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Heinz Maier-Leibnitz-Prize 2012

PhD scholarship available

Adolf-Messer-Prize 2011

Masters progam in Visual Computing at TU Darmstadt


Dissertation

High-Order Markov Random Fields for Low-Level Vision. Ph.D. Dissertation, Brown University, May 2007. [pdf, 14.42MB], [abstract]

Journal Papers

Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele. Discriminative Appearance Models for Pictorial Structures. International Journal of Computer Vision (IJCV), 2011. To appear. [publisher pdf], [preprint pdf]

Simon Baker, Daniel Scharstein, J.P. Lewis, Stefan Roth, Michael J. Black, and Richard Szeliski. A database and evaluation methodology for optical flow. International Journal of Computer Vision (IJCV), 92(1):1-31, March 2011. [open access pdf]

Victor Lempitsky, Carsten Rother, Stefan Roth, and Andrew Blake. Fusion moves for Markov random field optimization. IEEE Transactions of Pattern Analysis and Machine Intelligence (PAMI). 32(8):1392-1405, Aug. 2010. [publisher pdf], [preprint pdf, 3.3MB], [abstract]

Stefan Roth and Michael J. Black: Fields of experts. International Journal of Computer Vision (IJCV), 82(2):205-229, April 2009. [publisher pdf], [preprint pdf, 3.5MB], [abstract]

Stefan Roth and Michael J. Black: On the spatial statistics of optical flow. International Journal of Computer Vision (IJCV), 74(1):33–50, August 2007. [publisher pdf], [preprint pdf, 1.8MB], [preprint ps, 9.2MB], [preprint ps.gz, 3.5MB], [abstract]

Christian Schellewald, Stefan Roth, and Christoph Schnörr: Evaluation of a convex relaxation approach to the quadratic assignment of relational object views. Image and Vision Computing (IVC), 25(8):1301-1314, August 2007. [publisher pdf], [abstract]

Conference Papers

Uwe Schmidt and Stefan Roth. Learning rotation-aware features: From invariant priors to equiv- ariant descriptors. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 2012. Oral presentation. To appear. [pdf]

Anton Andriyenko, Konrad Schindler, and Stefan Roth. Discrete-continuous optimization for multi- target tracking. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 2012.To appear. [pdf]

Christoph Vogel, Stefan Roth, and Konrad Schindler. 3D scene flow estimation with a rigid motion prior. In Proc. of the IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, Nov. 2011. [pdf], [IEEE xplore]

Kevin Schelten and Stefan Roth. Connecting non-quadratic variational models and MRFs. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Colorado, June 2011. [pdf], [IEEE xplore]

Uwe Schmidt, Kevin Schelten, and Stefan Roth. Bayesian deblurring with integrated noise estimation. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Colorado, June 2011. [pdf], [code], [IEEE xplore]

Christian Wojek, Stefan Walk, Stefan Roth, and Bernt Schiele. Monocular 3D scene understanding with explicit occlusion reasoning. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Colorado, June 2011. [pdf], [IEEE xplore]

Mykhaylo Andriluka, Paul Schnitzspan, Johannes Meyer, Stefan Kohlbrecher, Karen Petersen, Oskar von Stryk, Stefan Roth, and Bernt Schiele. Vision based victim detection from unmanned aerial vehicles. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010. Oral presentation. [pdf]

Christian Wojek, Stefan Roth, Konrad Schindler, and Bernt Schiele. Monocular 3D scene modeling and inference: Understanding multi-object traffic scenes. In Proc. of the European Conference on Computer Vision (ECCV), Sep. 2010. Oral presentation. [publisher pdf], [preprint pdf]

Uwe Schmidt, Qi Gao, and Stefan Roth. A generative perspective on MRFs in low-level vision. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, June 2010. Oral presentation. [pdf], [supplemental material], [code]

Deqing Sun, Stefan Roth, and Michael J. Black. Secrets of optical flow estimation and their principles. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, June 2010. [pdf], [code]

Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele. Monocular 3D pose estimation and tracking by detection. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, June 2010. Oral presentation. [pdf] [videos & data]

Paul Schnitzspan, Stefan Roth, and Bernt Schiele. Automatic discovery of meaningful object parts with latent CRFs. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, June 2010. [pdf], [supplemental material]

Johannes Meyer, Paul Schnitzspan, Stefan Kohlbrecher, Karen Petersen, Mykhaylo Andriluka, Oliver Schwahn, Uwe Klingauf, Stefan Roth, Bernt Schiele, and Oskar von Stryk. A semantic world model for urban search and rescue based on heterogeneous sensors. In RoboCup International Symposium, 2010. Oral presentation. [pdf]

