Nicolas Audebert

Documents

Presentation

English
French

Publications

	Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study Javiera Castillo-Navarro , Bertrand Le Saux , Alexandre Boulch , Nicolas Audebert , Sébastien Lefèvre Machine Learning, 2022, 111, pp.3125-3160. ⟨10.1007/s10994-020-05943-y⟩ Journal articles hal-03132924v1
	Multi-attribute balanced sampling for disentangled GAN controls Perla Doubinsky , Nicolas Audebert , Michel Crucianu , Hervé Le Borgne Pattern Recognition Letters, 2022, 162, pp.56-62. ⟨10.1016/j.patrec.2022.08.012⟩ Journal articles hal-03404279v3
	Multi-attribute balanced sampling for disentangled GAN controls Perla Doubinsky , Nicolas Audebert , Michel Crucianu , Hervé Le Borgne Pattern Recognition Letters, 2022, 162, pp.56-62. ⟨10.1016/j.patrec.2022.08.012⟩ Journal articles hal-03404279v1
	Flood detection in time series of optical and sar images Clément Rambour , Nicolas Audebert , E. Koeniguer , B. Le Saux , M. Crucianu ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, XLIII-B2-2020, pp.1343-1346. ⟨10.5194/isprs-archives-XLIII-B2-2020-1343-2020⟩ Journal articles hal-02924220v1
	Distance transform regression for spatially-aware deep semantic segmentation Nicolas Audebert , Alexandre Boulch , Bertrand Le Saux , Sébastien Lefèvre Computer Vision and Image Understanding, 2019, 189, pp.102809. ⟨10.1016/j.cviu.2019.102809⟩ Journal articles hal-02277621v1
	Deep Learning for Classification of Hyperspectral Data: A Comparative Review Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre IEEE geoscience and remote sensing magazine, 2019, 7 (2), pp.159-173. ⟨10.1109/MGRS.2019.2912563⟩ Journal articles hal-02104998v1
	Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 140, pp.20-32. ⟨10.1016/j.isprsjprs.2017.11.011⟩ Journal articles hal-01636145v1
	Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre Remote Sensing, 2017, 9 (4), page 1-18. ⟨10.3390/rs9040368⟩ Journal articles hal-01529624v1
	SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks Alexandre Boulch , Joris Guerry , Bertrand Le Saux , Nicolas Audebert Computers and Graphics, 2017, 71, pp.189-198. ⟨10.1016/j.cag.2017.11.010⟩ Journal articles hal-02467932v1

	Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models Georges Le Bellier , Nicolas Audebert EARTHVISION 2024 IEEE/CVF CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Jun 2024, Seattle, United States Conference papers hal-04551408v1
	Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series Aimi Okabayashi , Nicolas Audebert , Simon Donike , Charlotte Pelletier EARTHVISION 2024 IEEE/CVF CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Jun 2024, Seattle, United States Conference papers hal-04552850v1
	GalLoP: Learning Global and Local Prompts for Vision-Language Models Marc Lafon , Elias Ramzi , Clément Rambour , Nicolas Audebert , Nicolas Thome The 18th European Conference on Computer Vision ECCV 2024, Sep 2024, Milan, Italy. ⟨10.48550/arXiv.2407.01400⟩ Conference papers hal-04635800v1
	Semantic Generative Augmentations for Few-Shot Counting Perla Doubinsky , Nicolas Audebert , Michel Crucianu , Hervé Le Borgne IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024, Waikoloa, Hawaii, United States Conference papers hal-04259058v1
	Improved symbolic drum style classification with grammar-based hierarchical representations Léo Géré , Nicolas Audebert , Philippe Rigaux International Society for Music Information Retrieval Conference 2024, Nov 2024, San Francisco, United States Conference papers hal-04660056v1
	Wasserstein Loss for Semantic Editing in the Latent Space of GANs Perla Doubinsky , Nicolas Audebert , Michel Crucianu , Hervé Le Borgne 20th International Conference on Content-based Multimedia Indexing, Sep 2023, Orléans, France Conference papers hal-04036414v1
	Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities Xinying Cheng , Rafik Zayani , Marin Ferecatu , Nicolas Audebert IEEE Wireless Communications and Networking Conference, Apr 2022, Austin, United States Conference papers hal-03551457v1
	Caractérisation du répertoire vocal des chimpanzés par apprentissage profond Nicolas Audebert , Marion Laporte Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jul 2022, Vannes, France Conference papers hal-03678311v1
	Now you see me: finding the right observation space to learn diverse behaviours by reinforcement in games Raphaël Boige , Nicolas Audebert , Clément Rambour , Guillaume Levieux Conférence sur l'Apprentissage automatique (CAp), Jul 2022, Vannes, France Conference papers hal-03678280v1
	Hierarchical Average Precision Training for Pertinent Image Retrieval Elias Ramzi , Nicolas Audebert , Nicolas Thome , Clément Rambour , Xavier Bitot ECCV 2022, Oct 2022, Tel-Aviv, Israel Conference papers hal-03712933v2
	Robust and Decomposable Average Precision for Image Retrieval Elias Ramzi , Nicolas Thome , Clément Rambour , Nicolas Audebert , Xavier Bitot Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Sydney, Australia Conference papers hal-03359605v3
	Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree Chen Dang , Hicham Randrianarivo , Raphaël Fournier-S'Niehotta , Nicolas Audebert GEM: Graph Embedding and Mining - ECML/PKDD Workshops, Sep 2021, Bilbao, Spain. pp.258-267, ⟨10.1007/978-3-030-93736-2_20⟩ Conference papers hal-03324009v1
	PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation Francesco Foscarin , Nicolas Audebert , Raphaël Fournier-S'Niehotta International Society for Music Information Retrieval Conference (ISMIR), Nov 2021, Online, India Conference papers hal-03300102v1
	A real-world hyperspectral image processing workflow for vegetation stress and hydrocarbon indirect detection Dominique Dubucq , Nicolas Audebert , Véronique Achard , Alexandre Alakian , Sophie Fabre XXIV ISPRS Congress, Aug 2020, Nice, France. ⟨10.5194/isprs-archives-XLIII-B3-2020-395-2020⟩ Conference papers hal-02924091v1
	What Data are needed for Semantic Segmentation in Earth Observation? Javiera Castillo-Navarro , Nicolas Audebert , Alexandre Boulch , Bertrand Le Saux , Sébastien Lefèvre 2019 Joint Urban Remote Sensing Event (JURSE), May 2019, Vannes, France. pp.1-4, ⟨10.1109/JURSE.2019.8809071⟩ Conference papers hal-02343915v2
	Multimodal deep networks for text and image-based document classification Nicolas Audebert , Catherine Herold , Kuider Slimani , Cédric Vidal Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA), Jul 2019, Toulouse, France Conference papers hal-02163257v1
	Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. ⟨10.1109/IGARSS.2018.8518321⟩ Conference papers hal-01809872v1
	Segmentation sémantique profonde par régression sur cartes de distances signées Nicolas Audebert , Alexandre Boulch , Bertrand Le Saux , Sébastien Lefèvre Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jun 2018, Marne-la-Vallée, France Conference papers hal-01809991v1
	Object detection in remote sensing images with center only Adrien Chan-Hon-Tong , Nicolas Audebert IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, Valence, Spain. ⟨10.1109/IGARSS.2018.8517860⟩ Conference papers hal-01412086v6
	Large-scale semantic classification: outcome of the first year of Inria aerial image labeling benchmark Bohao Huang , Kangkang Lu , Nicolas Audebert , Andrew Khalel , Yuliya Tarabalka IGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.1-4, ⟨10.1109/IGARSS.2018.8518525⟩ Conference papers hal-01767807v1
	DEEP LEARNING FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES WITH RICH SPECTRAL CONTENT Amina Ben Hamida , Alexandre Benoit , P. Lambert , L Klein , Chokri Ben Amar IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States Conference papers hal-01654187v1
	Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre EARTHVISION 2017 IEEE/ISPRS CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Jul 2017, Honolulu, United States. ⟨10.1109/CVPRW.2017.199⟩ Conference papers hal-01523573v1
	Réseaux de neurones profonds et fusion de données pour la segmentation sémantique d'images aériennes Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre ORASIS, GREYC, 2017, Colleville-sur-Mer, France Conference papers hal-01672871v1
	Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper) Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre Joint Urban Remote Sensing Event (JURSE), Mar 2017, Dubai, United Arab Emirates. ⟨10.1109/JURSE.2017.7924566⟩ Conference papers hal-01438499v1
	Couplage de données géographiques participatives et d'images aériennes par apprentissage profond Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre GRETSI, 2017, Juan-les-Pins, France Conference papers hal-01672870v1
	Deep learning for urban remote sensing Nicolas Audebert , Alexandre Boulch , Hicham Randrianarivo , Bertrand Le Saux , Marin Ferecatu Joint Urban Remote Sensing Event (JURSE), Mar 2017, Dubai, United Arab Emirates. ⟨10.1109/JURSE.2017.7924536⟩ Conference papers hal-01672854v1
	How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework? Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre IEEE International Geosciences and Remote Sensing Symposium (IGARSS), Jul 2016, Beijing, China. ⟨10.1109/IGARSS.2016.7730327⟩ Conference papers hal-01320016v1
	Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre Asian Conference on Computer Vision (ACCV16), Nov 2016, Taipei, Taiwan. ⟨10.1007/978-3-319-54181-5_12⟩ Conference papers hal-01360166v1
	On the usability of deep networks for object-based image analysis Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre International Conference on Geographic Object-Based Image Analysis (GEOBIA), Sep 2016, Enschede, Netherlands Conference papers hal-01320010v1

