Head of the CALVIN research group
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 am leading the CALVIN research group at
ETH Zurich and University of Edinburgh.
Vittorio Ferrari is a Reader at the School of Informatics of the University of Edinburgh which he joined in December 2011. 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. In 2012 he received the prestigious ERC Starting Grant, and the best paper award from the European Conference in Computer Vision for his work on large-scale image auto-annotation. He is the author of over 60 technical publications, most of them in the highest ranked conferences and journals in computer vision and machine learning. He regularly serves as an Area Chair for the major vision conferences and 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.