aberg (at) cs.unc.edu
(134) Ph.D. UC Berkeley, 2005. Computer vision, machine learning, recognition, detection, large-scale learning for computer vision, machine-learning analysis of fmri.
Alex Berg is an assistant professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. His research concerns computational visual recognition. Alex 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.
Before joining the Department of Computer Science in 2013, he was on the faculty at Stony Brook University, a research scientist at Columbia University, and a research scientist at Yahoo! Research. His Ph.D. at the University of California, Berkeley developed a novel approach to deformable template matching. He earned a B.A. and M.A. in Mathematics from Johns Hopkins University and learned to race sailboats at the Severn Sailing Association in Annapolis.