ANDREAS GEIGER
Prof. Dr.-Ing. Andreas Geiger | Maria-von-Linden-Str. 6 | 72076 Tübingen | Germany

T (+49) 7071 29 70834 | B a.geiger@uni-tuebingen.de | m www.cvlibs.net
EMPLOYMENTUniversity of Tübingen, Germany
from March 2018 - now
Full Professor, Department of Computer Science, Autonomous Vision GroupMPI for Intelligent Systems, Tübingen, Germany
from June 2016 - February 2018
Independent Max-Planck Research Group Leader, Autonomous Vision GroupETH Zürich, Switzerlandfrom September 2016 - February 2018
Visiting Professor, Computer Vision and Geometry Group (interim for Marc Pollefeys)
MPI for Intelligent Systems, Tübingen, Germany
Research Scientist & Group Leader, Perceiving Systems Department

June 2013 - May 2016

Karlsruhe Institute of Technology, Germany
September 2008 - May 2013
Research and Teaching Assistant, Department of Measurement and Control Systems

EDUCATION
Karlsruhe Institute of Technology, Germany
September 2008 - April 2013
Ph.D. in Computer Vision, Department of Measurement and Control Systems
Ph.D. Thesis: Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
Advisors: Christoph Stiller, Raquel Urtasun
Grade: 1.0/1.0 (awarded with distinction)
Massachusetts Institute of Technology, USA
July 2008
Master Thesis: Human Body Tracking with Rank Priors for Non-Linear Dimensionality Reduction
Advisors: Trevor Darrell, Raquel Urtasun, Rainer Stiefelhagen
Grade: 1.0/1.0
Ecole Polytechnique Fédérale de Lausanne, Switzerland
Bachelor Thesis: Automatic Multiple Camera Calibration
Advisors: Pascal Fua, Vincent Lepetit
Grade: 1.0/1.0
Karlsruhe Institute of Technology, Germany
Department of Computer Science and Mathematics
Computer Science: Diploma
Grade: 1.0/1.0 (awarded with distinction, ranked #4/247)

February 2006

October 2003 - July 2008

INTERNATIONAL AND RESEARCH EXPERIENCE
Visiting Researcher
TTI Chicago (with Raquel Urtasun)

June - July 2010, July 2011, June 2012

Visiting Researcher
ETH Zürich (with Marc Pollefeys)
Research AssistantKarlsruhe Institute of Technology (with Christoph Stiller)
Visiting Student
Massachusetts Institute of Technology (with Trevor Darrell)

March - May 2010
September 2008 - February 2013
February - July 2008

Visiting Student
September 2005 - February 2006
Ecole Polytechnique Fédérale de Lausanne (with Pascal Fua and Vincent Lepetit)

TEACHING EXPERIENCE
University of Tübingen: Computer Vision
Lecturer (150 students)
University of Tübingen: Deep Learning
Lecturer (250 students)

April 2021 - July 2021
November 2020 - March 2021

University of Tübingen: ML in Graphics and Vision
Lecturer (50 students)
University of Tübingen: Self-driving Cars
Lecturer (80 students)

April 2020 - July 2020
October 2019 - February 2020

University of Tübingen: ML in Graphics and Vision
Lecturer (50 students)
University of Tübingen: Self-driving Cars
Lecturer (50 students)

April 2019 - July 2019
October 2018 - February 2019

University of Tübingen: ML in Graphics and Vision
Lecturer (40 students)
ETH Zürich: Computer Vision
Lecturer (170 students)
ETH Zürich: 3D Vision
Lecturer (50 students)
ETH Zürich: Computer Vision
Lecturer (120 students)

April 2018 - July 2018
September 2017 - December 2017
February 2017 - June 2017
September 2016 - December 2016

University of Tübingen: Graphical Models in Computer Vision
Lecturer (30 students)

April 2016 - July 2016

University of Tübingen: Graphical Models in Computer Vision Oct. 2014 - March 2015
Lecturer (30 students)
KIT: Measurement and Control Systems
Interim Lecturer and Teaching Assistant (600 students)

April 2009 - March 2010

KIT: Measurement Systems: Practical Courses
Teaching Assistant (groups of 6 students)

September 2008 - March 2010

STUDENT SUPERVISION
Katrin Renz, Ph.D. Student
Few-shot learning for Self-Driving
Joo Ho Lee, PostDoc
Learning Physically Accurate Room-Scale Reconstructions

May 2021 - now
August 2020 - now

Axel Sauer, Ph.D. Student
Learning Causal Representations for Self-Driving

April 2020 - now

Christian Reiser, Ph.D. Student
Meta Learning for 3D Geometry and Material Estimation

April 2020 - now

Fabio Tosi, Ph.D. Intern (University of Bologna)
Efficient, Accurate and High-Resolution Stereo Matching

April 2020 - November 2020

Kashyap Chitta, Ph.D. Student
Interpretable Representations for End-to-End Self-Driving

September 2019 - now

Songyou Peng, Ph.D. Student (ETH Zürich)
Implicit Representations for 3D Reconstruction

September 2019 - now

Xu Chen, Ph.D. Student (ETH Zürich)Photorealistic Human Representations

May 2019 - now

Katja Schwarz, Ph.D. Student
3D Controllable Image Synthesis

July 2019 - now

Michael Niemeyer, Ph.D. Student
Continuous Representations for Shape and Motion
Michael Oechsle, Ph.D. Student (ETAS)
Deep Generative Texture Synthesis

