Andreas Geiger

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Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.edu
Lars MeschederMax Planck Institute for Intelligent System, TübingenVerified email at tue.mpg.de
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 PollefeysDirector of Science, Microsoft HoloLens; Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Michael NiemeyerMax Planck Institute for Intelligent Systems and University of TübingenVerified email at tue.mpg.de
Ali Osman UlusoyMicrosoft HoloLensVerified email at microsoft.com
Torsten SattlerSenior Researcher, Czech Technical University in PragueVerified email at cvut.cz
Fatma GuneyUniversity of OxfordVerified email at robots.ox.ac.uk
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Moritz MenzeLeibniz Universität HannoverVerified email at ipi.uni-hannover.de
Michael OechslePhD student, MPI-IS, University of Tuebingen and ETAS GmbH, Bosch GroupVerified email at tuebingen.mpg.de
Hassan Abu AlhaijaUniversity of HeidelbergVerified email at iwr.uni-heidelberg.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Julius ZieglerAtlatec GmbHVerified email at atlatec.de
Yiyi LiaoUniversity of Tübingen, MPI-ISVerified email at tue.mpg.de
Aseem BehlMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Gernot RieglerAmazonVerified email at amazon.at
Joel JanaiRobert Bosch GmbHVerified email at de.bosch.com

Andreas Geiger

Professor of Computer Science, University of Tübingen and MPI-IS

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	7083	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	4400	2013
Object Scene Flow for Autonomous Vehicles M Menze, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	1282	2015
Stereoscan: Dense 3d reconstruction in real-time A Geiger, J Ziegler, C Stiller Intelligent Vehicles Symposium (IV), 2011 IEEE, 963-968, 2011	1115	2011
Efficient large-scale stereo matching A Geiger, M Roser, R Urtasun Computer Vision–ACCV 2010, 25-38, 2011	904	2011
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	857	2017
Which Training Methods for GANs do actually Converge? L Mescheder, A Geiger, S Nowozin International Conference on Machine Learning, 3478-3487, 2018	584	2018
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	535	2013
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	525	2010
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	501	2019
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	430	2012
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	422	2014
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	398	2017
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	365	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	363	2017
The numerics of gans L Mescheder, S Nowozin, A Geiger Advances in Neural Information Processing Systems, 1825-1835, 2017	317	2017
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	282	2017
Displets: Resolving stereo ambiguities using object knowledge F Guney, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	227	2015
Team AnnieWAY’s entry to the Grand Cooperative Driving Challenge 2011 A Geiger, M Lauer, F Moosmann, B Ranft, H Rapp, C Stiller, J Ziegler IEEE Transactions on Intelligent Transportation Systems (in print), 2012	204*	2012
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	203	2019

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