Scholar
Julien Gaubil
Google Scholar ID: Uz2R1rgAAAAJ
École Polytechnique
Citations & Impact
Citations
8
H-index
1
i10-index
0
Publications
2
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Understanding Multi-view Transformers (ICCV 2025 End-to-end 3D Learning Workshop); The Learnable Typewriter: A Generative Approach to Text Analysis (ICDAR 2024 Best Paper Award)
Research Experience
- 2025 - Present: Research Assistant working with Prof. Maks Ovsjanikov in the LIX at École Polytechnique, Subject: Computer Vision, Geometry; 2024: Visiting student working with Prof. Vincent Sitzmann in the Scene Representation Group at MIT CSAIL, Subject: Self-supervised 3D generation; Summer 2023: Master's Thesis advised by Prof. Jia Deng in the Princeton Vision & Learning Lab, Subject: Highly-dynamic monocular Novel View Synthesis; Summer 2022: Research internship advised by Prof. Mathieu Aubry in the Imagine team at ENPC, Subject: Weakly-supervised document analysis from images; Summer 2021: Research internship advised by Prof. Emmanuel Dellandrea at CNRS LIRIS, Subject: Real-time Visual Scene Understanding for Robotics.
Education
- 2022 - 2023: Master's Degree in Mathematics, Vision and Learning (MVA) at ENS Paris-Saclay; 2019 - 2022: French Engineering degree (equivalent to M.Sc.) in Applied Mathematics at École Centrale de Lyon; Also pursued a double-curriculum with Lyon 1 University, obtaining a B.Sc. in Mathematics and an M.Sc. in Applied Mathematics.
Background
- Research Interests: Computer Vision and Geometry. The goal is to bridge the gap between human and machine perception and understanding, particularly enjoying methods that can discover the underlying structure of the world from images.
Miscellany
- Passionate about Mathematics.
Co-authors