October 2018 - now
November 2017 - now

Carolin Schmitt, P1h.D. Student
July 2017 - now
Learning Models for inferring Geometry, Materials and Light from RGB-D Videos
Despoina Paschalidou, Ph.D. Student
Learning Deep Models with Primitive-Based Representations

April 2017 - now

Yiyi Liao, Ph.D. Intern
October 2016 - now
Deep Layered Models for Semantic 3D to 2D Label Transfer in Dynamic Urban Scenes
Aseem Behl, Ph.D. Student
Deep Semantic Scene Flow
Benjamin Coors, Ph.D. Student (Robert Bosch GmbH)
Invariances in Deep Learning

August 2016 - August 2020
September 2016 - August 2019

Lars Mescheder, Ph.D. Student
August 2016 - January 2020
Accurate Reconstruction of Lights, Materials and 3D Geometry from RGB, Depth and Motion
Gernot Riegler, Ph.D. Intern (TU Graz)
July 2016 - December 2016
Deep Models for 3D Classification, Pose Estimation, Segmentation and Reconstruction
Joël Janai, Ph.D. Student
Learning Optical Flow from Slow Motion Videos

July 2015 - December 2019

Fatma Güney, Ph.D. Student
Semantic 3D Scene Understanding from Videos

August 2013 - October 2017

Jun Xie, Ph.D. Intern (University of Washington)
Large-scale Instance-Level Semantic Annotation

June 2014 - December 2014

Chen Zhou, Ph.D. Intern (Peking University)
3D Reconstruction from Fisheye Video Sequences

May 2014 - November 2014

Moritz Menze, Ph.D. Intern (University of Hannover)
3D Scene Flow Estimation

March 2014 - August 2014

AWARDS AND SCHOLARSHIPSCVPR Best Student Paper AwardIEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle

June 2024

10-Year Impact Award
Sage Publications Ltd

June 2024

3DV Best Paper Award, Honorable Mention
International Conference on 3D Vision, Davos, Switzerland

March 2024

nuPlan Challenge WinnerInternational Conference on Computer Vision and Pattern Recognition, Vancouver

June 2023

Longuet-Higgins Prize
June 2022
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), New Orleans

Mark Everingham Prize
International Conference on Computer Vision, Virtual

October 2021

Facebook Research Award
Facebook Reality Labs

October 2021

Teaching Award for Lecture “Computer Vision”
Department of Computer Science, University of Tübingen

July 2021

CVPR Best Paper AwardIEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Virtual

June 2021

AI2000 - 100 Most Influential Scholars in Computer Vision
Tsinghua AMiner

April 2020+2021

Junge Elite - Top 40 unter 40
Capital Business Journal, Gruner + Jahr, Germany

September 2019

ERC Starting Grant
European Research Council (ERC)

August 2019

CVPR Best Paper Finalist (2 Papers)
June 2019
International Conference on Computer Vision and Pattern Recognition, Long Beach, USA
IEEE PAMI Young Researcher Award
June 2018
International Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA
Outstanding Reviewer Award
Neural Information and Processing Systems, Long Beach, USA

December 2017

3DV Best Student Paper AwardInternational Conference on 3D Vision, Qingdao, China
German Pattern Recognition Prize
German Conference on Pattern Recognition, Basel, Switzerland

October 2017
September 2017

Heinz Maier-Leibnitz Prize
Deutsche Forschungsgemeinschaft (DFG)

May 2017

Outstanding Reviewer Award
June 2016
International Conference on Computer Vision and Pattern Recognition, Las Vegas, USA
3DV Best Paper AwardInternational Conference on 3D Vision, Lyon, France

October 2015

GCPR Best Paper Award
German Conference on Pattern Recognition, Aachen, Germany

October 2015

Associate Member of the Max Planck ETH Center for Learning Systems
MPI for Intelligent Systems in Tübingen and ETH Zürich

2015-2016

Elected Ombudsperson at the Intelligent Systems Institute Tübingen
Max Planck Institute for Intelligent Systems, Tübingen, Germany

2015-2018

KIT Doctoral Award (Best Ph.D. Thesis)
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

February 2015

Ernst-Schoemperlen Prize (Research in Mobility Systems)
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

November 2014

CVPR Best Paper Runner Up Award
June 2013
International Conference on Computer Vision and Pattern Recognition, Portland, USA
1st place in the GCDC competition with Team AnnieWAY
Grand Cooperative Driving Challenge (GCDC), Helmond, Netherlands

May 2011

IV Best Dissertation Proposal AwardIntelligent Vehicles Symposium, San Diego, USA
DAAD and MIT scholarships
Massachusetts Institute of Technology
ERASMUS scholarship
Ecole Polytechnique Fédérale de LausanneAward of the German Physical Association
Ferry Porsche Award

June 2010
February - July 2008
September 2005 - February 2006
June 2002
June 2002

