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

D-Index & Metrics

Computer Science

D-Index
97
Citations
44832
World Ranking
418
National Ranking
20

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

Carsten Rother is affiliated with Heidelberg University in Germany and is primarily active in the fields of computer science and engineering. Their research concentrates extensively on computer vision and pattern recognition, artificial intelligence, and applications related to radiology, nuclear medicine, aerospace, and biomedical engineering.

The scientist's work covers several subfields, notably:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Aerospace Engineering
  • Biomedical Engineering

Main topics of research within their publications include:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Robotics and Sensor-Based Localization
  • Advanced Image Processing Techniques

Several recent papers exemplify the range of research contributed by Carsten Rother:

  • "Artificial-intelligence-driven scanning probe microscopy," 2020, Communications Physics
  • "Neural Head Avatars from Monocular RGB Videos," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions," 2020, International Journal of Computer Vision
  • "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)," 2020, arXiv (Cornell University)
  • "BOP Challenge 2020 on 6D Object Localization," 2020, Lecture Notes in Computer Science

Frequent co-authors collaborating with Carsten Rother include:

  • Lynton Ardizzone
  • Ullrich Köthe
  • Bogdan Savchynskyy
  • Eric Brachmann
  • Siddharth Tourani

Publications have been notably featured in venues such as:

  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Lecture Notes in Computer Science

Best Publications

  • "GrabCut": interactive foreground extraction using iterated graph cuts

    Carsten Rother;Vladimir Kolmogorov;Andrew Blake

  • TextonBoost : joint appearance, shape and context modeling for multi-class object recognition and segmentation

    Jamie Shotton;John Winn;Carsten Rother;Antonio Criminisi

  • TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context

    Jamie Shotton;John Winn;Carsten Rother;Antonio Criminisi

  • A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors

    R. Szeliski;R. Zabih;D. Scharstein;O. Veksler

  • Fast Cost-Volume Filtering for Visual Correspondence and Beyond

    A. Hosni;C. Rhemann;M. Bleyer;C. Rother

  • Panoptic Segmentation

    Alexander Kirillov;Kaiming He;Ross Girshick;Carsten Rother

  • PatchMatch Stereo - Stereo Matching with Slanted Support Windows.

    Michael Bleyer;Christoph Rhemann;Carsten Rother

  • Fast cost-volume filtering for visual correspondence and beyond

    Christoph Rhemann;Asmaa Hosni;Michael Bleyer;Carsten Rother

  • Interactive Image Segmentation Using an Adaptive GMMRF Model

    Andrew Blake;Carsten Rother;Matthew A. Brown;Patrick Pérez

  • Learning 6D Object Pose Estimation Using 3D Object Coordinates

    Eric Brachmann;Alexander Krull;Frank Michel;Stefan Gumhold

  • Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs

    C. Rother;T. Minka;A. Blake;V. Kolmogorov

  • DSAC — Differentiable RANSAC for Camera Localization

    Eric Brachmann;Alexander Krull;Sebastian Nowozin;Jamie Shotton

  • Optimizing Binary MRFs via Extended Roof Duality

    C. Rother;V. Kolmogorov;V. Lempitsky;M. Szummer

  • Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image

    Eric Brachmann;Frank Michel;Alexander Krull;Michael Ying Yang

  • Minimizing Nonsubmodular Functions with Graph Cuts-A Review

    V. Kolmogorov;C. Rother

  • Graph cut based image segmentation with connectivity priors

    S. Vicente;V. Kolmogorov;C. Rother

  • A comparative study of energy minimization methods for markov random fields

    Richard Szeliski;Ramin Zabih;Daniel Scharstein;Olga Veksler

  • Image segmentation with a bounding box prior

    Victor Lempitsky;Pushmeet Kohli;Carsten Rother;Toby Sharp

  • Feature Correspondence Via Graph Matching: Models and Global Optimization

    Lorenzo Torresani;Vladimir Kolmogorov;Carsten Rother

  • Bayesian color constancy revisited

    P.V. Gehler;C. Rother;A. Blake;T. Minka

  • Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs.

    C Rother;TP Minka;A Blake;Kolmogorov

Frequent Co-Authors

Andrew Blake
Andrew Blake University of Cambridge
Vladimir Kolmogorov
Vladimir Kolmogorov Institute of Science and Technology Austria
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Christoph Rhemann
Christoph Rhemann Google (United States)
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Victor Lempitsky
Victor Lempitsky Samsung (South Korea)
Michael Ying Yang
Michael Ying Yang University of Bath
Jamie Shotton
Jamie Shotton Microsoft (United States)

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