Andreas Geiger

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	All	Since 2019
Citations	69291	58472
h-index	92	87
i10-index	156	151

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Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
Michael NiemeyerGoogleVerified email at google.com
Kashyap ChittaUniversity of TübingenVerified email at uni-tuebingen.de
Yiyi LiaoZhejiang UniversityVerified email at zju.edu.cn
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftVerified email at inf.ethz.ch
Philip LenzResearch Scientist, Bosch Corporate ResearchVerified email at de.bosch.com
Christoph StillerProfessor of Measurement and Control Systems, Karlsruher Institut für TechnologieVerified email at kit.edu
Torsten SattlerSenior Researcher, Czech Technical University in PragueVerified email at cvut.cz
Anpei ChenETH Zürich and University of TübingenVerified email at inf.ethz.ch
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Michael OechsleGoogleVerified email at tuebingen.mpg.de
Songyou PengGoogle DeepMindVerified email at google.com
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Ali Osman UlusoyGoogleVerified email at google.com
Fatma GuneyKoc UniversityVerified email at ku.edu.tr
Aseem BehlUniversity of TübingenVerified email at uni-tuebingen.de
Katja SchwarzPhD Student, University of Tübingen and MPI-ISVerified email at uni-tuebingen.de
Moritz MenzeLeibniz Universität HannoverVerified email at ipi.uni-hannover.de
Frank MoosmannDaimler AGVerified email at daimler.com
Axel SauerBlack Forest LabsVerified email at blackforestlabs.ai

Andreas Geiger

Professor of Computer Science, University of Tübingen and Tübingen AI Center

Verified email at uni-tuebingen.de - Homepage

computer vision machine learning robotics scene understanding


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Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite A Geiger, P Lenz, R Urtasun Computer Vision and Pattern Recognition (CVPR),(Providence, USA), 2012	15715	2012
Vision meets robotics: The KITTI dataset A Geiger, P Lenz, C Stiller, R Urtasun The International Journal of Robotics Research 32 (11), 1231-1237, 2013	10204	2013
Occupancy networks: Learning 3d reconstruction in function space L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	2969	2019
Object Scene Flow for Autonomous Vehicles M Menze, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	2566	2015
Octnet: Learning deep 3d representations at high resolutions G Riegler, A Osman Ulusoy, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	1841	2017
Which Training Methods for GANs do actually Converge? L Mescheder, A Geiger, S Nowozin International Conference on Machine Learning, 3478-3487, 2018	1661	2018
Stereoscan: Dense 3d reconstruction in real-time A Geiger, J Ziegler, C Stiller Intelligent Vehicles Symposium (IV), 2011 IEEE, 963-968, 2011	1441	2011
Tensorf: Tensorial radiance fields A Chen, Z Xu, A Geiger, J Yu, H Su European Conference on Computer Vision, 333-350, 2022	1163	2022
Efficient large-scale stereo matching A Geiger, M Roser, R Urtasun Computer Vision–ACCV 2010, 25-38, 2011	1119	2011
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art J Janai, F Güney, A Behl, A Geiger Foundations and Trends® in Computer Graphics and Vision 12 (1–3), 1-308, 2020	1092	2020
Convolutional occupancy networks S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger European Conference on Computer Vision, 523-540, 2020	1006	2020
Sparsity invariant cnns J Uhrig, N Schneider, L Schneider, U Franke, T Brox, A Geiger 2017 International Conference on 3D Vision (3DV), 11-20, 2017	990	2017
Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision M Niemeyer, L Mescheder, M Oechsle, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	981	2020
Giraffe: Representing scenes as compositional generative neural feature fields M Niemeyer, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	960	2021
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis K Schwarz, Y Liao, M Niemeyer, A Geiger Advances in Neural Information Processing Systems 33, 2020	847	2020
A multi-view stereo benchmark with high-resolution images and multi-camera videos T Schops, JL Schonberger, S Galliani, T Sattler, K Schindler, M Pollefeys, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	842	2017
A new performance measure and evaluation benchmark for road detection algorithms J Fritsch, T Kuehnl, A Geiger 16th International IEEE Conference on Intelligent Transportation Systems …, 2013	839	2013
Automatic camera and range sensor calibration using a single shot A Geiger, F Moosmann, Ö Car, B Schuster 2012 IEEE International Conference on Robotics and Automation, 3936-3943, 2012	764	2012
Hota: A higher order metric for evaluating multi-object tracking J Luiten, A Osep, P Dendorfer, P Torr, A Geiger, L Leal-Taixé, B Leibe International journal of computer vision 129, 548-578, 2021	741	2021
Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps C Reiser, S Peng, Y Liao, A Geiger Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	719	2021

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