Carrada dataset: Camera and automotive radar with range-angle-doppler annotations A Ouaknine, A Newson, J Rebut, F Tupin, P Perez International Conference on Pattern Recognition (ICPR) 2021, 2021 | 147 | 2021 |
Raw High-Definition Radar for Multi-Task Learning J Rebut, A Ouaknine, W Malik, P Pérez Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 76 | 2022 |
Multi-View Radar Semantic Segmentation A Ouaknine, A Newson, P Pérez, F Tupin, J Rebut International Conference on Computer Vision (ICCV) 2021, 2021 | 71 | 2021 |
Review of deep learning algorithms for object detection A Ouaknine Medium 2018, 2018 | 39 | 2018 |
Review of deep learning algorithms for image semantic segmentation A Ouaknine Medium 2018, 2018 | 11 | 2018 |
OpenForest: A data catalogue for machine learning in forest monitoring A Ouaknine, T Kattenborn, E Laliberté, D Rolnick arXiv preprint arXiv:2311.00277, 2023 | 6 | 2023 |
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models. NI Bountos, A Ouaknine, D Rolnick AGU23 (Oral), 2023 | 3 | 2023 |
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models N Ioannis Bountos, A Ouaknine, D Rolnick arXiv e-prints, arXiv: 2312.10114, 2023 | 3* | 2023 |
Deep learning for radar data exploitation of autonomous vehicle A Ouaknine arXiv preprint arXiv:2203.08038, 2022 | 1 | 2022 |
Tackling Climate Change with Machine Learning: Fostering the Maturity of ML Applications for Climate Change S Madadkhani, OM Ramos, M Chapman, J Dunietz, A Ouaknine, ... ICLR 2024 Workshops, 2024 | | 2024 |
Detangling the role of climate in vegetation productivity with an explainable convolutional neural network RB Lourenço, MJ Smith, S Smullin, U Jain, A Gonsamo, A Ouaknine arXiv preprint arXiv:2310.18703, 2023 | | 2023 |