Ph.D. student

Tetiana Martyniuk

Conditional generation for urban scenes
in ASTRA team, joint valeo.ai / INRIA team
with Gilles Puy, Renaud Marlet and Raoul de Charette

Björn Michele

Domain adaptation for 3D data
at valeo.ai and IRISA
with Gilles Puy, Renaud Marlet and Nicolas Courty

Corentin Sautier

Self-supervised learning for 3D point clouds with multi-modal data
at valeo.ai and ENPC
with Gilles Puy, Renaud Marlet and Vincent Lepetit

Alumni

Javiera Castillo Navarro

Semi-supervised semantic segmentation of large scale remote sensing data
At ONERA (DTIS/IVA) and IRISA.
with Bertrand Le Saux and Sébastien Lefèvre

Pierre-Alain Langlois

Geometric and semantic approaches for digital building model reconstruction
At ENPC (Imagine team).
with Renaud Marlet

Pierre Godet

Machine learning for multi-frame motion estimation in videos
At ONERA (DTIS/IVA)
with Aurélien Plyer and Guy Le Besnerais PhD January 2021.

Rodrigo Caye Daudt

Deep learning for remote sensing multi-temporal image analysis.
At ONERA (DTIS/IVA) and Télécom Paris (LTCI/IMAGES).
with Bertrand Le Saux and Yann Gousseau. PhD November 2020.

Undergrad / MSc. Students

Pegah Khayatan: Robustness and corner case generation for motion forecasting, 2023, cosupervised with Eloi Zablocki

Sophia Sirko-Galouchenko: Self-supervision for camera-based bird’s-eye-view perception in autonomous driving, 2023, cosupervised with Spyros Gidaris and Andrei Bursuc

Angelika Ando: Exploiting vision transformers for 3d semantic segmentation, 2022, cosupervised with Spyros Gidaris, Andrei Bursuc and Gilles Puy

Loick Chambon: Multi-modal generation for 3D urban scenes, 2022, cosupervised with Mickael Chen, Tuan-Hung Vu and Andrei Bursuc

Corentin Sautier: Self-supervision for point clouds, 2021, cosupervised with Gilles Puy, Renaud Marlet, Spyros Gidaris and Andreï Bursuc

Anh Quan Cao: Scene Flow Estimation from 3D Lidar point cloud using deep learning, 2020, co-supervised with Gilles Puy and Renaud Marlet

Björn Michele: Zero-shot learning for 3D data, 2020, co-supervised with Maxime Bucher, Renaud Marlet and Gilles Puy

Jean-Lynce Gnanago: Deep learning TEC map prediction, 2018, co-supervised with Fabien Gachet

Noellie Cherrier: Deep learning TEC map prediction, 2017, co-supervised with Thibault Castaings