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Nicolas Audebert
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- affiliation: ONERA Traitement de l'information et systèmes, Palaiseau, France
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2020 – today
- 2024
- [c24]Georges Le Bellier, Nicolas Audebert:
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models. CVPR Workshops 2024: 481-491 - [c23]Aimi Okabayashi, Nicolas Audebert, Simon Donike, Charlotte Pelletier:
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. CVPR Workshops 2024: 502-511 - [c22]Marc Lafon, Elias Ramzi
, Clément Rambour, Nicolas Audebert
GalLoP: Learning Global and Local Prompts for Vision-Language Models. ECCV (61) 2024: 264-282 - [c21]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Semantic Generative Augmentations for Few-Shot Counting. WACV 2024: 5431-5440 - [i26]Georges Le Bellier, Nicolas Audebert:
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models. CoRR abs/2404.12667 (2024) - [i25]Aimi Okabayashi, Nicolas Audebert, Simon Donike, Charlotte Pelletier:
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. CoRR abs/2404.16409 (2024) - [i24]Valerio Marsocci, Nicolas Audebert:
Cross-sensor self-supervised training and alignment for remote sensing. CoRR abs/2405.09922 (2024) - [i23]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome:
GalLoP: Learning Global and Local Prompts for Vision-Language Models. CoRR abs/2407.01400 (2024) - [i22]Léo Géré, Philippe Rigaux, Nicolas Audebert:
Improved symbolic drum style classification with grammar-based hierarchical representations. CoRR abs/2407.17536 (2024) - 2023
- [c20]Perla Doubinsky
Wasserstein loss for Semantic Editing in the Latent Space of GANs. CBMI 2023: 55-60 - [i21]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Wasserstein Loss for Semantic Editing in the Latent Space of GANs. CoRR abs/2304.10508 (2023) - [i20]Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome:
Optimization of Rank Losses for Image Retrieval. CoRR abs/2309.08250 (2023) - [i19]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Semantic Generative Augmentations for Few-Shot Counting. CoRR abs/2311.16122 (2023) - 2022
- [j5]Javiera Castillo-Navarro
Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study. Mach. Learn. 111(9): 3125-3160 (2022) - [j4]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Multi-attribute balanced sampling for disentangled GAN controls. Pattern Recognit. Lett. 162: 56-62 (2022) - [c19]Elias Ramzi
Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV (14) 2022: 250-266 - [c18]Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert
Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. WCNC 2022: 1039-1044 - [d2]Javiera Castillo-Navarro
MiniFrance. IEEE DataPort, 2022 - [i18]Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert
Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. CoRR abs/2202.03190 (2022) - [i17]Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot:
Hierarchical Average Precision Training for Pertinent Image Retrieval. CoRR abs/2207.04873 (2022) - 2021
- [c17]Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta:
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. ISMIR 2021: 197-204 - [c16]Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot:
Robust and Decomposable Average Precision for Image Retrieval. NeurIPS 2021: 23569-23581 - [c15]Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert:
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree. PKDD/ECML Workshops (1) 2021: 258-267 - [i16]Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta:
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. CoRR abs/2107.14009 (2021) - [i15]Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree. CoRR abs/2108.11629 (2021) - [i14]Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert
Robust and Decomposable Average Precision for Image Retrieval. CoRR abs/2110.01445 (2021) - [i13]Perla Doubinsky, Nicolas Audebert
Multi-Attribute Balanced Sampling for Disentangled GAN Controls. CoRR abs/2111.00909 (2021) - 2020
- [d1]Clément Rambour
SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection. IEEE DataPort, 2020 - [i12]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study. CoRR abs/2010.07830 (2020)
2010 – 2019
- 2019
- [j3]Nicolas Audebert
Distance transform regression for spatially-aware deep semantic segmentation. Comput. Vis. Image Underst. 189 (2019) - [c14]Javiera Castillo-Navarro, Nicolas Audebert
What Data are needed for Semantic Segmentation in Earth Observation? JURSE 2019: 1-4 - [c13]Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal:
Multimodal Deep Networks for Text and Image-Based Document Classification. PKDD/ECML Workshops (1) 2019: 427-443 - [i11]Nicolas Audebert
Deep Learning for Classification of Hyperspectral Data: A Comparative Review. CoRR abs/1904.10674 (2019) - [i10]Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal:
Multimodal deep networks for text and image-based document classification. CoRR abs/1907.06370 (2019) - [i9]Nicolas Audebert
Distance transform regression for spatially-aware deep semantic segmentation. CoRR abs/1909.01671 (2019) - 2018
- [b1]Nicolas Audebert:
Classification de données massives de télédétection. (Classification of big remote sensing data). Bretagne Loire University, Rennes, France, 2018 - [j2]Alexandre Boulch
SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Comput. Graph. 71: 189-198 (2018) - [c12]Nicolas Audebert
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. IGARSS 2018: 4359-4362 - [c11]Bohao Huang, Kangkang Lu, Nicolas Audebert
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 2018: 6947-6950 - [c10]Adrien Chan-Hon-Tong, Nicolas Audebert
Object Detection in Remote Sensing Images with Center Only. IGARSS 2018: 7054-7057 - [i8]Nicolas Audebert
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. CoRR abs/1806.02583 (2018) - 2017
- [j1]Nicolas Audebert
Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. Remote. Sens. 9(4): 368 (2017) - [c9]Alexandre Boulch, Bertrand Le Saux
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. 3DOR@Eurographics 2017 - [c8]Frederico A. Limberger, Richard C. Wilson, Masaki Aono, Nicolas Audebert
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics 2017 - [c7]Emanuele Rodolà, Luca Cosmo
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c6]Nicolas Audebert
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CVPR Workshops 2017: 1552-1560 - [c5]Amina Ben Hamida, Alexandre Benoît, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert
Deep learning for semantic segmentation of remote sensing images with rich spectral content. IGARSS 2017: 2569-2572 - [c4]Nicolas Audebert
Deep learning for urban remote sensing. JURSE 2017: 1-4 - [c3]Nicolas Audebert
Fusion of heterogeneous data in convolutional networks for urban semantic labeling. JURSE 2017: 1-4 - [i7]Nicolas Audebert
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). CoRR abs/1701.05818 (2017) - [i6]Nicolas Audebert
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CoRR abs/1705.06057 (2017) - [i5]Nicolas Audebert
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. CoRR abs/1711.08681 (2017) - [i4]Amina Ben Hamida, Alexandre Benoît
Deep learning for semantic segmentation of remote sensing images with rich spectral content. CoRR abs/1712.01600 (2017) - 2016
- [c2]Nicolas Audebert
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. ACCV (1) 2016: 180-196 - [c1]Nicolas Audebert
How useful is region-based classification of remote sensing images in a deep learning framework? IGARSS 2016: 5091-5094 - [i3]Nicolas Audebert
On the usability of deep networks for object-based image analysis. CoRR abs/1609.06845 (2016) - [i2]Nicolas Audebert
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. CoRR abs/1609.06846 (2016) - [i1]Nicolas Audebert
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework? CoRR abs/1609.06861 (2016)
Coauthor Index
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last updated on 2024-12-23 20:34 CET by the dblp team
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