Head of the CALVIN research
My research field is computer vision. My current focus is on learning visual models 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 a research group at Google Zurich.
Vittorio Ferrari is a Professor at the School of Informatics of the University of Edinburgh and a Research Scientist at Google, 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 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, 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, object detection, and semantic segmentation.