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.
Ph.D., Computer Science, UC Berkeley, 2005
B.A./M.A., Mathematics, Johns Hopkins University, 1994
AI, ML and Natural Language Processing
Producing machines to automate tasks requiring intelligent behavior...
Computer Graphics and Vision
Generating, capturing, representing, rendering and interacting with synthetic and real-world images and video...