Quentin Becker
EPFL IC IINFCOM GCM
BC 346 (Bâtiment BC)
Station 14
1015 Lausanne
Web site: Site web: https://www.epfl.ch/labs/gcm/
Domaines de compétences
Geometric Computing, Generative Models, Optimization, Physics Based Inverse Problems.
Parcours professionnel
Research Intern
Google Research (Berlin)
June 2022 - September 2022
Research Intern
Dassault Systèmes (Paris)
January 2019 - July 2019
Formation
Master of Science in Mechanical Engineering
UC Berkeley
August 2017 - December 2018
Bachelor of Science and Master of Science in Aeronautical and Aerospace Engineering
ISAE Supaéro
August 2015 - September 2019
Publications
Sélection de publications
| Quentin Becker*, Uday Kusupati*, Seiichi Suzuki, Mark Pauly ACM Transactions on Graphics, Volume 43, Issue 6, December 2024 (SIGGRAPH Asia 2024) |
Computational Design of a Kit of Parts for Bending-Active Structures |
| Quentin Becker, Seiichi Suzuki, Mark Pauly Proceedings of the IASS Annual Symposium. International Association for Shell and Spatial Structures (IASS), 2024 |
Interactive Design of C-shells Using Reduced Parametric Families |
| Quentin Becker, Seiichi Suzuki, Yingying Ren, Davide Pellis, Julian Panetta, and Mark Pauly ACM Transactions on Graphics, Volume 42, Issue 6, December 2023 (SIGGRAPH Asia 2023) |
C-shells: Deployable Gridshells with Curved Beams |
| Michelis, Mike Yan, and Quentin Becker ICLR 2021 Workshop on Geometrical and Topological Representation Learning. 2021. |
On Linear Interpolation in the Latent Space of Deep Generative Models. |
Enseignement & Phd
I have been involved in the following courses as a teaching assistant:
- Geometric Computing (F21, F23)
- Introduction to Computer Graphics (S20, S21)
- Analysis I (F20)
- Analysis II (S22)
- Introduction to Programming (F22, F24)