Arthur Ouaknine

According to our database, Arthur Ouaknine authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

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

CoRR, July, 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

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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