Carsten Rother
RESEARCHER
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I am a Researcher in the Computer Vision Group at Microsoft Research Cambridge/UK. My interests are in the areas:
- (Markov) Random Field Models for Computer Vision and their discrete Optimization
- Vision for Graphics: Image and Video Editing, Manipulation, Segmentation, Synthesis, ...
- and also: Object Recognition, Stereo, 3D reconstruction (mainly during PhD)
Please see links: Code and Data | Talks | Bio
Latest News
- I was award the DAGM Olympus preis 2009.
- Jointly with Pushmeet Kohli and Pawan Kumar I'll give a full day tutorial at ICCV '09 (27.09) on MAP Inference in Discrete Models
- I co-organize a workshop (at ICCV '09) on Color and Reflectance in Vision. Webpage.
- I am lecturer at the Vision and Sports Summer School, ETH Zurich, August 2009
- AutoCollage 2008 is now a product ... click here
- What is the best method for Image Matting? See the new online evaluation webapge with high quality data. Please go here (and also see the related CVPR '09 article)
Extra Information
PhD students I jointly supervise:
Christoph Rhemann (TU Wien) | Sara Vicente (UCL) | Eno Toeppe (Uni Bonn)
Links to work I have been involved in:
- Workshop on interactive computer vision at ICCV '07. Webpage.
If you have any questions, contact me at: 
All Publications
Recent Publications
- Sara Vicente, Vladimir Kolmogorov, and Carsten Rother, Joint optimization of segmentation and appearance models, in ICCV, 2009
- Minh Hoai Nguyen, Lorenzo Torresani, Fernando de la Torre, and Carsten Rother, Weakly supervised discriminative localization and classification: a joint learning process, in ICCV, 2009
- Oliver J. Woodford, Carsten Rother, and Vladimir Kolmogorov, A Global Perspective on MAP Inference for Low-Level Vision, in ICCV, 2009
- Victor Lempitsky, Pushmeet Kohli, Carsten Rother, and Toby Sharp, Image Segmentation with A Bounding Box Prior, in ICCV, 2009
- Christoph Rhemann, Carsten Rother, Jue Wang, Margrit Gelautz, Pushmeet Kohli, and Pamela Rott, A Perceptually Motivated Online Benchmark for Image Matting, in CVPR, 2009
- Carsten Rother, Pushmeet Kohli, Wei Feng, and Jiaya Jia, Minimizing Sparse Higher Order Energy Functions of Discrete Variables, in CVPR, 2009
- Michael Bleyer, Margrit Gelautz, Carsten Rother, and Christoph Rhemann, A Stereo Approach that Handles the Matting Problem via ImageWarping, in CVPR, 2009
- D. Singaraju, Carsten Rother, and Christoph Rhemann, New Appearance Models for Image Matting, in CVPR, 2009
