Andreas Geiger

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Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
Michael NiemeyerGoogleVerified email at google.com
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
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftVerified email at inf.ethz.ch
Yiyi LiaoZhejiang UniversityVerified email at zju.edu.cn
Torsten SattlerSenior Researcher, Czech Technical University in PragueVerified email at cvut.cz
Michael OechslePhD student, MPI-IS, University of Tuebingen and ETAS GmbH, Bosch GroupVerified email at tuebingen.mpg.de
Sebastian NowozinDeepMindVerified email at deepmind.com
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Ali Osman UlusoyGoogleVerified email at google.com
Fatma GuneyKoc UniversityVerified email at ku.edu.tr
Kashyap ChittaUniversity of TübingenVerified email at uni-tuebingen.de
Aseem BehlUniversity of TübingenVerified email at uni-tuebingen.de
Moritz MenzeLeibniz Universität HannoverVerified email at ipi.uni-hannover.de
Hassan Abu AlhaijaNvidiaVerified email at iwr.uni-heidelberg.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Songyou PengETH Zurich and Max Planck Institute for Intelligent SystemsVerified email at inf.ethz.ch
Julius ZieglerAtlatec GmbHVerified email at atlatec.de
Gernot RieglerUnityVerified email at unity3d.com

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	11059	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	6987	2013
Object Scene Flow for Autonomous Vehicles M Menze, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	1899	2015
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	1553	2019
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	1388	2017
Stereoscan: Dense 3d reconstruction in real-time A Geiger, J Ziegler, C Stiller Intelligent Vehicles Symposium (IV), 2011 IEEE, 963-968, 2011	1283	2011
Which Training Methods for GANs do actually Converge? L Mescheder, A Geiger, S Nowozin International Conference on Machine Learning, 3478-3487, 2018	1132	2018
Efficient large-scale stereo matching A Geiger, M Roser, R Urtasun Computer Vision–ACCV 2010, 25-38, 2011	1024	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	734	2020
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	697	2013
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	674	2017
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	599	2012
Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme B Kitt, A Geiger, H Lategahn Intelligent Vehicles Symposium (IV), 2010 IEEE, 486-492, 2010	574	2010
Adversarial variational bayes: Unifying variational autoencoders and generative adversarial networks L Mescheder, S Nowozin, A Geiger Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	532	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	528	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	507	2017
3d traffic scene understanding from movable platforms A Geiger, M Lauer, C Wojek, C Stiller, R Urtasun IEEE transactions on pattern analysis and machine intelligence 36 (5), 1012-1025, 2014	493	2014
Convolutional occupancy networks S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger European Conference on Computer Vision, 523-540, 2020	453	2020
The numerics of gans L Mescheder, S Nowozin, A Geiger Advances in Neural Information Processing Systems, 1825-1835, 2017	436	2017
Mots: Multi-object tracking and segmentation P Voigtlaender, M Krause, A Osep, J Luiten, BBG Sekar, A Geiger, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	394	2019

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