Herve Jegou. I am a researcher employed by Inria. I am a former student of the Ecole Normale Superieure de Cachan, holding a M.S. (2002) and PhD (2005) from University of Rennes I. During my PhD, I worked on error-resilient compression and joint source channel coding. After that, I turned out to Computer Vision and Pattern Recognition. I joined the LEAR group (INRIA Grenoble) as a permanent researcher in 2006, and moved to INRIA Rennes in 2009. My work is mainly focused on computer vision, with most of my contributions focused on large scale indexing techniques (vectors/images/video), focusing on compressed-domain search techniques that scale from millions to billions of vectors/images such as product quantization, that I proposed to search in a compressed set of vectors without decompressing it. Projects VIAMASS, 2015-2019. Students and collaborators Post-docs Ronan Sicre, 2014-,Andrei Bursuc, 2014-,Giorgos Tolias, 2013-,Wanlei Zhao, 2012-2013, co-advised with G. Ph.D. students Visiting PhD students.
Zisserman Visual Geometry Group. Nearest Neighbors and Similarity Search. Princeton Weidong. LSHKIT.