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

D-Index & Metrics

Computer Science

D-Index
90
Citations
64748
World Ranking
593
National Ranking
26

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

Andreas Geiger is affiliated with the University of Tübingen in Germany and conducts research primarily within computer science and engineering. Their work focuses on various subfields including computer vision and pattern recognition, computational mechanics, computer graphics and computer-aided design, automotive engineering, and artificial intelligence.

The main topics addressed in their research include advanced vision and imaging, 3D shape modeling and analysis, computer graphics and visualization techniques, human pose and action recognition, advanced neural network applications, generative adversarial networks and image synthesis, and autonomous vehicle technology and safety.

Their publication record includes numerous recent papers such as:

  • Computer Vision and Pattern Recognition 2020, 2021, International Journal of Computer Vision
  • Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art, 2020, Foundations and Trends® in Computer Graphics and Vision
  • KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis, 2020, arXiv (Cornell University)

Their frequent coauthors include Kashyap Chitta, Yiyi Liao, Siyu Tang, Michael Niemeyer, and Otmar Hilliges. Publication output is often found in venues such as arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, the IEEE/CVF International Conference on Computer Vision (ICCV), ACM Transactions on Graphics, and the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Andreas Geiger has also contributed to academic literature through book publications, including a work titled Pattern Recognition published by Springer Science+Business Media in 2021.

Best Publications

  • Are we ready for autonomous driving? The KITTI vision benchmark suite

    Andreas Geiger;Philip Lenz;Raquel Urtasun

  • Vision meets robotics: The KITTI dataset

    A Geiger;P Lenz;C Stiller;R Urtasun

  • Occupancy Networks: Learning 3D Reconstruction in Function Space

    Lars Mescheder;Michael Oechsle;Michael Niemeyer;Sebastian Nowozin

  • Object scene flow for autonomous vehicles

    Moritz Menze;Andreas Geiger

  • OctNet: Learning Deep 3D Representations at High Resolutions

    Gernot Riegler;Ali Osman Ulusoy;Andreas Geiger

  • HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.

    Jonathon Luiten;Aljosa Osep;Patrick Dendorfer;Philip H. S. Torr

  • StereoScan: Dense 3d reconstruction in real-time

    Andreas Geiger;Julius Ziegler;Christoph Stiller

  • Efficient large-scale stereo matching

    Andreas Geiger;Martin Roser;Raquel Urtasun

  • Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art

    Joel Janai;Fatma Güney;Aseem Behl;Andreas Geiger

  • Which Training Methods for GANs do actually Converge

    Lars M. Mescheder;Andreas Geiger;Sebastian Nowozin

  • Sparsity Invariant CNNs

    Jonas Uhrig;Nick Schneider;Lukas Schneider;Uwe Franke

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

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

  • A new performance measure and evaluation benchmark for road detection algorithms

    Jannik Fritsch;Tobias Kuhnl;Andreas Geiger

  • Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision

    Michael Niemeyer;Lars Mescheder;Michael Oechsle;Andreas Geiger

  • Convolutional Occupancy Networks

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

  • Automatic camera and range sensor calibration using a single shot

    Andreas Geiger;Frank Moosmann;Omer Car;Bernhard Schuster

  • GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

    Michael Niemeyer;Andreas Geiger

  • MOTS: Multi-Object Tracking and Segmentation

    Paul Voigtlaender;Michael Krause;Aljosa Osep;Jonathon Luiten

  • Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme

    Bernd Kitt;Andreas Geiger;Henning Lategahn

  • GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

    Katja Schwarz;Yiyi Liao;Michael Niemeyer;Andreas Geiger

  • Computer Vision and Pattern Recognition 2020

    Zeynep Akata;Andreas Geiger;Torsten Sattler

Frequent Co-Authors

Marc Pollefeys
Marc Pollefeys ETH Zurich
Raquel Urtasun
Raquel Urtasun University of Toronto
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Carsten Rother
Carsten Rother Heidelberg University
Christoph Stiller
Christoph Stiller Karlsruhe Institute of Technology
Bastian Leibe
Bastian Leibe RWTH Aachen University
Christian Heipke
Christian Heipke University of Hannover
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

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