INVITED TALKS AND KEYNOTESNaver Labs Workshop: Virtual invited talk
25.11.2021
Qualcomm-UvA Deep Vision Seminar: Virtual invited talk
06.10.2021
KAIST Seminar: Virtual invited talk
27.09.2021
Korean Conference on Computer Vision: Keynote talk
09.08.2021
Toyota Research Institute Seminar: Virtual invited talk
21.07.2021
3D Geometry and Vision Seminar: Virtual invited talk
21.04.2021
Stanford SCIEN Seminar: Virtual invited talk
14.04.2021
AIDA AI Excellence Series: Virtual invited talk
21.03.2021
UC San Diego Vision Seminar: Virtual invited talk
15.01.2021
WACV Workshop on Autonomous Driving: Virtual invited talk
09.01.2021
IJCAI Workshop on 3D Vision: Virtual invited talk
08.01.2021
University of Hong Kong Seminar: Virtual invited talk
07.01.2021
Carnegie Mellon University VASC Seminar: Virtual invited talk
31.08.2020
ECCV Workshops: 3 invited keynote talks (virtual)
08.2020CVPR Workshops: 8 invited keynote talks (virtual)
06.2020
Oxford Vision Group Seminar: Oxford, UK
27.04.2020
International Computer Vision Summer School: Sicily, Italy
07.07.2019
Amazon: Seattle, USA
18.06.2019
CVPR Workshop on Uncertainty and Robustness: Long Beach, USA
17.06.2019
CVPR Workshop on Autonomous Driving: Long Beach, USA
17.06.2019
CVPR Robotic Vision Workshop: Long Beach, USA
17.06.2019
CVPR CARLA Workshop: Long Beach, USA
16.06.2019
Autonomous University of Barcelona: Barcelona, Spain
21.05.2019
Chalmers AI Research Center Inauguration: Gothenburg, Sweden
05.03.2019
International Max Planck Research School: Tübingen, Germany
31.01.2019
ETH Zürich, Institute of Neuroinformatics: Zürich, Switzerland
25.10.2018
ETH Zürich, Institute of Neuroinformatics: Zürich, Switzerland
25.10.2018
Continental Round Table: Lindau, Germany
20.09.2018
ECCV Vision-based Navigation for Autonomous Driving: Munich, Germany 09.09.2018
ECCV Joint COCO and Mapillary Workshop: Munich, Germany
09.09.2018
ECCV Workshop on Autonomous Navigation: Munich, Germany
08.09.2018
Intel Network on Intelligent Systems: Munich, Germany
05.09.2018
Bosch Center for Artificial Intelligence: Renning, Germany
24.07.2018
IMPRS Summer School: Bad Überkingen, Germany
22.06.2018
CVPR Workshop on Visual Odometry: Salt Lake City, USA
22.06.2018
CVPR Workshop on Vision with Biased or Scarce Data: Salt Lake City, USA 22.06.2018
CVPR Workshop on Robotic Vision: Salt Lake City, USA
22.06.2018
CVPR Workshop on Autonomous Driving: Salt Lake City, USA
18.06.2018
CVPR Robust Vision Challenge: Salt Lake City, USA
18.06.2018
Baidu ApolloScape Workshop: Beijing, China
23.04.2018
DALI Workshop on Autonomous Driving: Lanzarote, Spain
03.04.2018
IST Austria: Klosterneuburg, Austria
30.11.2017
TU Graz: Graz, Austria
24.11.2017
ICCV Workshop on Learning to See from 3D Data: Venice, Italy
28.10.2017

ICCV Workshop on Dynamic Scene Understanding: Venice, Italy
Bosch Chassis Control Systems: Leonberg, Germany
NVIDIA GTC Europe: Munich, Germany
Microsoft Research Cambridge: Cambridge, England
GCPR Award Lecture: Basel, Switzerland
BMVC Tutorial Lecture: London, EnglandIntel NIS Network: Munich, Germany
Disney Research Zürich: Zürich, Switzerland
Summer School on Cooperative Interacting Automobiles: Schwäb.-Gmünd
CVPR Workshop on Autonomous Driving: Honolulu, Hawaii, USA
Summer School on Learning Systems: ETH Zürich, Switzerland
Robert Bosch GmbH: Bosch CC Leadership Meeting, Budapest, Hungary
TU München: Computer Vision Group
University of Maryland: CVPR Area Chair Workshop
Princeton University: Computer Graphics and Vision Lab
National University of Singapore: Singapore
ETH Zürich: Faculty Lunch Seminar
ECCV Workshop on Multi-target Tracking: Amsterdam, Netherlands
ETH Zürich: Computer Vision and Geometry Lab
University Hannover: Ringvorlesung Navigation und Umweltrobotik
TU Dresden: Computer Vision Lab
MPI Tübingen: Special Symposium on Intelligent Systems
Scenes from Video Workshop: Colchagua Valley, Chile
ICCV Workshop on Autonomous Driving: Santiago, Chile
Google Research: Mountain View, USA
Robert Bosch GmbH: Leonberg, Germany
Dagstuhl Seminar: Dagstuhl, Germany
Daimler AG: Böblingen, Germany
RSS Workshop on SLAM: Rome, Italy
RWTH Aachen: GCPR PC Meeting
CVPR Workshop on Performance Metrics: Boston, USA
Karlsruhe Institute of Technology: Department of Economics and Management
MPI Tübingen: ETH/MPI Vision Workshop
MPI Stuttgart: Tag der offenen Tür
ETH Zürich: Photogrammetry and Remote Sensing Lab
Robert Bosch GmbH: Fahrzeugsicherheits- und Assistenzsysteme, Stuttgart
Karlsruhe Institute of Technology: Ringvorlesung des Graduiertenkolleg 1194
University of Illinois at Urbana-Champaign: Department of Computer Science
New York University: Vision, Learning and Graphics Group
Carnegie Mellon University: The Robotics InstituteMIT: Computer Science and Artificial Intelligence Laboratory
MPI Tübingen: Perceiving Systems Department
TU Darmstadt: Interactive Graphics Systems GroupRWTH Aachen: UMIC Research Centre Computer Vision GroupETH Zürich: Computer Vision and Geometry Lab
University of Oxford: Robotics Research GroupCVPR Workshop on Point Cloud Processing: Providence, USA
Toyota Technological Institute at Chicago
Robert Bosch GmbH: Computer Vision Systems, Hildesheim
MPI Saarbrücken: Computer Vision and Multimodal Computing Department
ETH Zürich: Computer Vision and Geometry Lab
PROFESSIONAL SERVICE / COMMISSIONS OF TRUSTASSOCIATE EDITOR: PAMI 2016-now, IJCV 2017-now

