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Computer Science
Czechia
2026

D-Index & Metrics

Computer Science

D-Index
65
Citations
28505
World Ranking
2396
National Ranking
3

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

Tomas Pajdla is affiliated with the Czech Technical University in Prague, Czech Republic. Their research spans several fields primarily focused on computer science and engineering, with significant contributions in computer vision and pattern recognition.

The scientist has published extensively in areas including:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Computational Mechanics
  • Control and Systems Engineering
  • Computer Graphics and Computer-Aided Design

Pajdla's main topics of work include:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Numerical Analysis Techniques
  • Optical Measurement and Interference Techniques
  • Robotic Mechanisms and Dynamics
  • Computational Geometry and Mesh Generation

Their recent papers cover diverse subjects within these domains. Notable publications include:

  • "Long-Term Visual Localization Revisited," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation," 2021, Robotics and Computer-Integrated Manufacturing
  • "Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator," 2022, IEEE Robotics and Automation Letters
  • "Galois/Monodromy Groups for Decomposing Minimal Problems in 3D Reconstruction," 2022, SIAM Journal on Applied Algebra and Geometry

Pajdla has co-authored work frequently with the following researchers:

  • Timothy Duff
  • Federica Arrigoni
  • Anton Leykin
  • Kathlén Kohn
  • Zuzana Kúkelová

The scientist's publications appear regularly in several venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

In addition to journal and conference publications, Pajdla has contributed to book chapters published by Springer Science+Business Media, including multiple editions of "Computer Vision - ACCV 2020."

Best Publications

  • Robust wide-baseline stereo from maximally stable extremal regions

    Jiri Matas;Ondrej Chum;Martin Urban;Tomás Pajdla

  • 3D with Kinect

    Jan Smisek;Michal Jancosek;Tomas Pajdla

  • NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

    Relja Arandjelovic;Petr Gronat;Akihiko Torii;Tomas Pajdla

  • Robust wide baseline stereo from maximally stable extremal regions

    Jiri Matas;Ondrej Chum;Martin Urban;Tomás Pajdla

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

    Mihai Dusmanu;Ignacio Rocco;Tomas Pajdla;Marc Pollefeys

  • NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

    Relja Arandjelovic;Petr Gronat;Akihiko Torii;Tomas Pajdla

  • A convenient multicamera self-calibration for virtual environments

    Tomás Svoboda;Daniel Martinec;Tomás Pajdla

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • 24/7 place recognition by view synthesis

    Akihiko Torii;Relja Arandjelovic;Josef Sivic;Masatoshi Okutomi

  • Multi-view reconstruction preserving weakly-supported surfaces

    Michal Jancosek;Tomas Pajdla

  • Visual Place Recognition with Repetitive Structures

    Akihiko Torii;Josef Sivic;Toma Pajdla;Masatoshi Okutomi

  • Robust Rotation and Translation Estimation in Multiview Reconstruction

    D. Martinec;T. Pajdla

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

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Visual Place Recognition with Repetitive Structures

    Akihiko Torii;Josef Sivic;Masatoshi Okutomi;Tomas Pajdla

  • Automatic Generator of Minimal Problem Solvers

    Zuzana Kukelova;Martin Bujnak;Tomas Pajdla

  • Epipolar Geometry for Central Catadioptric Cameras

    Tomáš Svoboda;Tomáš Pajdla

  • Avoiding confusing features in place recognition

    Jan Knopp;Josef Sivic;Tomas Pajdla

  • Structure from motion with wide circular field of view cameras

    B. Micusik;T. Pajdla

  • Epipolar Geometry of Panoramic Cameras

    Tomás Svoboda;Tomás Pajdla;Václav Hlavác

  • Estimation of omnidirectional camera model from epipolar geometry

    B. Micusik;T. Pajdla

  • Neighbourhood Consensus Networks

    Ignacio Rocco;Mircea Cimpoi;Relja Arandjelović;Akihiko Torii

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

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

Frequent Co-Authors

Josef Sivic
Josef Sivic Czech Technical University in Prague
Marc Pollefeys
Marc Pollefeys ETH Zurich
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Masatoshi Okutomi
Masatoshi Okutomi Tokyo Institute of Technology
Didier Henrion
Didier Henrion Laboratory for Analysis and Architecture of Systems
Ondrej Chum
Ondrej Chum Czech Technical University in Prague
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Jiri Matas
Jiri Matas Czech Technical University in Prague
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Daphna Weinshall
Daphna Weinshall Hebrew University of Jerusalem

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