World's Best Scientists 2026 revealed!
Marc Pollefeys

Marc Pollefeys

Award Badge
Computer Science
Switzerland
2026

D-Index & Metrics

Computer Science

D-Index
125
Citations
59633
World Ranking
117
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2012 - IEEE Fellow For contributions to three-dimensional computer vision

Overview

Marc Pollefeys is affiliated with ETH Zurich in Switzerland and has contributed extensively to the fields of computer science and engineering. Their research spans multiple subfields, with a particular focus on computer vision and pattern recognition.

The main fields of study for Marc Pollefeys include:

  • Computer Science
  • Engineering

Key subfields within their research are:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

The primary topics covered by their work include:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Computer Graphics and Visualization Techniques
  • Advanced Neural Network Applications

Recent publications reflect their focus on advanced imaging, localization, and 3D modeling techniques. Notable papers include:

  • "NICE-SLAM: Neural Implicit Scalable Encoding for SLAM," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Long-Term Visual Localization Revisited," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Pixel-Perfect Structure-from-Motion with Featuremetric Refinement," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "HoloLens 2 Research Mode as a Tool for Computer Vision Research," 2020, arXiv (Cornell University)
  • "Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Marc Pollefeys has collaborated frequently with several co-authors, including:

  • Dániel Baráth
  • Martin R. Oswald
  • Viktor Larsson
  • Hermann Blum
  • Songyou Peng

The venues where Marc Pollefeys has published notably include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Robotics and Automation Letters

In addition to articles, the scientist has authored a book titled 3-D Modeling from Images published by Wiley in 2020.

Among various recognitions, Marc Pollefeys was named IEEE Fellow in 2012 for contributions to three-dimensional computer vision.

Best Publications

  • Pixelwise View Selection for Unstructured Multi-View Stereo

    Johannes L. Schönberger;Enliang Zheng;Jan Michael Frahm;Marc Pollefeys;Marc Pollefeys

  • Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters

    Marc Pollefeys;Reinhard Koch;Luc Van Gool

  • Visual Modeling with a Hand-Held Camera

    Marc Pollefeys;Luc Van Gool;Maarten Vergauwen;Frank Verbiest

  • Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters

    M. Pollefeys;R. Koch;L. Van Gool

  • Detailed Real-Time Urban 3D Reconstruction from Video

    M. Pollefeys;D. Nistér;J. M. Frahm;A. Akbarzadeh

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

    Mihai Dusmanu;Ignacio Rocco;Tomas Pajdla;Marc Pollefeys

  • NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

    Unknown

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

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

  • PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms

    Lorenz Meier;Dominik Honegger;Marc Pollefeys

  • Convolutional Occupancy Networks

    Songyou Peng;Michael Niemeyer;Lars M. Mescheder;Marc Pollefeys

  • Building Rome on a cloudless day

    Jan-Michael Frahm;Pierre Fite-Georgel;David Gallup;Tim Johnson

  • USAC: A Universal Framework for Random Sample Consensus

    R. Raguram;O. Chum;M. Pollefeys;J. Matas

  • SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK

    Timo Hackel;Nikolay Savinov;Lubor Ladicky;Jan Dirk Wegner

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus

    Rahul Raguram;Jan-Michael Frahm;Marc Pollefeys

  • A General Framework for Motion Segmentation : Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate

    Jingyu Yan;Marc Pollefeys

  • PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision

    Lorenz Meier;Petri Tanskanen;Lionel Heng;Gim Hee Lee

  • City-scale landmark identification on mobile devices

    David M. Chen;Georges Baatz;Kevin Koser;Sam S. Tsai

  • PIXHAWK: A system for autonomous flight using onboard computer vision

    Lorenz Meier;Petri Tanskanen;Friedrich Fraundorfer;Marc Pollefeys

  • Pulling Things out of Perspective

    L'ubor Ladický;Jianbo Shi;Marc Pollefeys

  • Multiple view geometry

    Anders Heyden;Marc Pollefeys

Frequent Co-Authors

Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Jan-Michael Frahm
Jan-Michael Frahm University of North Carolina at Chapel Hill
Friedrich Fraundorfer
Friedrich Fraundorfer Graz University of Technology
Reinhard Koch
Reinhard Koch Kiel University
Gim Hee Lee
Gim Hee Lee National University of Singapore
Sudipta N. Sinha
Sudipta N. Sinha Microsoft (United States)
Christopher Zach
Christopher Zach Chalmers University of Technology
Andreas Geiger
Andreas Geiger University of Tübingen

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