Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. - Damien Robert 002; Bruno Vallet; Loïc Landrieu (CVPR, 2022)

Efficient 3D Semantic Segmentation with Superpoint Transformer. - Damien Robert 002; Hugo Raguet; Loïc Landrieu (ICCV, 2023)

Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering. - Damien Robert 002; Hugo Raguet; Loïc Landrieu (3DV, 2024)

Scalable 3D Panoptic Segmentation With Superpoint Graph Clustering. - Damien Robert 002; Hugo Raguet; Loïc Landrieu (CoRR, 2024)

Efficient Learning on Large-Scale 3D Point Clouds. (Apprentissage Efficace sur Nuages de Points 3D à Grande Échelle). - Damien Robert 002 (2024)

SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology. - Elena Plekhanova; Damien Robert 002; Johannes Dollinger; Emilia Arens; Philipp Brun; Jan Dirk Wegner; Niklaus E. Zimmermann (CVPR Workshops, 2025)

Lossy Neural Compression for Geospatial Analytics: A Review. - Carlos Gomes; Isabelle Wittmann; Damien Robert 002; Johannes Jakubik; Tim Reichelt; Michele Martone; Stefano Maurogiovanni; Rikard Vinge; Jonas Hurst; Erik Scheurer; Rocco Sedona; Thomas Brunschwiler; et al. (CoRR, 2025)

GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance. - Kaan Karaman; Yuchang Jiang; Damien Robert 002; Vivien Sainte Fare Garnot; Maria João Santos; Jan Dirk Wegner (CoRR, 2025)

Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks. - Johannes Dollinger; Damien Robert 002; Elena Plekhanova; Lukas Drees; Jan Dirk Wegner (CoRR, 2025)