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ORCIDDamien Robert 0002
Person information
- affiliation: University of Zürich, Switzerland
- affiliation (former): Institut Géographique National, France
Other persons with the same name
- Damien Robert 0001
![[0000-0003-4378-4274]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4378-4274")
— INRIA Bordeaux-Sud-Ouest, Talence, France
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2020 – today
- 2025
[i4]Carlos Gomes, Isabelle Wittmann, Damien Robert, Johannes Jakubik, Tim Reichelt, Michele Martone, Stefano Maurogiovanni, Rikard Vinge, Jonas Hurst, Erik Scheurer, Rocco Sedona, Thomas Brunschwiler, Stefan Kesselheim, Matej Batic, Philip Stier, Jan Dirk Wegner, Gabriele Cavallaro, Edzer Pebesma, Michael Marszalek, Miguel Angel Belenguer-Plomer, Kennedy Adriko, Paolo Fraccaro, Romeo Kienzler, Rania Briq, Sabrina Benassou, Michele Lazzarini, Conrad M. Albrecht:
Lossy Neural Compression for Geospatial Analytics: A Review. CoRR abs/2503.01505 (2025)- 2024
- [b1]Damien Robert:
Efficient Learning on Large-Scale 3D Point Clouds. (Apprentissage Efficace sur Nuages de Points 3D à Grande Échelle). Gustave Eiffel University, Champs-sur-Marne, France, 2024 - [c3]Damien Robert, Hugo Raguet, Loïc Landrieu:
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering. 3DV 2024: 179-189 - [i3]Damien Robert, Hugo Raguet, Loïc Landrieu:
Scalable 3D Panoptic Segmentation With Superpoint Graph Clustering. CoRR abs/2401.06704 (2024) - 2023
- [c2]Damien Robert, Hugo Raguet, Loïc Landrieu:
Efficient 3D Semantic Segmentation with Superpoint Transformer. ICCV 2023: 17149-17158 - [i2]Damien Robert, Hugo Raguet, Loïc Landrieu:
Efficient 3D Semantic Segmentation with Superpoint Transformer. CoRR abs/2306.08045 (2023) - 2022
- [c1]Damien Robert, Bruno Vallet, Loïc Landrieu:
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. CVPR 2022: 5565-5574 - [i1]Damien Robert, Bruno Vallet, Loïc Landrieu:
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. CoRR abs/2204.07548 (2022)
Coauthor Index
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