 
Ferrari, Vittorio (19..-.... ; auteur en informatique)
Research Scientist at Google and a Full Professor at the University of   Edinburgh, leading a research group on visual learning in each   institution. He received his PhD from ETH Zurich in 2004 and was a   post-doctoral researcher at INRIA Grenoble in 2006-2007 and at the   University of Oxford in 2007-2008. Between 2008 and 2012 he was an   Assistant Professor at ETH Zurich, funded by a Swiss National Science   Foundation Professorship grant. In 2012 he received the prestigious ERC   Starting Grant, and the best paper award from the European Conference in   Computer Vision. He is the author of over 100 technical publications.   He regularly serves as an Area Chair for the major computer vision   conferences, he will be a Program Chair for ECCV 2018 and a General   Chair for ECCV 2020. He is an Associate Editor of IEEE Pattern Analysis   and Machine Intelligence. His current research interests are in learning   visual models with minimal human supervision, human-machine   collaboration, and semantic segmentation.
Vidéos
Knowledge transfer and human-machine collaboration for training object class detector
Object class detection is a central area of computer vision. It requires recognizing and localizing all objects of predefined set of classes in an image. Detectors are usually trained under