23.10.2017
19.10.2017
12.10.2017
26.09.2017
12.09.2017
04.09.2017
30.08.2017
25.09.2017
09.08.2017
20.07.201706.07.2017
10.05.2017
31.03.2017
27.02.2017
24.02.2017
25.11.2016
24.10.2016
09.10.2016
12.05.2016
11.05.2016
22.04.2016
16.03.2016
17.12.2015
12.12.2015
25.11.2015
23.11.2015
09.11.2015
27.08.2015
17.07.2015
09.07.2015
11.06.2015
30.04.2015
25.11.2014
05.04.2014
27.03.2014
18.06.2013
03.05.2013
30.11.2012
29.11.2012
28.11.2012
27.11.2012
05.11.2012
01.11.2012
26.10.2012
22.10.2012
24.09.2012
16.06.2012
19.07.2011
14.01.2011
06.12.2010
27.05.2010

PROGRAM CHAIR: DAGM GCPR 2020, CVPR 2023
AREA CHAIR: ECCV 2016, CVPR 2017, CVPR 2018, ECCV, 2018, ICCV 2019, CVPR 2020
PROGRAM COMMITTEE: NIPS 2012-now, ACCV 2012-now, IV 2010-now, ICCV 2013-now,
ECCV 2014-now, CVPR 2013-now, GCPR 2015-now
REVIEWER: NIPS, CVPR, ECCV, ICCV, GCPR, ACCV, PAMI, IJCV, IJRR, ICRA, IROS,
IV, ITSC, TITSMEMBER of Minister Bauer’s delegation to Paris regarding French-German AI partnership, 2018
FELLOW of the European Laboratory of Learning and Intelligent Systems (ELLIS), 2019-now
BOARD of the European Laboratory of Learning and Intelligent Systems (ELLIS), 2019-now
COORDINATOR of the ELLIS PhD program and ELLIS board member, 2019-now
STEERING BOARD of the Max Planck ETH Center for Learning Systems, 2018-2021
DEPUTY HEAD of the dept. of computer science at the University of Tübingen, 2020-now

ORGANIZATION
Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Program Chair jointly with Vladlen Koltun, Ross Girshick and Svetlana Lazebnik

June 2023

CVPR 2021: Robust Video Scene Understanding
June 2021
Jointly with Jonathon Luiten, Bastian Leibe, Laura Leal-Taixé, Fisher Yu and Deva Ramanan
CVPR 2021: Workshop on Autonomous Driving
June 2021
Jointly with Andrea Vedaldi, Dragomir Anguelov, Fisher Yu, Luc Van Gool and John Leonard
German Conference on Pattern Recognition (GCPR) 2020
General Chair and Program Chair
ECCV 2020: Robust Vision Challenge
Jointly with Oliver Zendel, Daniel Scharstein, Vladlen Koltun and others

September 2020
August 2020

CVPR 2020: Workshop on Benchmarking Multi-Target Tracking
Jointly with Bastian Leibe, Laura Leal-Taixe, Aljosa Osep and Paul Voigtländer

June 2020

CVPR 2020: Workshop on Scalability in Autonomous Driving
Jointly with Yuning Chai, Henrik Kretzschmar and Dragomir Anguelov

June 2020

CVSS 2019: Computational Vision Summer School
Jointly with Hendrikje Nienborg, Siyu Tang and Bei Xiao

July 2019

ECCV 2018: Workshop on Autonomous Driving
Jointly with Peng Wang, Ruigang Yang, Hongdong Li and Alan Yuille

September 2018

CVPR 2018: Workshop on Autonomous Driving
Jointly with Ruigang Yang, Jose Alvarez and Fisher Yu

June 2018

CVPR 2018: Robust Vision Challenge
Jointly with C. Rother, M. Niessner, M. Pollefeys, D. Scharstein and T. Sattler

June 2018DALI 2018: Workshop on Autonomous Driving
Jointly with Andrew Blake

June 2018

ECCV 2014: Reconstruction Meets Recognition Challenge
September 2014
Jointly with R. Urtasun, R. Fergus, D. Hoiem, A. Torralba, P. Lenz, N. Silberman, J. Xiao, S. Fidler
ACCV 2014: Intelligent Vehicle With Vision Technology
September 2014
Jointly with Xue Mei, Michael James, Yi-Ping Hung, Fatih Porikli and Danil Prokhorov
IV 2014: Workshop on Benchmarking Lane Detection Algorithms
Jointly with Chunzhao Guo, José M. Álvarez and Jannick Fritsch

