Arthur Ouaknine

According to our database, Arthur Ouaknine authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Understanding Representation Gaps Across Scales in Tropical Tree Species Classification from Drone Imagery.

Sulagna Saha, Arthur Ouaknine, Etienne Laliberté, Carol Altimas, Evan M. Gora, Adriane Esquivel Muelbert, Ian R. McGregor, Cesar Gutierrez, Vanessa E. Rubio, David Rolnick

CoRR, April, 2026

Estimating Individual Tree Height and Species from UAV Imagery.

Jannik Endres, Etienne Laliberté, David Rolnick, Arthur Ouaknine

CoRR, March, 2026

SelvaMask: Segmenting Trees in Tropical Forests and Beyond.

Simon-Olivier Duguay, Hugo Baudchon, Etienne Laliberté, Helene C. Muller-Landau, Gonzalo Rivas-Torres, Arthur Ouaknine

CoRR, February, 2026

2025

SelvaBox: A high-resolution dataset for tropical tree crown detection.

Hugo Baudchon, Arthur Ouaknine, Martin Weiss, Mélisande Teng, Thomas R. Walla, Antoine Caron-Guay, Christopher Pal, Etienne Laliberté

CoRR, July, 2025

Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery.

Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle

CoRR, June, 2025

Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery.

Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle

CoRR, March, 2025

GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction.

Eya Cherif, Arthur Ouaknine, Luke A. Brown, Phuong D. Dao, Kyle R. Kovach, Bing Lu, Daniel Mederer, Hannes Feilhauer, Teja Kattenborn, David Rolnick

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring.

Nikolaos-Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis, David Rolnick

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Tree semantic segmentation from aerial image time series.

Venkatesh Ramesh, Arthur Ouaknine, David Rolnick

CoRR, 2024

2023

CARRADA.

Arthur Ouaknine

Dataset, February, 2023

FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models.

Nikolaos-Ioannis Bountos, Arthur Ouaknine, David Rolnick

CoRR, 2023

OpenForest: A data catalogue for machine learning in forest monitoring.

Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté, David Rolnick

CoRR, 2023

2022

Deep learning for radar data exploitation of autonomous vehicle. (Apprentissage profond pour l'exploitation de données radar dans la conduite autonome).

Arthur Ouaknine

PhD thesis, 2022

Deep learning for radar data exploitation of autonomous vehicle.

Arthur Ouaknine

CoRR, 2022

Raw High-Definition Radar for Multi-Task Learning.

Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multi-View Radar Semantic Segmentation.

Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations.

Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez

Proceedings of the 25th International Conference on Pattern Recognition, 2020