The CouchPotato Project: Learning Visual Concepts by Watching YouTube
The talk includes research contributions from many colleagues at Google, interns and faculty colleagues: L. Del Pero, I. Essa, L. Fei-Fei, V. Ferrari, M. Grundmann, G. Hartmann, J. Hoffman, A. Karpathy, T. Leung, V. Kwatra, O. Madani, J. Rehg, S. Ricco, S. Shetty, K. Tang, G. Toderici, D. Tsai, J. Yagnik.
Rahul Sukthankar is a scientist at Google Research, an adjunct research professor in the Robotics Institute at Carnegie Mellon and courtesy faculty at UCF. He was previously a senior principal researcher at Intel Labs, a senior researcher at HP/Compaq and research scientist at Just Research. Rahul received his Ph.D. in Robotics from Carnegie Mellon in 1997 and his B.S.E. in Computer Science from Princeton in 1991. His current research focuses on computer vision and machine learning, particularly in the areas of object recognition and video understanding.