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CALVIN research group

Darr; Skip to Main Content. 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. Vision and Sports Summer School 2016. Our software release for segmentation transfer (CVPR 2012, ECCV 2012) is publicly available again. Release of COCO-Stuff dataset.

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CALVIN research group | calvin.inf.ed.ac.uk Reviews
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Darr; Skip to Main Content. 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. Vision and Sports Summer School 2016. Our software release for segmentation transfer (CVPR 2012, ECCV 2012) is publicly available again. Release of COCO-Stuff dataset.
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2 publications
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7 recent news
8 more news
9 highlights
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CALVIN research group | calvin.inf.ed.ac.uk Reviews

https://calvin.inf.ed.ac.uk

Darr; Skip to Main Content. 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. Vision and Sports Summer School 2016. Our software release for segmentation transfer (CVPR 2012, ECCV 2012) is publicly available again. Release of COCO-Stuff dataset.

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Figure-ground segmentation by transferring window masks | CALVIN research group

http://calvin.inf.ed.ac.uk/our-software-release-for-segmentation-transfer-cvpr-2012-eccv-2012-is-publicly-available-again

Darr; Skip to Main Content. Figure-ground segmentation by transferring window masks. Daniel Kuettel, Matthieu Guillaumin, and Vittorio Ferrari. This software implements the full segmentation pipeline of [1]. It also includes the large-scale segmentation transfer of [2]. It was developed under Linux with Matlab R2011b. There is no guarantee it will run on other configurations. It provides figure-ground segmentation for a test image as described in [1]. Matlab-1.2.1.zip. Weizmann horses data set.

2

Datasets | CALVIN research group

http://calvin.inf.ed.ac.uk/datasets

Darr; Skip to Main Content. Image and Vision Computing, August 2016. What’s the point. TigDog V 1.0. Pascal Objects Eye Tracking (POET) v1.1. ImageNet bounding boxes and segmentations. Results of CVPR 2012. Synchronic Activities Stickmen V 1.0. Youtube-Objects dataset V 2.2. We Are Family Stickmen V 1.02. Idiap/ETHZ Faces and Poses V 1.0. ETHZ PASCAL Stickmen V 1.11. Buffy Pose Classes V 1.0. INRIA Horses V 1.03. Buffy Stickmen V 3.01. ETHZ Shape Classes V 1.2. ETHZ Toys V 1.0. 2017 CALVIN research group.

3

Publications | CALVIN research group

http://calvin.inf.ed.ac.uk/paper-on-visually-grounded-meaning-representations-accepted-to-pami-2016

Darr; Skip to Main Content. H Caesar, J. Uijlings, V. Ferrari. COCO-Stuff: Thing and Stuff Classes in Context. ArXiv preprint, March 2017. L Del Pero, S. Ricco, R. Sukthankar, V. Ferrari. Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video. International Journal of Computer Vision ( IJCV. 121(2), p. 303-325, January 2017. Also available on arXiv. C Silberer, V. Ferrari, M. Lapata. Visually Grounded Meaning Representations. D Modolo, V. Ferrari. Also available on arXiv.

4

Members | CALVIN research group

http://calvin.inf.ed.ac.uk/members

Darr; Skip to Main Content. IPAB, School of Informatics. Edinburgh EH8 9AB, UK. Vferrari AT staffmail DOT ed DOT ac DOT uk. Prof Dr. Vittorio Ferrari. Luo Jie and Barbara Caputo. Nicolas Heess and Yee Whye Teh. Alasdair Clarke and Frank Keller. Carina Silberer and Mirella Lapata. Dr Luca Del Pero. Dr Alexander (Sasha) Vezhnevets. 2017 CALVIN research group.

5

Zurich traffic scenes | CALVIN research group

http://calvin.inf.ed.ac.uk/video-data-from-cvpr-2010-are-publicly-available-again

Darr; Skip to Main Content. Daniel Kuettel, Michael D. Breitenstein, Luc Van Gool, Vittorio Ferrari. Welcome to this release of the Zurich traffic scenes dataset. It consists of two videos (HD, 25 fps, 2×3 hours) with different different crowded, public. Scenes in Zurich (see [1] for more details). This dataset was first published in [1]. Please cite it if you use this dataset. A single zip file with the two videos together with the exact flow features used in [1]. 2017 CALVIN research group.

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Darr; Skip to Main Content. 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. Vision and Sports Summer School 2016. Our software release for segmentation transfer (CVPR 2012, ECCV 2012) is publicly available again. Release of COCO-Stuff dataset.

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