Alex Berg

Berg’s research concerns computational visual recognition. He has worked on general object recognition in images, action recognition in video, human pose identification in images, image parsing, face recognition, image search, and machine learning for computer vision. He co-organizes the ImageNet Large Scale Visual Recognition Challenge, and has co-organized a series of workshops on large-scale recognition in computer vision. Berg’s Ph.D. at UC Berkeley developed a novel approach to deformable template matching. He is currently a research scientist at Facebook AI Research and was previously a professor at University of North Carolina, Chapel Hill.

Education

Ph.D., Computer Science, UC Berkeley, 2005

B.A./M.A., Mathematics, Johns Hopkins University, 1994