Arthur Ouaknine

18 papers A* 3B 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Estimating Individual Tree Height and Species from UAV Imagery.
CoRR
Jannik Endres, Etienne Laliberté, David Rolnick, Arthur Ouaknine
2026 J jnl
SelvaMask: Segmenting Trees in Tropical Forests and Beyond.
CoRR
Simon-Olivier Duguay, Hugo Baudchon, Etienne Laliberté, Helene C. Muller-Landau, Gonzalo Rivas-Torres, Arthur Ouaknine
2025 J jnl
Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery.
CoRR
Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle
2025 J jnl
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery.
CoRR
Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle
2025 A* conf
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring.
AAAI
Nikolaos-Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis, David Rolnick
2025 J jnl
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction.
CoRR
Eya Cherif, Arthur Ouaknine, Luke A. Brown, Phuong D. Dao, Kyle R. Kovach, Bing Lu, Daniel Mederer, Hannes Feilhauer, Teja Kattenborn, David Rolnick
2025 J jnl
SelvaBox: A high-resolution dataset for tropical tree crown detection.
CoRR
Hugo Baudchon, Arthur Ouaknine, Martin Weiss, Mélisande Teng, Thomas R. Walla, Antoine Caron-Guay, Christopher Pal, Etienne Laliberté
2024 J jnl
Tree semantic segmentation from aerial image time series.
CoRR
Venkatesh Ramesh, Arthur Ouaknine, David Rolnick
2023 J jnl
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models.
CoRR
Nikolaos-Ioannis Bountos, Arthur Ouaknine, David Rolnick
2023 J jnl
OpenForest: A data catalogue for machine learning in forest monitoring.
CoRR
Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté, David Rolnick
2022 J jnl
Deep learning for radar data exploitation of autonomous vehicle.
CoRR
Arthur Ouaknine
2022 — —
Deep learning for radar data exploitation of autonomous vehicle. (Apprentissage profond pour l'exploitation de données radar dans la conduite autonome).
Arthur Ouaknine
2022 A* conf
Raw High-Definition Radar for Multi-Task Learning.
CVPR
Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez
2021 A* conf
Multi-View Radar Semantic Segmentation.
ICCV
Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut
2021 J jnl
Multi-View Radar Semantic Segmentation.
CoRR
Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut
2021 J jnl
Raw High-Definition Radar for Multi-Task Learning.
CoRR
Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez
2020 B conf
CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations.
ICPR
Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez
2020 J jnl
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations.
CoRR
Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez