Andreas Geiger
Andreas Geiger
Professor of Computer Science, University of Tübingen and MPI-IS
Bestätigte E-Mail-Adresse bei tue.mpg.de - Startseite
TitelZitiert vonJahr
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
40732012
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
23212013
Stereoscan: Dense 3d reconstruction in real-time
A Geiger, J Ziegler, C Stiller
Intelligent Vehicles Symposium (IV), 2011 IEEE, 963-968, 2011
8842011
Object Scene Flow for Autonomous Vehicles
M Menze, A Geiger
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
7312015
Efficient large-scale stereo matching
A Geiger, M Roser, R Urtasun
Computer Vision–ACCV 2010, 25-38, 2011
7222011
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
4262010
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
3882017
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
3822013
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
3292014
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
2662012
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
2382017
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
175*2012
Which Training Methods for GANs do actually Converge?
L Mescheder, A Geiger, S Nowozin
International Conference on Machine Learning, 3478-3487, 2018
1732018
Displets: Resolving stereo ambiguities using object knowledge
F Guney, A Geiger
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
1722015
Lost! leveraging the crowd for probabilistic visual self-localization
MA Brubaker, A Geiger, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1532013
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
J Janai, F Güney, A Behl, A Geiger
arXiv preprint arXiv:1704.05519, 2017
1522017
Topologically-constrained latent variable models
R Urtasun, DJ Fleet, A Geiger, J Popović, TJ Darrell, ND Lawrence
Proceedings of the 25th international conference on Machine learning, 1080-1087, 2008
1412008
The numerics of gans
L Mescheder, S Nowozin, A Geiger
Advances in Neural Information Processing Systems, 1825-1835, 2017
1362017
Sparse scene flow segmentation for moving object detection in urban environments
P Lenz, J Ziegler, A Geiger, M Roser
Intelligent Vehicles Symposium (IV), 2011 IEEE, 926-932, 2011
1362011
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
1292017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20