As a PhD candidate at IGNโ€”the French Mapping Agency ๐Ÿ—บโ€”in the machine learning team STRUDEL (LASTIG lab, IGN-ENSG, Univ. Gustave Eiffel), and in the CSAI team at ENGIE Lab CRIGEN, I design deep learning methods for multimodal, multi-task learning on large-scale point clouds. Specifically, my recent research involves computer vision on 3D point clouds and 2D images in the wild.

You like point clouds โ˜ ? You like images ๐Ÿ“ธ ? You like me ๐Ÿ˜Š.


Publications ๐Ÿ“„

๐Ÿ–ผ Poster | ๐ŸŽค Oral

Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Damien Robert, Bruno Vallet, Loรฏc Landrieu
Paper | Webpage | Code | Video
CVPR 2022 Oral ๐Ÿ–ผ๐ŸŽค

We present an end-to-end deep view aggregation method for 3D semantic segmentation from images and point clouds. We reach SOTA on S3DIS and KITTI-360 without requiring point cloud colorization, meshing, or depth sensors: just point clouds โ˜, images ๐Ÿ“ธ, and their poses.

Short Resume

  • [2020 - Now] PhD student on "Multimodal, multi-task learning on large-scale 3D point clouds" supervised by Loรฏc Landrieu and Bruno Vallet.
  • [Jul 2022] International Computer Vision Summer School, in Sicily.
  • [Oct 2017] CNRS AI Fall School, Multi-disciplinary course for AI students and researchers.
  • [2011 - 2015] Master of Science at Ecole Centrale de Lyon.


๐Ÿ–ผ Poster | ๐ŸŽค Oral | ๐ŸŽ“ Tutorial

  • ๐Ÿ–ผ [Jul 2022] ICVSS DeepViewAgg
  • ๐ŸŽค [Jun 2022] CVPR DeepViewAgg
  • ๐ŸŽค [Jun 2022] Ecole des Ponts, IMAGINE lab DeepViewAgg
  • ๐ŸŽ“ [Jun 2022] ISPRS 3D Deep Learning for Remote Sensing
  • ๐Ÿ–ผ [Jun 2022] ISPRS DeepViewAgg
  • ๐ŸŽ“ [May 2022] ENGIE CRIGEN lab 3D Deep Learning, Torch-Points3D & DeepViewAgg
  • ๐ŸŽค [May 2022] Ecole Polytechnique, LIX lab DeepViewAgg
  • ๐ŸŽค [Apr 2022] AI4GEO project seminar DeepViewAgg
  • ๐Ÿ–ผ [Mar 2022] IGN-ENSG Research Days DeepViewAgg
  • ๐ŸŽค [Jan 2022] GDR ISIS seminar DeepViewAgg
  • ๐Ÿ–ผ [May 2021] IGN-ENSG Research Days DeepViewAgg


  • [Jan 2022] ENSG-IGN Course Instructor, M2, 9 hours Deep learning for Remote Sensing
  • [Nov 2020] Ecole Polytechnique Teaching Assistant, M1, 12 hours Computer vision