Deep Learning in Computer Vision
Vijay Chandrasekhar completed his B.S and M.S. from Carnegie Mellon University (2002-2005), and Ph.D. in Electrical Engineering from Stanford University (2006-2013). His research interests include mobile audio and visual search, large-scale image and video retrieval, machine learning and data compression. He has published more than 80 papers/MPEG contributions in a wide range of top-tier journals/conferences and has filed 7 US patents (1 granted, 6 pending). His Ph.D. work on feature compression led to the MPEG-CDVS (Compact Descriptors for Visual Search) standard, which he actively contributed from 2010-2013. He was awarded the A*STAR National Science Scholarship (NSS) in 2002.