June 2014ICCV 2013: Reconstruction Meets Recognition Challenge
December 2013
Jointly with R. Urtasun, R. Fergus, D. Hoiem, A. Torralba, P. Lenz, N. Silberman, J. Xiao, S. Fidler
GCPR 2013: Special Session on Robust Optical Flow
Jointly with Andrés Bruhns, Uwe Franke and Daniel Kondermann

September 2013

PUBLICATIONSCITATION INDICES
Citations: 25004
h-Index:54
i10-Index: 90
Source:scholar.google.com
Accessed: 21.06.2021

Citations/YearSCIENTIFIC IMPACT
6418
6000

4893
3426

4000
2000

1600
772 1148

2332

3050

2014 2015 2016 2017 2018 2019 2020 2021

PUBLICATIONS
All publications are peer-reviewed conference or journal publications and top tier in the respective
field (computer vision, machine learning, robotics, intelligent vehicles). ICML, NIPS, ICCV, ECCV
and CVPR are highly competitive with acceptance rates of less than 30%. CVPR is the most highly
cited IEEE conference with the highest impact in Engineering and Computer Science. CVPR,
ECCV, ICCV and NeurIPS are the four most impactful conferences in all of computer science1 .
The most important publications as well as award papers are marked with an asterisk.
JOURNAL PAPERS
Lina Liu, Yiyi Liao, Yue Wang, Andreas Geiger, and Yong Liu. Learning steering kernels for guided
depth completion. IEEE Trans. on Image Processing (TIP), 30:2850–2861, 2021.
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe,
and Bastian Leibe. Hota: A higher order metric for evaluating multi-object tracking. International
Journal of Computer Vision (IJCV), 2020.
Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, and Andreas Geiger. Self-supervised
linear motion deblurring. IEEE Robotics and Automation Letters (RA-L), 5(2):2475—2482, 2020.
David Stutz and Andreas Geiger. Learning 3d shape completion under weak supervision. In International Journal of Computer Vision (IJCV), 2018.
AlhaijaandHassan, MustikovelaandSiva, MeschederandLars, GeigerandAndreas, and RotherandCarsten.
Augmented reality meets computer vision: Efficient data generation for urban driving scenes. International Journal of Computer Vision (IJCV), 126(9):961–972, 2018.
Moritz Menze, Christian Heipke, and Andreas Geiger. Object scene flow. ISPRS Journal of Photogrammetry and Remote Sensing (JPRS), 140:60–76, 2018.
Joel Janai, Fatma Güney, Aseem Behl, and Andreas Geiger. Computer vision for autonomousvehicles: Problems, datasets and state-of-the-art. arXiv.org, 1704.05519, 2017.
* Marcus A. Brubaker, Andreas Geiger, and Raquel Urtasun. Map-based probabilistic visual selflocalization. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 38(4):652–665,
2016.
* Andreas Geiger, Martin Lauer, Christian Wojek, Christoph Stiller, and Raquel Urtasun. 3D
traffic scene understanding from movable platforms. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 36(5):1012–1025, 2014.
1

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Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun. Vision meets robotics: The
KITTI dataset. International Journal of Robotics Research (IJRR), 32(11):1231–1237, 2013.
Andreas Geiger, Martin Lauer, Frank Moosmann, Benjamin Ranft, Holger Rapp, Christoph Stiller,
and Julius Ziegler. Team annieway’s entry to the grand cooperative driving challenge 2011. IEEE
Trans. on Intelligent Transportation Systems (TITS), 13(3):1008–1017, September 2012.
CONFERENCE PAPERS
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, and Sanja Fidler. Neural parts:
Learning expressive 3d shape abstractions with invertible neural networks. In Proc. IEEE Conf. on
Computer Vision and Pattern Recognition (CVPR), 2021.
Shaofei Wang, Andreas Geiger, and Siyu Tang. Locally aware piecewise transformation fields for
3d human mesh registration. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition(CVPR), 2021.
Fabio Tosi, Yiyi Liao, Carolin Schmitt, and Andreas Geiger. Smd-nets: Stereo mixture density
networks. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
Aditya Prakash, Kashyap Chitta, and Andreas Geiger. Multi-modal fusion transformer for endto-end autonomous driving. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition(CVPR), 2021.
* Michael Niemeyer and Andreas Geiger. Giraffe: Representing scenes as compositional generative
neural feature fields. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR),
2021.
Axel Sauer and Andreas Geiger. Counterfactual generative networks. In Proc. of the International Conf. on Learning Representations (ICLR), 2021.
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger. Graf: Generative radiance fields
for 3d-aware image synthesis. In Advances in Neural Information Processing Systems (NeurIPS),
2020.
Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars Mescheder, Thilo Strauss, and Andreas
Geiger. Learning implicit surface light fields. In Proc. of the International Conf. on 3D Vision(3DV), 2020.
Hassan Alhaija, Siva Mustikovela, Varun Jampani, Justus Thies, Matthias Niessner, Andreas Geiger,
and Carsten Rother. Intrinsic autoencoders for joint neural rendering and intrinsic image decomposition. In Proc. of the International Conf. on 3D Vision (3DV), 2020.
Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, and Andreas Geiger. Label efficient visual abstractions for autonomous driving. In Proc. IEEE International Conf. on Intelligent
Robots and Systems (IROS), 2020.
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, and Otmar Hilliges. Category level object pose
estimation via neural analysis-by-synthesis. In Proc. of the European Conf. on Computer Vision(ECCV), 2020.
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger. Convolutional occupancy networks. In Proc. of the European Conf. on Computer Vision (ECCV), 2020.
Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, and Andreas Geiger. Learning sit-

