I got an Engineering Degree from Grenoble INP – Ensimag and a MSc in Industrial and Applied Mathematics from Université Grenoble Alpes in 2017. I started a PhD in march 2019 after a first work experience in aerial imagery.
My interests range from computer vision to simulations. I am also interested in photography, music and video games. This website is dedicated to my work, my personal projects, and my hobbies.
PhD topic: “Deep Learning architectures for onboard satellite image analysis”
- Low-power neural networks for semantic segmentation of satellite images. Gaétan Bahl, Lionel Daniel, Matthieu Moretti, Florent Lafarge. ICCV Workshop on Low-Power Computer Vision, 2019, Seoul, South Korea.
- Pre-operative planning in acetabular and pelvic ring surgery: the first biomechanical model. M. Boudissa, M.Chabanas, H. Oliveri, G. Bahl, J. Tonetti. Surgetica 2019, Rennes, France.
- Virtual pre-operative planning in acetabular surgery using a patient-specific biomechanical model: a prospective clinical study.
M. Boudissa, M. Chabanas, G. Bahl, H. Oliveri, J. Tonetti. CAOS 2020.
- Binary Graph Neural Networks. M. Bahri, G. Bahl, S. Zafeiriou. CVPR 2021, Virtual Conference.
Contact: gaetan.bahl [at] inria.fr
CV: You can find my CV here.