Head of the CALVIN research
My research field is computer vision. My current focus is on learning visual concepts with minimal human supervision.
In the past I have worked on several other computer vision problems,
including human pose estimation, learning visual attributes, shape matching, countour-based object class detection, specific object recognition, multi-view wide-baseline stereo, tracking in video.
I lead the CALVIN
research group at the University of Edinburgh, and I am building a new research group at Google Zurich.
Vittorio Ferrari is a Professor at the School of Informatics of the University
Edinburgh, where he leads the CALVIN research group on visual learning. 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 Assistant Professor at ETH Zurich, funded by a
Swiss National Science Foundation Professorship grant. He received the
prestigious ERC Starting Grant, and the best paper award from the European
Conference in Computer Vision, both in 2012. He is the author of over 90
technical publications. He regularly serves as an Area Chair for the major computer vision conferences and he will be a Program Chair for ECCV 2018. He is an Associate Editor of IEEE Pattern Analysis and Machine Intelligence. His current research interests are in weakly supervised learning of object classes, semantic segmentation, and large-scale auto-annotation.