uational driving. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
Carolin Schmitt, Simon Donne, Gernot Riegler, Vladlen Koltun, and Andreas Geiger. On joint
estimation of pose, geometry and svbrdf from a handheld scanner. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, and Andreas Geiger. Exploringdata aggregation in policy learning for vision-based urban autonomous driving. In Proc. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
Despoina Paschalidou, Luc van Gool, and Andreas Geiger. Learning unsupervised hierarchicalpart decomposition of 3d objects from a single rgb image. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger. Differentiable volumetricrendering: Learning implicit 3d representations without 3d supervision. In Proc. IEEE Conf. on
Computer Vision and Pattern Recognition (CVPR), 2020.
Yiyi Liao, Katja Schwarz, Lars Mescheder, and Andreas Geiger. Towards unsupervised learningof generative models for 3d controllable image synthesis. In Proc. IEEE Conf. on Computer Vision
and Pattern Recognition (CVPR), 2020.
Anurag Ranjan, Joel Janai, Andreas Geiger, and Michael Black. Attacking optical flow. In Proc. of
the IEEE International Conf. on Computer Vision (ICCV), 2019.
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger. Occupancy flow: 4dreconstruction by learning particle dynamics. In Proc. of the IEEE International Conf. on Computer Vision (ICCV), 2019.
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, and Andreas Geiger. Texture fields: Learning texture representations in function space. In Proc. of the IEEE International
Conf. on Computer Vision (ICCV), 2019.
Benjamin Coors, Alexandru Paul Condurache, and Andreas Geiger. Nova: Learning to see in novel
viewpoints and domains. In Proc. of the International Conf. on 3D Vision (3DV), 2019.
* Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger.
Occupancy networks: Learning 3d reconstruction in function space. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
* Zhaoyang Lv, Frank Dellaert, James M. Rehg, and Andreas Geiger. Taking a deeper look at
the inverse compositional algorithm. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
Gernot Riegler, Yiyi Liao, Simon Donne, Vladlen Koltun, and Andreas Geiger. Connecting thedots: Learning representations for active monocular depth estimation. In Proc. IEEE Conf. on
Computer Vision and Pattern Recognition (CVPR), 2019.
Aseem Behl, Despoina Paschalidou, Simon Donne, and Andreas Geiger. Pointflownet: Learning
representations for rigid motion estimation from point clouds. In Proc. IEEE Conf. on Computer
Vision and Pattern Recognition (CVPR), 2019.
Despoina Paschalidou, Ali Osman Ulusoy, and Andreas Geiger. Superquadrics revisited: Learning 3d shape parsing beyond cuboids. In Proc. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2019.

Simon Donne and Andreas Geiger. Learning non-volumetric depth fusion using successive reprojections. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar,
Andreas Geiger, and Bastian Leibe. Mots: Multi-object tracking and segmentation. In Proc. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong
Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, and Torsten
Sattler. Project autovision: Localization and 3d scene perception for an autonomous vehicle with amulti-camera system. In Proc. IEEE International Conf. on Robotics and Automation (ICRA), 2019.
Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo, Andreas Geiger, Marc Pollefeys, and Torsten Sattler.
Real-time dense mapping for self-driving vehicles using fisheye cameras. In Proc. IEEE International Conf. on Robotics and Automation (ICRA), 2019.
* Axel Sauer, Nikolay Savinov, and Andreas Geiger. Conditional affordance learning for driving in urban environments. In Proc. Conf. on Robot Learning (CoRL), 2018.
Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, and Michael Black.
On the integration of optical flow and action recognition. In Proc. of the German Conference on
Pattern Recognition (GCPR), 2018.
Peidong Liu, Marcel Geppert, Lionel Heng, Torsten Sattler, Andreas Geiger, and Marc Pollefeys.
Towards robust visual odometry with a multi-camera system. In Proc. IEEE International Conf.
on Intelligent Robots and Systems (IROS), 2018.
Hassan Alhaija, Siva Mustikovela, Andreas Geiger, and Carsten Rother. Geometric image synthesis. In Proc. of the Asian Conf. on Computer Vision (ACCV), 2018.
* Ian Cherabier, Johannes Schönberger, Martin Oswald, Marc Pollefeys, and Andreas Geiger. Learning priors for semantic 3d reconstruction. In Proc. of the European Conf. on Computer Vision(ECCV), 2018.
Benjamin Coors, Alexandru Paul Condurache, and Andreas Geiger. Spherenet: Learning sphericalrepresentations for detection and classification in omnidirectional images. In Proc. of the European
Conf. on Computer Vision (ECCV), 2018.
Joel Janai, Fatma Güney, Anurag Ranjan, Michael Black, and Andreas Geiger. Unsupervised learning of multi-frame optical flow with occlusions. In Proc. of the European Conf. on Computer Vision(ECCV), 2018.
* Lars Mescheder, Andreas Geiger, and Sebastian Nowozin. Which training methods for gansdo actually converge? In Proc. of the International Conf. on Machine learning (ICML), 2018.
Yiyi Liao, Simon Donne, and Andreas Geiger. Deep marching cubes: Learning explicit surface
representations. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.
David Stutz and Andreas Geiger. Learning 3d shape completion from laser scan data with weaksupervision. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.
* Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc van Gool, and Andreas Geiger.
Raynet: Learning volumetric 3d reconstruction with ray potentials. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.

