeo Kanade, Professor, RI/CMU Cell Image Analysis: Algorithms, System and Applications

Robert T. Collins, Associate professor, Pennsylvania State University. Video analysis, Crowd tracking, Segmentation and Detection

Pietro Perona, Professor, Cal Tech, animal tracking and behavior modeling

Serge Belongie, Associate Professor, University of California at San Diego Video analysis, non-rigid motion, shape matching, behavior analysis

Margrit Betke, Boston University, Tracking Bats and Bats Colonies

Yoshiyuki Sankai, University of Tsukuba (Japan), The Hybrid Assistive Limb (HAL)

Bioinformatics and Medical Imagery

Robert Murphy: CMU, Computational Biology

B.S. Manjunath: UCSB, [light] microscopy image analysis, retina connectome

Badri Roysam: UH, [light] microscopy image analysis, farsight toolkits

Zhuowen Tu, UCLA, Brain Anatomical Structure Parsing by Hybrid Discriminative/Generative Models

Yanxi Liu, PSU, Discriminative Subspace Learning in Large, Multi-media Biomedical Image Databases - A Blessing of Dimensionality

Shape analysis, Segmentation and Visualization

Charless Fowlkes, UCI, Automating Biological Image and Shape Analysis

Hanchuan Peng, HHMI, Vaa3D: high-performance visualization & analysis for 3D images

Hanspeter Pfister, Harvard University, EM image segmentation

Yanxi Liu, Penn State, Capturing Near-regular Patterns in Digitized Life Sciences

Computational and Statistical Anatomy

Ron Kikinis (M.D.), BWH/Harvard, Neuroimage: Multimodality high-dimensional deformable registration, 3D slicer (tools), Brain Tumors

Hanchuan Peng, HHMI, High-throughput analysis of microscopic images using 3D digital atlases of model animals

Face, Mood, Expression & Gait Recognition

Rama Chellappa, Minta Martin Professor of Engineering, Director, Center for Automation Research, University of Maryland, College Park, Human gaits

Fernando De la Torre, Associate Research Professor, CMU. Human Sensing, Face Analysis.

Stay tuned for further updates as the date of the school approaches!