World's Best Scientists 2026 revealed!
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Computer Science
Czechia
2026

D-Index & Metrics

Computer Science

D-Index
56
Citations
14697
World Ranking
4022
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Czechia Leader Award
  • 2025 - Research.com Computer Science in Czechia Leader Award
  • 2022 - Research.com Computer Science in Czechia Leader Award

Overview

Torsten Sattler is affiliated with the Czech Technical University in Prague, Czech Republic. Their research spans the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Geology, and Computer Graphics and Computer-Aided Design.

The main topics of their work include:

  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Optical measurement and interference techniques

Torsten Sattler has contributed scholarly papers to a variety of publication venues, among which are:

  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture Notes in Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Several recent notable papers by Sattler include:

  • "Computer Vision and Pattern Recognition 2020," 2021, International Journal of Computer Vision
  • "Long-Term Visual Localization Revisited," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction," 2022, arXiv (Cornell University)
  • "Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis," 2020, International Journal of Computer Vision
  • "Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes," 2024, ACM Transactions on Graphics

Frequent collaborators include researchers such as Zuzana Kúkelová, Fredrik Kahl, Aleš Leonardis, Elisa Ricci, and Stefan Roth, with collaboration counts ranging up to 18 joint works.

Torsten Sattler has also contributed to book publications, including the title "Pattern Recognition," published in 2021 by Springer Science+Business Media.

Best Publications

  • D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

    Mihai Dusmanu;Ignacio Rocco;Tomas Pajdla;Marc Pollefeys

  • A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos

    Thomas Schops;Johannes L. Schonberger;Silvano Galliani;Torsten Sattler

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • Fast image-based localization using direct 2D-to-3D matching

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Image-Based Localization Using LSTMs for Structured Feature Correlation

    F. Walch;C. Hazirbas;L. Leal-Taixe;T. Sattler

  • InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Understanding the Limitations of CNN-Based Absolute Camera Pose Regression

    Torsten Sattler;Qunjie Zhou;Marc Pollefeys;Laura Leal-Taixe

  • MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

    Unknown

  • BAD SLAM: Bundle Adjusted Direct RGB-D SLAM

    Thomas Schops;Torsten Sattler;Marc Pollefeys

  • Comparative Evaluation of Hand-Crafted and Learned Local Features

    Johannes L. Schonberger;Hans Hardmeier;Torsten Sattler;Marc Pollefeys

  • Image Retrieval for Image-Based Localization Revisited.

    Torsten Sattler;Tobias Weyand;Bastian Leibe;Leif Kobbelt

  • Improving image-based localization by active correspondence search

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization

    Simon Lynen;Torsten Sattler;Michael Bosse;Joel A. Hesch

  • Semantic Visual Localization

    Johannes L. Schonberger;Marc Pollefeys;Andreas Geiger;Torsten Sattler

  • Computer Vision and Pattern Recognition 2020

    Zeynep Akata;Andreas Geiger;Torsten Sattler

  • Scalable 6-DOF Localization on Mobile Devices

    Sven Middelberg;Torsten Sattler;Ole Untzelmann;Leif Kobbelt

  • 3d visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection

    Christian Häne;Lionel Heng;Gim Hee Lee;Friedrich Fraundorfer

  • SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

    Torsten Sattler;Akihiko Torii;Josef Sivic;Marc Pollefeys

  • Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

    Paul-Edouard Sarlin;Ajaykumar Unagar;Mans Larsson;Hugo Germain

  • InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

    Akihiko Torii;Hajime Taira;Josef Sivic;Marc Pollefeys

Frequent Co-Authors

Marc Pollefeys
Marc Pollefeys ETH Zurich
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Tomas Pajdla
Tomas Pajdla Czech Technical University in Prague
Josef Sivic
Josef Sivic Czech Technical University in Prague
Andreas Geiger
Andreas Geiger University of Tübingen
Leif Kobbelt
Leif Kobbelt RWTH Aachen University
Masatoshi Okutomi
Masatoshi Okutomi Tokyo Institute of Technology
Laura Leal-Taixé
Laura Leal-Taixé Technical University of Munich
Bastian Leibe
Bastian Leibe RWTH Aachen University

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