Johannes Schönberger, Marc Pollefeys, Andreas Geiger, and Torsten Sattler. Semantic visual localization. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.
Benjamin Coors, Alexandru Condurache, Alfred Mertins, and Andreas Geiger. Learning transformation invariant representations with weak supervision. In Proc. of the Conf. on Computer
Vision Theory and Applications (VISAPP), 2018.
Ioan Andrei Barsan, Peidong Liu, Marc Pollefeys, and Andreas Geiger. Robust dense mapping
for large-scale dynamic environments. In Proc. IEEE International Conf. on Robotics and Automation (ICRA), 2018.
Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother,and Andreas Geiger. Bounding boxes, segmentations and object coordinates: How important isrecognition for 3d scene flow estimation in autonomous driving scenarios? In Proc. of the IEEE
International Conf. on Computer Vision (ICCV), 2017.
* Gernot Riegler, Ali Osman Ulusoy, Horst Bischof, and Andreas Geiger. OctNetFusion: Learning
depth fusion from data. In Proc. of the International Conf. on 3D Vision (3DV), 2017.
* Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, and Andreas Geiger.
Sparsity Invariant CNNs. In Proc. of the International Conf. on 3D Vision (3DV), 2017.
Peidong Liu, Lionel Heng, Torsten Sattler, Andreas Geiger, and Marc Pollefeys. Direct visual
odometry for a fisheye-stereo camera. In Proc. IEEE International Conf. on Intelligent Robots andSystems (IROS), 2017.
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder, Andreas Geiger, and Carsten
Rother. Augmented reality meets deep learning for car instance segmentation in urban scenes.
In Proc. of the British Machine Vision Conf. (BMVC), 2017.
* Lars Mescheder, Sebastian Nowozin, and Andreas Geiger. The numerics of GANs. In Advancesin Neural Information Processing Systems (NIPS), 2017.
* Lars Mescheder, Sebastian Nowozin, and Andreas Geiger. Adversarial variational bayes: Unifying variational autoencoders and generative adversarial networks. In Proc. of the International
Conf. on Machine learning (ICML), 2017.
Federico Camposeco, Torsten Sattler, Andrea Cohen, Andreas Geiger, and Marc Pollefeys. Toroidal
constraints for two point localization under high outlier ratios. In Proc. IEEE Conf. on Computer
Vision and Pattern Recognition (CVPR), 2017.
Thomas Schöps, Johannes Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc
Pollefeys, and Andreas Geiger. A multi-view stereo benchmark with high-resolution images andmulti-camera videos. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR),
2017.
Ali Osman Ulusoy, Michael Black, and Andreas Geiger. Semantic multi-view stereo: Jointly estimating objects and voxels. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition(CVPR), 2017.
* Joel Janai, Fatma Güney, Jonas Wulff, Michael Black, and Andreas Geiger. Slow flow: Exploiting
high-speed cameras for accurate and diverse optical flow reference data. In Proc. IEEE Conf. on
Computer Vision and Pattern Recognition (CVPR), 2017.

* Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger. Octnet: Learning deep 3d representations at high resolutions. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition(CVPR), 2017.
Fatma Güney and Andreas Geiger. Deep discrete flow. In Proc. of the Asian Conf. on Computer Vision (ACCV), 2016.
Jun Xie, Martin Kiefel, Ming-Ting Sun, and Andreas Geiger. Semantic instance annotation ofstreet scenes by 3d to 2d label transfer. In Proc. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2016.
Ali Osman Ulusoy, Michael Black, and Andreas Geiger. Patches, planes and probabilities: A nonlocal prior for volumetric 3d reconstruction. In Proc. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2016.
Chen Zhou, Fatma Güney, Yizhou Wang, and Andreas Geiger. Exploiting object similarity in
3d reconstruction. In Proc. of the IEEE International Conf. on Computer Vision (ICCV), 2015.
Philip Lenz, Andreas Geiger, and Raquel Urtasun. Followme: Efficient online min-cost flow tracking
with bounded memory and computation. In Proc. of the IEEE International Conf. on Computer
Vision (ICCV), 2015.
* Ali Osman Ulusoy, Andreas Geiger, and Michael J. Black. Towards probabilistic volumetricreconstruction using ray potentials. In Proc. of the International Conf. on 3D Vision (3DV), 2015.
* Andreas Geiger and Chaohui Wang. Joint 3d object and layout inference from a single rgb-d
image. In Proc. of the German Conference on Pattern Recognition (GCPR), 2015.
Moritz Menze, Christian Heipke, and Andreas Geiger. Discrete optimization for optical flow. In
Proc. of the German Conference on Pattern Recognition (GCPR), 2015.
* Fatma Güney and Andreas Geiger. Displets: Resolving stereo ambiguities using object knowledge.
In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.
Moritz Menze and Andreas Geiger. Object scene flow for autonomous vehicles. In Proc. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.
Miriam Schönbein and Andreas Geiger. Omnidirectional 3d reconstruction in augmented manhattan worlds. In Proc. IEEE International Conf. on Intelligent Robots and Systems (IROS), 2014.
Miriam Schönbein, Tobias Strauss, and Andreas Geiger. Calibrating and centering quasi-central
catadioptric cameras. In Proc. IEEE International Conf. on Robotics and Automation (ICRA),
2014.
Martin Roser, Matthew Dunbabin, and Andreas Geiger. Simultaneous underwater visibility assessment, enhancement and improved stereo. In Proc. IEEE International Conf. on Robotics andAutomation (ICRA), 2014.
Hongyi Zhang, Andreas Geiger, and Raquel Urtasun. Understanding high-level semantics by modeling traffic patterns. In Proc. of the IEEE International Conf. on Computer Vision (ICCV), 2013.
* Marcus A. Brubaker, Andreas Geiger, and Raquel Urtasun. Lost! leveraging the crowd for probabilistic visual self-localization. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition(CVPR), 2013.

