Welcome to the CALVIN research group homepage. We are part of the IPAB institute of the University of Edinburgh.
We research several topics related to learning in computer vision.
Our current focus is on weakly supervised learning of object classes, semantic segmentation, and large-scale auto-annotation.
- One paper on fast video object segmentation accepter to ICCV 2013. The camera-ready version is available online. The source code is available here.
- Release of objectness V2.0. This version provides a faster objectness measure (it takes less than 3 seconds to compute it for a 350 x 500 image) and a tool to visualize objectness maps.
- One paper on global shape priors for segmentation accepted to BMVC 2013. The camera-ready version is available online.
- Vittorio Ferrari's invited talk at Google about large-scale object localization and segmentation
- One paper on energy minimization accepted to CVPR 2013. The camera-ready version is available online.
- Results for our ECCV 2012 paper on segmentation propagation in ImageNet released.
- Best Paper Award at ECCV 2012 for our paper Segmentation Propagation in ImageNet.
- Matthieu Guillaumin received Outstanding Reviewer awards at both BMVC 2012 and ECCV 2012.
- Two CVPR 2012 papers in the top list of a Google reporter
- Vittorio Ferrari received an ERC Starting Grant.