I am a Researcher in the Computer Vision Group at Microsoft Research Cambridge/UK. My interests are in the areas:
- Physics-based scene recovery and understanding: 2D/3D Matting, Stereo, Object Recognition, intrinsic images, light estimnation, 3D reconstruction
- (Markov) Random Field Models for Computer Vision and their discrete Optimization
- Vision for Graphics: Image and Video Editing, Manipulation, Segmentation, Synthesis
Please see links: Code and Data | Bio | Talks (slides of tutorials are below)
Contact details:
News
- I launched a new group, together with Shahram Izadi, called I3D: Interactive 3D Technologies
- I am co-organizing a wokshop in Cambridge (28-30 May): At the intersection of Vision, Graphics, Learning and Sensing - Representations and Applications
- Our book: "Markov Random Fields for Vision and Image Processing", MIT Press is now available
- We have uploaded new code for intrsic image estimation, fast and accurate stereo matching (CVPR '11), as well as new code and data for Interactive image segmentation (CVPR '10 paper)
- In CVPR '12 we extend our Decision Tree Field work (ICCV '11) to the continious label space and make inference fast and tractable. Check out the Regression Tree Field paper.
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OPEN POSITIONS:
I am looking for motivated students who wants to pursue a PhD in one of the following topic:
- Microsoft / Max Planck PhD position: 3D understanding --- see flyer
Information
Products
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An extension of GrabCut shipped with Office 2010 (powerpoint, word, outlook, excel) and is called Background Removal ... (see info). Note, a Technical Report is available which discusses details of it.
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AutoCollage 2008 - a Microsoft Research product ... click here
Awards
- Olympus Award 2009
- Best paper award: Learning an Interactive Segmentation system, Indian Conference on Computer Vision, 2011.
- Honorable mention best paper award: Image-based 3D modelling with Eno Toeppe, Martin Oslwald, and Daniel Cremers. ACCV 2010.
- Honorable mention best paper award: Do life-logging technologies support memory for the past? An experimental study. CHI 2007.
- Honorable mention best paper award: Bi-layer segmentation of binocular stereo video. CVPR 2005.
PhD students
Martin Kiefel (MPI Tuebingen) | Frederic Besse (UCL) | Michael Hornacek (TU Vienna) | Eno Toeppe (TU Munich) | Mikhail Sindeyev (Moscow State University) | Uwe Schmitt (TU Darmstadt) | Lena Tretyak (MPI Tuebingen)
Graduated PhD students
Christoph Rhemann (TU Vienna) | Sara Vicente (UCL)
Scientific duties
Editor: PAMI
Area Chair: ECCV 2012, ICCV 2011, DAGM 2010-12, BMVC 2009-12
Reviewer: Siggraph, CVPR, ECCV, ICCV, PAMI, IJCV, Eurographics, BMVC, DAGM, etc.
Teaching
- Advanced Computer Vision Course at Camnbridge Univeristy (Spring 2012)
(slides for all lectutres can be found here)
- Tractable Higher Order Models in Computer Vision (tutorial CVPR '10)
- MAP Inference in Discrete Models at various places: tutorials:
ICCV '09, DAGM '10; Microsoft Moscow Summer School; Sport and Vision Summer
School (ETH zuerich 2009/2010); INRIA Vision and ML Summer School;
Misc Links
- Workshop on interactive computer vision at ICCV '07. see Webpage.
- Workshop on Color and Reflectance in Computer Vision at ICCV '09. see Webage.
All Publications
- Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, and Pushmeet Kohli, Decision Tree Fields, in ICCV, 2011
- Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli, and Carsten Rother, Putting MAP back on the map, in DAGM, 2011
- Michael Bleyer, Christoph Rhemann, and Carsten Rother, PatchMatch Stereo - Stereo Matching with Slanted Support Windows, in BMVC, 2011
- Hannes Nickisch, Carsten Rother, Pushmeet Kohli, and Christoph Rhemann, Learning an Interactive Segmentation System, in BEST PAPER AWARD. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2010, November 2010
- Carsten Rother and Pushmeet Kohli, Sparse Higher Order Functions of Discrete Variables --- Representation and Optimization, no. MSR-TR-2011-45, April 2011
- Carsten Rother, Vladimir Kolmogorov, Yuri Boykov, and Andrew Blake, Interactive Foreground Extraction using graph cut, no. MSR-TR-2011-46, March 2011
- Eno Toeppe, Martin Oswald, Daniel Cremers, and Carsten Rother, Image-based 3D modeling via Cheeger sets, in Asian Conference on Computer Vision (ACCV). HONORABLE MENTION., December 2010
- Peter Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, and Bernhard Schoelkopf, Recovering Intrinsic Images with a Global Sparsity, in Annual Conference on Neural Information Processing Systems (NIPS), 2011
- Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, and Carsten Rother, Regression Tree Fields - An Efficient, Non-parametric Approach to Image Labeling Problems, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, 10 April 2012
