World's Best Scientists 2026 revealed!
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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
43996
World Ranking
1537
National Ranking
60

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Stefan Roth is affiliated with the Technical University of Darmstadt in Germany. Their work primarily spans the field of Computer Science, with a strong focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology, and Safety, Risk, Reliability and Quality.

Their research interests encompass several main topics:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods

Stefan Roth has contributed to a number of publications across a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • TUbilio (Technical University of Darmstadt)
  • Lecture notes in computer science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Selected recent papers authored or co-authored by Stefan Roth include:

  • "The Cityscapes Dataset for Semantic Urban Scene Understanding," 2024, arXiv (Cornell University)
  • "MOT20: A benchmark for multi object tracking in crowded scenes," 2020, arXiv (Cornell University)
  • "DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "xGQA: Cross-Lingual Visual Question Answering," 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • "Diverse Image Captioning with Context-Object Split Latent Spaces," 2020, arXiv (Cornell University)

The scientist has collaborated frequently with several co-authors, including:

  • Simone Schaub-Meyer
  • Aleš Leonardis
  • Elisa Ricci
  • Olga Russakovsky
  • Torsten Sattler

In addition to articles, Stefan Roth has published a book titled "Comparative analysis of tools for matching work-related skill profiles with CV data and other unstructured data" in 2021 through the University of South Florida.

Best Publications

  • The Cityscapes Dataset for Semantic Urban Scene Understanding

    Marius Cordts;Mohamed Omran;Sebastian Ramos;Timo Rehfeld

  • A Database and Evaluation Methodology for Optical Flow

    Simon Baker;Daniel Scharstein;J. P. Lewis;Stefan Roth

  • Playing for Data: Ground Truth from Computer Games

    Stephan R. Richter;Vibhav Vineet;Stefan Roth;Vladlen Koltun

  • Secrets of optical flow estimation and their principles

    Deqing Sun;Stefan Roth;Michael J. Black

  • MOT16: A Benchmark for Multi-Object Tracking

    Anton Milan;Laura Leal-Taixé;Ian D. Reid;Stefan Roth

  • A Database and Evaluation Methodology for Optical Flow

    S. Baker;D. Scharstein;J.P. Lewis;S. Roth

  • Fields of Experts: a framework for learning image priors

    S. Roth;M.J. Black

  • People-tracking-by-detection and people-detection-by-tracking

    M. Andriluka;S. Roth;B. Schiele

  • Pictorial structures revisited: People detection and articulated pose estimation

    Mykhaylo Andriluka;Stefan Roth;Bernt Schiele

  • Fields of Experts

    Stefan Roth;Michael J. Black

  • MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

    Laura Leal-Taixé;Anton Milan;Ian D. Reid;Stefan Roth

  • A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them

    Deqing Sun;Stefan Roth;Michael J. Black

  • On the Spatial Statistics of Optical Flow

    Stefan Roth;Michael J. Black

  • Continuous Energy Minimization for Multitarget Tracking

    Anton Milan;Stefan Roth;Konrad Schindler

  • Monocular 3D pose estimation and tracking by detection

    Mykhaylo Andriluka;Stefan Roth;Bernt Schiele

  • Shrinkage Fields for Effective Image Restoration

    Uwe Schmidt;Stefan Roth

  • Benchmarking Denoising Algorithms with Real Photographs

    Tobias Plotz;Stefan Roth

  • Tracking loose-limbed people

    L. Sigal;S. Bhatia;S. Roth;M.J. Black

  • MOT20: A benchmark for multi object tracking in crowded scenes.

    Patrick Dendorfer;Hamid Rezatofighi;Anton Milan;Javen Shi

  • UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss.

    Simon Meister;Junhwa Hur;Stefan Roth

Frequent Co-Authors

Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Jürgen Eckert
Jürgen Eckert University of Leoben
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Ludwig Schultz
Ludwig Schultz TU Dresden
Michael Goesele
Michael Goesele Technical University of Darmstadt
Carsten Rother
Carsten Rother Heidelberg University
Uwe Franke
Uwe Franke Daimler (Germany)
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Mykhaylo Andriluka
Mykhaylo Andriluka Google (United States)

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