Michael Adam, Christoph Jung, Stefan Roth, and Guido Brunnett. Real-time stereo-image stitching using GPU-based belief propagation. In Proc. of the Workshop on Vision, Modeling and Visualization (VMV), Braunschweig, Germany, Nov. 2009. [pdf, 920kB]

Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009. Oral presentation. [pdf, 13.4MB], [abstract]

Paul Schnitzspan, Mario Fritz, Stefan Roth, and Bernt Schiele. Discriminative structure learning of hierarchical representations for object detection. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009. [pdf, 9.2MB], [supplemental material, 10.8MB], [abstract]

Deqing Sun, Stefan Roth, J.P. Lewis, and Michael J. Black: Learning optical flow. In Proc. of the European Conference on Computer Vision (ECCV), Oct. 2008. Oral presentation. [pdf, 2.73MB], [abstract]

Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele: People-tracking-by-detection and people-detection-by-tracking. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008. Oral presentation. [pdf, 8.88MB], [abstract], [video 1, 855kB], [video 2, 1.88MB]

Victor Lempitsky, Stefan Roth, and Carsten Rother: FusionFlow: Discrete-continuous optimization for optical flow estimation. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008. [pdf, 2.73MB], [abstract]

Stefan Roth and Michael J. Black: Steerable random fields . In Proc. of the IEEE International Conference on Computer Vision (ICCV), Oct. 2007. Oral presentation. Best paper award of the INI-Graphics Net. [pdf, 1.95MB], [ps, 6.03MB], [ps.gz, 1.28MB], [abstract]

Simon Baker, Daniel Scharstein, J.P. Lewis, Stefan Roth, Michael J. Black, and Richard Szeliski: A database and evaluation methodology for optical flow. In Proc. of the IEEE International Conference on Computer Vision (ICCV), Oct. 2007. [pdf, 1.70MB], [abstract], [benchmark site]

Teodor M. Moldovan, Stefan Roth, and Michael J. Black. Denoising archival films using a learned Bayesian model. In Proc. of IEEE International Conference on Image Processing (ICIP), pp. 2641-2644, Oct. 2006. [pdf, 761kB], [ps, 2.0MB], [ps.gz, 996kB], [abstract]

Stefan Roth and Michael J. Black. Specular flow and the recovery of surface structure. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 1869-1876, June 2006. [pdf, 681kB], [ps, 1.96MB], [ps.gz, 722kB], [abstract]

Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher, and Michael J. Black. Efficient belief propagation with learned higher-order Markov random fields. In A. Leonardis, H. Bischof, and A. Prinz, eds., Proc. of the European Conference on Computer Vision (ECCV), Volume 2, LNCS 3952, pp. 269-282, Springer Verlag, 2006. [pdf, 704kB], [ps, 1.74MB], [ps.gz, 1.01MB], [abstract]

Frank Wood, Stefan Roth, and Michael J. Black: Modeling neural population spiking activity with Gibbs distributions. In Y. Weiss and B. Schölkopf and J. Platt, eds., Advances in Neural Information Processing Systems 18, pp. 1539-1546, 2006. [pdf, 104kB], [ps, 978kB], [ps.gz, 469kB], [abstract]

Stefan Roth and Michael J. Black: On the spatial statistics of optical flow. In Proc. of the IEEE International Conference on Computer Vision (ICCV), vol. 1, pp. 42-49, Oct. 2005. Oral presentation. Honorable Mention for the Marr Prize. [pdf, 1.40MB], [ps, 5.76MB], [ps.gz, 1.71MB], [abstract]

Stefan Roth and Michael J. Black: Fields of experts: A framework for learning image priors. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 860-867, June 2005. Oral presentation. [pdf, 493kB], [ps, 4.88MB], [ps.gz, 3.12MB], [abstract]

Stefan Roth, Leonid Sigal, and Michael J. Black: Gibbs likelihoods for Bayesian tracking. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 886-893, June 2004. [pdf, 327kB], [ps, 2.46MB], [ps.gz, 1.38MB], [abstract]

Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, and Michael Isard: Tracking loose-limbed people. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 421-428, June 2004. [pdf, 716kB], [abstract]

