S. Roth

Publications
Influence

The Cityscapes Dataset for Semantic Urban Scene Understanding

Marius Cordts, Mohamed Omran, +6 authors B. Schiele
Computer Science
IEEE Conference on Computer Vision and Pattern…
6 April 2016

We introduce Cityscapes, a benchmark suite and large-scale dataset to train and test approaches for pixel-level and instance-level semantic labeling. Expand

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A Database and Evaluation Methodology for Optical Flow

S. Baker, D. Scharstein, J. Lewis, S. Roth, Michael J. Black, R. Szeliski
Computer Science
IEEE 11th International Conference on Computer…
1 March 2011

The quantitative evaluation of optical flow algorithms by Barron et al. (1994) led to significant advances in performance. Expand

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Playing for Data: Ground Truth from Computer Games

Stephan R. Richter, Vibhav Vineet, S. Roth, V. Koltun
Computer Science
ECCV
7 August 2016

We present an approach to rapidly creating pixel-accurate semantic label maps for images extracted from modern computer games, with no access to the source code or the content. Expand

Fields of Experts: a framework for learning image priors

S. Roth, Michael J. Black
Computer Science
IEEE Computer Society Conference on Computer…
20 June 2005

We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. Expand

Fields of Experts

S. Roth, Michael J. Black
Mathematics, Computer Science
International Journal of Computer Vision
10 April 2009

We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. Expand

Shrinkage Fields for Effective Image Restoration

U. Schmidt, S. Roth
Computer Science
IEEE Conference on Computer Vision and Pattern…
23 June 2014

We propose shrinkage fields, a random field-based architecture that combines the image model and the optimization algorithm in a single unit. Expand

Continuous Energy Minimization for Multitarget Tracking

A. Milan, S. Roth, K. Schindler
Mathematics, Computer Science
IEEE Transactions on Pattern Analysis and Machine…
2014

In this work, we propose an alternative formulation of multitarget tracking as minimization of a continuous energy that corresponds to a more complete representation of the problem. Expand

Monocular 3D pose estimation and tracking by detection

M. Andriluka, S. Roth, B. Schiele
Computer Science
IEEE Computer Society Conference on Computer…
13 June 2010

Automatic recovery of 3D human pose from monocular image sequences is a challenging and important research topic with numerous applications. Expand

Pictorial structures revisited: People detection and articulated pose estimation

M. Andriluka, S. Roth, B. Schiele
Computer Science
CVPR
20 June 2009

This paper proposes a generic approach based on the pictorial structures framework for non-rigid object detection and articulated pose estimation that outperforms the state of the art on three recently proposed datasets. Expand

Benchmarking Denoising Algorithms with Real Photographs

Tobias Plotz, S. Roth
Computer Science
IEEE Conference on Computer Vision and Pattern…
5 July 2017

We develop a methodology for benchmarking denoising techniques on real photographs by means of real photographs. Expand

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