Andreas Geiger

Autonomous Vision Perceiving Systems Guest Scientist Alumni

We have moved. I am now a Full Professor at the University of Tübingen.

I am 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, me and my group investigate how complex prior knowledge can be incorporated into computer vision algorithms for making them robust to variations in our complex 3D world.

Email: [email protected]
Website: 
http://www.cvlibs.net
Blog: https://autonomousvision.github.io/
Google Scholar: http://scholar.google.ca/citations?user=SrVnrPcAAAAJ&hl=en
Youtube: http://www.youtube.com/user/cvlibs
Facebook: https://www.facebook.com/andreas.geiger.395

 

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Perceiving Systems Conference Paper AG3D: Learning to Generate 3D Avatars from 2D Image Collections Dong, Z., Chen, X., Yang, J., Black, M. J., Hilliges, O., Geiger, A. In Proc. International Conference on Computer Vision (ICCV), 14916-14927, International Conference on Computer Vision (ICCV), October 2023 (Published) project pdf code video DOI URL BibTeX
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Perceiving Systems Article Fast-SNARF: A Fast Deformer for Articulated Neural Fields Chen, X., Jiang, T., Song, J., Rietmann, M., Geiger, A., Black, M. J., Hilliges, O. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 1-15, April 2023 (Published) pdf publisher site code DOI URL BibTeX
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Autonomous Vision Article KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D Liao, Y., Xie, J., Geiger, A. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292-3310, IEEE, March 2023 (Published) DOI BibTeX

Autonomous Vision Conference Paper ARAH: Animatable Volume Rendering of Articulated Human SDFs Wang, S. S. K. G. A. T. S. Computer Vision – ECCV 2022 , 13692:1-19 , Lecture Note on Computer Science (LNCS), (Editors: Avidan, S; Brostow, G; Cisse, M; Farinella, GM; Hassner, T), Springer, 17th European Conference on Computer Vision (ECCV), October 2022 (Published) DOI BibTeX

Autonomous Vision Conference Paper KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Hanselmann, N. R. K. C. K. B. A. G. A. Proceedings 17th European Conference on Computer Vision (ECCV), 13698:335-352, (Editors: Avidan, S; Brostow, G; Cisse, M; Farinella, GM; Hassner, T), IEEE, ECCV, October 2022 (Published) DOI BibTeX

Autonomous Vision Conference Paper TensoRF: Tensorial Radiance Fields Chen, A. X. Z. G. A. Y. J. S. H. Proceedings COMPUTER VISION - ECCV 2022, PT XXXII, 13692:333-350, IEEE, ECCV, October 2022 (Published) DOI BibTeX

Autonomous Vision Human-centric Vision & Learning Conference Paper PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence Dong, Z. G. C. S. J. C. X. G. A. H. O. Proceedings 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 20438-20448, IEEE, CVPR, June 2022 (Published) DOI BibTeX

Perceiving Systems Autonomous Vision Conference Paper gDNA: Towards Generative Detailed Neural Avatars Chen, X., Jiang, T., Song, J., Yang, J., Black, M. J., Geiger, A., Hilliges, O. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 204395-20405, IEEE, Piscataway, NJ, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), June 2022 (Published) Project page Video Code DOI URL BibTeX
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Autonomous Vision Conference Paper RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs Niemeyer, M. B. J. T. M. B. S. M. S. M. G. A. R. N. Proceedings 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 5470-5480, IEEE, 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022 (Published) DOI BibTeX

Autonomous Vision Conference Paper Projected GANs Converge Faster Sauer, A. C. K. M. J. G. A. Advances in Neural Information Processing Systems 34 (NeurIPS 2021) , 34, (Editors: Ranzato, M; Beygelzimer, A; Dauphin, Y; Liang, PS; Vaughan, JW), NeuRIPS, 35th Conference on Neural Information Processing Systems (NeurIPS), December 2021 (Published) URL BibTeX

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