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Andreas Geiger (born September 11, 1982 in Kirchheim unter Teck) is a german computer scientist. He leads the Autonomous Vision Group at the University of Tübingen. He is also head of the department of computer science at the University of Tübingen.[1]
Scientific Career
editFrom 2003 to 2008 he studied computer science and mathematics at Karlsruhe Institute of Technology, École Polytechnique Fédérale de Lausanne and Massachusetts Institute of Technology. In 2013 he received his doctoral degree Summa cum Laude at Karlsruhe Institute of Technology. From 2013 to 2016 he was a research scientist at Max Planck Institute for Intelligent Systems in Tübingen. From 2016 to 2018 he directed an independent Max Planck Research Group at the Max Planck Institute for Intelligent Systems while holding a position as assistant professor at ETH Zürich. In 2018 he moved to the University of Tübingen, holding a W3 professorship.
Geiger ist founding board member of the European Laboratory for Learning and Intelligent Systems (ELLIS) where he coordinates the pan-european ELLIS PhD und PostDoc Programm. According to Google Scholar (as of 2024) his work was cited over 65.000 times (H-index 90).
Awards and Prizes
edit- 2024: CVPR Best Student Paper Award[2]
- 2024: SAGE 10-Year Impact Award[3]
- 2022: Longuet-Higgins Prize[4]
- 2021: Mark Everingham Prize[5]
- 2021: CVPR Best Paper Award[6]
- 2019: ERC Starting Grant[7]
- 2018: IEEE PAMI Young Researcher Award[8]
- 2017: German Pattern Recognition Award[9]
- 2017: Heinz Maier-Leibnitz Prize[10]
Weblinks
editImportant Publications
edit- H. He, M. Flicke, J. Buchmann, I. Gurevych and A. Geiger: HDT: Hierarchical Document Transformer. COLM, 2024.
- K. Chitta, D. Dauner and A. Geiger: SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic. ECCV, 2024.
- Z. Yu, A. Chen, B. Huang, T. Sattler and A. Geiger: Mip-Splatting: Alias-free 3D Gaussian Splatting. CVPR, 2024.
- D. Dauner, M. Hallgarten, A. Geiger and K. Chitta: Parting with Misconceptions about Learning-based Vehicle Motion Planning. CoRL, 2023.
- Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges and Andreas Geiger: AG3D: Learning to Generate 3D Avatars from 2D Image Collections. ICCV, 2023.
- K. Chitta, A. Prakash, B. Jaeger, Z. Yu, K. Renz and A. Geiger: TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving. TPAMI, 2022.
- A. Chen, Z. Xu, A. Geiger, J. Yu and H. Su: TensoRF: Tensorial Radiance Fields. ECCV, 2022.
- A. Sauer, K. Schwarz and A. Geiger: StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. SIGGRAPH, 2022.
- Y. Liao, J. Xie and A. Geiger: KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. PAMI, 2022.
- C. Reiser, S. Peng and Y. Liao and A. Geiger: KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. ICCV, 2021.
- M. Niemeyer and A. Geiger: GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields. CVPR, 2021.
- J. Janai, F. Güney, A. Behl and A. Geiger: Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art. Foundation and Trends in Computer Graphics and Vsion, 2020.
- L. Mescheder, M. Oechsle, M. Niemeyer and S. Nowozin and A. Geiger: Occupancy Networks: Learning 3D Reconstruction in Function Space. CVPR, 2019.
- L. Mescheder and A. Geiger and S. Nowozin: Which Training Methods for GANs do actually Converge? ICML, 2018.
- G. Riegler and A. Ulusoy and A. Geiger: OctNet: Learning Deep 3D Representations at High Resolutions. CVPR, 2017.
- M. Brubaker and A. Geiger and R. Urtasun: Map-Based Probabilistic Visual Self-Localization. TPAMI, 2016.
- M. Menze and A. Geiger: Object Scene Flow for Autonomous Vehicles. CVPR, 2015.
- A. Geiger, M. Lauer, C. Wojek, C. Stiller and R. Urtasun: 3D Traffic Scene Understanding from Movable Platforms. TPAMI 2014.
- A. Geiger and P. Lenz and R. Urtasun: Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite. CVPR, 2012.
References
edit- ^ "Leitung & Gremien Fachbereich Informatik". Universität Tübingen. Retrieved 2024-08-13.
- ^ Leah Hovig (2024-06-19). "CVPR 2024 Announces Best Paper Award Winners". Retrieved 2024-08-13.
- ^ "Sage's 10-Year Impact Awards Celebrate Lasting Influence in Research". 2024-06-20. Retrieved 2024-08-13.
- ^ Jonathan Williams. "Andreas Geiger wins Longuet-Higgins prize". Retrieved 2024-08-13.
- ^ "PAMI Mark Everingham Prize - IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence - IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence". Retrieved 2024-08-13.
- ^ "CVPR'21 PAPER AWARDS | CVPR 2021". Retrieved 2024-08-13.
- ^ "Learning Generative 3D Scene Models for Training and Validating Intelligent Systems | LEGO-3D Project | Results | H2020". Retrieved 2024-08-13.
- ^ "PAMI Young Researcher Award - IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence - IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence". Retrieved 2024-08-13.
- ^ "German Pattern Recognition Award". Retrieved 2024-08-13.
- ^ "Übersicht aller Heinz Maier-Leibnitz-Preisträger*innen" (in German). Retrieved 2024-08-13.