Jannik Fritsch, Tobias Kuehnl, and Andreas Geiger. A new performance measure and evaluation benchmark for road detection algorithms. In Proc. IEEE Conf. on Intelligent Transportation
Systems (ITSC), 2013.
* Andreas Geiger, Philip Lenz, and Raquel Urtasun. Are we ready for autonomous driving? TheKITTI vision benchmark suite. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition(CVPR), 2012.
Henning Lategahn, Andreas Geiger, Bernd Kitt, and Christoph Stiller. Motion-without-structure:
Real-time multipose optimization for accurate visual odometry. In Proc. IEEE Intelligent Vehicles
Symposium (IV), 2012.
Andreas Geiger, Frank Moosmann, Oemer Car, and Bernhard Schuster. Automatic calibrationof range and camera sensors using a single shot. In Proc. IEEE International Conf. on Robotics
and Automation (ICRA), 2012.
Andreas Geiger, Christian Wojek, and Raquel Urtasun. Joint 3d estimation of objects and scenelayout. In Advances in Neural Information Processing Systems (NIPS), 2011.
GeigerandAndreas, LauerandMartin, and UrtasunandRaquel. A generative model for 3d urban
scene understanding from movable platforms. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2011.
Andreas Geiger, Julius Ziegler, and Christoph Stiller. StereoScan: Dense 3D reconstruction in
real-time. In Proc. IEEE Intelligent Vehicles Symposium (IV), 2011.
Philip Lenz, Julius Ziegler, Andreas Geiger, and Martin Roser. Sparse scene flow segmentation
for moving object detection in urban environments. In Proc. IEEE Intelligent Vehicles Symposium(IV), 2011.
Henning Lategahn, Andreas Geiger, and Bernd Kitt. Visual slam for autonomous ground vehicles. In Proc. IEEE International Conf. on Robotics and Automation (ICRA), 2011.
GeigerandAndreas, RoserandMartin, and UrtasunandRaquel. Efficient large-scale stereo matching. In Proc. of the Asian Conf. on Computer Vision (ACCV), 2010.
Andreas Geiger and Bernd Kitt. Objectflow: A descriptor for classifying traffic motion. In Proc.
IEEE Intelligent Vehicles Symposium (IV), 2010.
Bernd Kitt, Andreas Geiger, and Henning Lategahn. Visual odometry based on stereo image sequences with ransac-based outlier rejection scheme. In Proc. IEEE Intelligent Vehicles Symposium(IV), 2010.
Andreas Geiger, Raquel Urtasun, and Trevor Darrell. Rank priors for continuous non-linear dimensionality reduction. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR),
2009.
Andreas Geiger. Monocular road mosaicing for urban environments. In Proc. IEEE Intelligent
Vehicles Symposium (IV), 2009.
Raquel Urtasun, David Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, and Neil Lawrence.
Topologically-constrained latent variable models. In Proc. of the International Conf. on Machinelearning (ICML), 2008.
Julien Pilet, Andreas Geiger, Pascal Lagger, Vincent Lepetit, and Pascal Fua. An all-in-one so-lution to geometric and photometric calibration. In Proc. of the International Symposium on Mixed
and Augmented Reality (ISMAR), 2006.
WORKSHOP PAPERS
Moritz Menze, Christian Heipke, and Andreas Geiger. Joint 3d estimation of vehicles and scene
flow. In Proc. of the ISPRS Workshop on Image Sequence Analysis (ISA), 2015.
Martin Roser, Julian Kurz, and Andreas Geiger. Realistic modeling of water droplets for monocularadherent raindrop recognition using Bezier curves. In Proc. of the Asian Conf. on Computer Vision(ACCV) Workshops, 2010.
Martin Roser and Andreas Geiger. Video-based raindrop detection for improved image registration. In Proc. of the IEEE International Conf. on Computer Vision (ICCV) Workshops, 2009.
BOOKS
Joel Janai, Fatma Güney, Aseem Behl, and Andreas Geiger. Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art, volume 12. Foundations and Trends in Computer
Graphics and Vision, 2020.
WinnerandH., HakuliandS., LotzandF., SingerandC., GeigerandAndreas, et al. Handbook of Driver
Assistance Systems. Springer Vieweg, 2015.
PHD THESISAndreas Geiger. Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms.
PhD thesis, KIT, 2013.