Christian Schellewald, Stefan Roth, and Christoph Schnörr: Evaluation of convex optimization techniques for the weighted graph-matching problem in computer vision. In B. Radig, S. Florczyk, eds., Proc. of the 23rd DAGM-Symposium, LNCS vol. 2191, pp. 361-368, Springer, 2001. [pdf, 185kB], [ps, 505kB], [ps.gz, 130kB], [abstract], [bibTeX]

H.-J. Bender, R. Männer, C. Poliwoda, S. Roth, and M. Walz: Reconstruction of 3D catheter paths from 2D X-ray projections. In C. Taylor and A. Colchester, eds., Proc. MICCAI, LNCS vol. 1679, pp. 981–989, Springer, 1999. [pdf, 460kB], [abstract]

Books

Michael Goesele, Stefan Roth, Arjan Kuijper, Bernt Schiele, and Konrad Schindler, eds. Pattern Recognition, Proceedings of the 32nd DAGM, vol. 6376 of LNCS. Springer, 2010.

Book Chapters

Stefan Roth and Michael J. Black. Fields of experts. In A. Blake, P. Kohli, and C. Rother, eds., Advances in Markov Random Fields for Vision and Image Processing, chapter 19. MIT Press, 2011. To appear.

Stefan Roth and Michael J. Black. Steerable random fields for image restoration. In A. Blake, P. Kohli, and C. Rother, eds., Advances in Markov Random Fields for Vision and Image Processing, chapter 24. MIT Press, 2011. To appear.

Victor Lempitsky, Carsten Rother, Stefan Roth, and Andrew Blake. Fusion move optimization for MRFs with an extensive label space. In A. Blake, P. Kohli, and C. Rother, eds., Advances in Markov Random Fields for Vision and Image Processing, chapter 18. MIT Press, 2011. To appear.

Stefan Roth, Victor Lempitsky, and Carsten Rother: Discrete-continuous optimization for optical flow estimation. In D. Cremers et al., eds., Statistical and Geometrical Approaches to Visual Motion Analysis, LNCS vol. 5604, pp. 1-22, Springer, 2009. [pdf, 6.2MB], [abstract]

Workshop and Other Conference Papers

Anton Andriyenko, Stefan Roth, and Konrad Schindler. An analytical formulation of global occlusion reasoning for multi-target tracking. In Proc. of the 11th IEEE International Workshop on Visual Surveillance (in conjunction with ICCV), Barcelona, Spain, Nov. 2011. [pdf], [IEEE xplore]

Bernt Schiele, Mykhaylo Andriluka, Nikodem Majer, Stefan Roth, and Christian Wojek. Visual people detection – Different models, comparison and discussion. In K. O. Arras and O. Martinez Mozos, eds., Proc. of the ICRA 2009 Workshop on People Detection and Tracking, Kobe, Japan, May 2009. Invited paper. [pdf, 1.4MB], [abstract]

Undergraduate Thesis

Stefan Roth: Analysis of a deterministic annealing method for graph matching and quadratic assignment problems in computer vision. Diploma Thesis, University of Mannheim, May 2001. [pdf, 856kB], [abstract]

Patents

G. Othmezouri, I. Sakata, M. Andriluka, S. Roth, and B. Schiele. Monocular 3D pose estimation and tracking by detection. Patent pending. Filed June 12, 2010.

Technical Reports

Victor Lempitsky, Carsten Rother, Stefan Roth, and Andrew Blake. Fusion moves for Markov random field optimization. Technical Report MSR-TR-2009-60, Microsoft Research, Cambridge, UK, May 2009. [pdf, 2MB], [abstract]

Teodor M. Moldovan, Stefan Roth, and Michael J. Black. Denoising archival films using a learned Bayesian model. Technical Report CS-07-03, Brown University, Department of Computer Science, Providence, Rhode Island, Sept. 2007. [pdf, 752kB], [abstract]

Christian Schellewald, Stefan Roth, and Christoph Schnörr: Performance evaluation of a convex relaxation approach to the quadratic assignment of relational object views. Technical Report 2/2002, University of Mannheim, Computer Science Series, February 2002. [pdf, 576kB], [ps, 768kB], [ps.gz, 196kB],[abstract]

Refereed Abstracts

Michael J. Black and Stefan Roth: On the receptive fields of Markov random fields. Cosyne 2005. [abstract]

Stefan Roth, Fulvio Domini, and Michael J. Black: Specular flow and the perception of surface reflectance. Journal of Vision, 3(9): 413a, 2003. Presented at VisionSciences 2003. [ppt, 1.43MB], [abstract]

Copyright Notice

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