Autonomous Vision Group | MPI for Intelligent Systems

Welcome

Welcome to the website of the independent Max Planck Research Group for Autonomous Vision! Our group is part of the Max Planck Institute for Intelligent Systems located in Tübingen, Germany.

We are interested in computer vision and machine learning with a focus on 3D scene understanding, parsing, reconstruction, material and motion estimation for autonomous intelligent systems such as self-driving cars or household robots. In particular, we investigate how complex prior knowledge can be incorporated into computer vision algorithms for making them robust to variations in our complex 3D world. You can follow us on GoogleScholar (paper email alert) and on YouTube (video email alert).

Contact

Dr. Andreas Geiger
Research Group Leader, MPI Tübingen (Contact Details)
Visiting Professor, ETH Zürich (Contact Details)
E-mail: andreas.geiger@tue.mpg.de / andreas.geiger@inf.ethz.ch

19.09.2016: Andreas serves as an area chair for CVPR 2017.
01.09.2016: Andreas has joined the Computer Vision and Geometry Lab at ETH Zürich as a visiting professor.
14.08.2016: Fatma's paper on Deep Discrete Flow has been accepted to ACCV 2016.
29.07.2016: Andreas serves as an associate editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
01.06.2016: Start of the independent Max Planck research group on "Autonomous Vision". We are a looking for a PhD student / PostDoc!
30.05.2016: We have released the code for our semantic and probabilistic 3D reconstruction projects!
29.02.2015: We got 2 papers accepted to CVPR 2016.
17.02.2016: Andreas serves as an area chair for ECCV 2016.
26.01.2016: We are looking for several PhD students and graduate interns, interested in joining my group at MPI Tübingen:
- ~~PhD position (3 years) Accurate Light Field Estimation funded by Microsoft Research Cambridge (jointly supervised with Sebastian Nowozin).~~
- ~~PhD position (3 years) Efficient Invariant Deep Models for Computer Vision funded by Robert Bosch GmbH.~~
- ~~Internship (6 months) Deep Learning for Computational Photography funded by MPI Tübingen.~~
Please read the application guidelines and contact me via email if you are interested!
25.01.2016: An article about our research appeared in the Max Planck Research science magazine (english version will follow).
05.01.2016: The KITTI dataset has been featured in a talk (24:30+) of NVIDIA CEO Jen-Hsun Huang at CES 2016 in Las Vegas.
12.12.2015: Andreas has been giving a keynote talk today at the ICCV 2015 workshop on road scene understanding.
22.10.2015: We received the Best Paper Award at 3DV 2015 for our work on probabilistic volumetric 3D reconstruction!
09.10.2015: We received the Best Paper Award at GCPR 2015 for our work on indoor scene understanding from a single RGB-D image!
31.08.2015: We got 2 papers accepted to ICCV 2015 as posters and 1 paper accepted to 3DV 2015 as oral.
29.07.2015: We have released our new stereo 2015, flow 2015, and scene flow 2015 benchmarks with ground truth for dynamic objects!
18.07.2015: We got 2 papers accepted to GCPR 2015 as orals. Watch our cool video on indoor scene understanding!
21.05.2015: Our extended paper on map-based localization has been accepted to PAMI!
02.03.2015: We got 2 papers accepted to CVPR 2015!
04.02.2015: Andreas received the KIT Doctoral Award for my PhD thesis.
18.12.2014: New call for PhD scholarships and internships at MPI Tübingen announced!
27.11.2014: Andreas received the Ernst-Schoemperlen Award for my research on autonomous mobile systems.
30.07.2014: This winter (2014/15), we will give a lecture on Computer Vision at the Universty of Tübingen.
22.05.2014: We got 3 papers accepted to ICRA/IROS 2014
12.02.2014: We are co-organizing the KITTI workshop at IV 2014, the RMRC workshop at ECCV 2014 as well as the IVVT workshop at ACCV 2014.
21.01.2014: The code for our urban scene understanding works including some tracking by detection code went online
06.12.2013: We are currently looking for scientific programmers and interns interested in 3D reconstruction!
29.09.2013: The tracking and road/lane estimation benchmarks have been added to KITTI
01.09.2013: Our paper on scene understanding using traffic patterns has been accepted at ICCV 2013
26.08.2013: Andreas is co-organizing the RMRC workshop at ICCV 2013
27.06.2013: We received the Best Paper Runner Up Award at CVPR 2013 for our probabilistic visual self-localization work!
31.03.2013: Our paper on the KITTI raw dataset for robotics has been accepted to IJRR
01.03.2013: Our paper on probabilistic visual self-localization has been accepted as oral at CVPR 2013
27.01.2013: I am looking for a PhD student in 3D semantic scene parsing (position available at MPI Tübingen)
15.01.2013: I am joining Michael Black's Perceiving Systems (MPI Tübingen) in June 2013 as a Research Scientist
08.08.2012: We are organizing a Special Session on Robust Optical Flow at GCPR 2013 (formerly: DAGM)
12.05.2012: Our Online Camera and Range Sensor Calibration Toolbox goes online
20.03.2012: The KITTI Vision Benchmark Suite goes online

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