	Cross-sensor self-supervised training and alignment for remote sensing Valerio Marsocci , Nicolas Audebert 2024 Preprints, Working Papers, ... hal-04576064v1

	Classification de données massives de télédétection Nicolas Audebert Vision par ordinateur et reconnaissance de formes [cs.CV]. Université de Bretagne Sud, 2018. Français. ⟨NNT : 2018LORIS502⟩ Theses tel-02073908v1

Nicolas Audebert

Presentation

Publications

Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study

Multi-attribute balanced sampling for disentangled GAN controls

Multi-attribute balanced sampling for disentangled GAN controls

Flood detection in time series of optical and sar images

Distance transform regression for spatially-aware deep semantic segmentation

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images

SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks

Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models

Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series

GalLoP: Learning Global and Local Prompts for Vision-Language Models

Semantic Generative Augmentations for Few-Shot Counting

Improved symbolic drum style classification with grammar-based hierarchical representations

Wasserstein Loss for Semantic Editing in the Latent Space of GANs

Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities

Caractérisation du répertoire vocal des chimpanzés par apprentissage profond

Now you see me: finding the right observation space to learn diverse behaviours by reinforcement in games

Hierarchical Average Precision Training for Pertinent Image Retrieval

Robust and Decomposable Average Precision for Image Retrieval

Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation

A real-world hyperspectral image processing workflow for vegetation stress and hydrocarbon indirect detection

What Data are needed for Semantic Segmentation in Earth Observation?

Multimodal deep networks for text and image-based document classification

Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples

Segmentation sémantique profonde par régression sur cartes de distances signées

Object detection in remote sensing images with center only

Large-scale semantic classification: outcome of the first year of Inria aerial image labeling benchmark

DEEP LEARNING FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES WITH RICH SPECTRAL CONTENT

Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps

Réseaux de neurones profonds et fusion de données pour la segmentation sémantique d'images aériennes

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)

Couplage de données géographiques participatives et d'images aériennes par apprentissage profond

Deep learning for urban remote sensing

How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks

On the usability of deep networks for object-based image analysis

Cross-sensor self-supervised training and alignment for remote sensing

Classification de données massives de télédétection