Nicolas Audebert

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 52

Top Venues

Bretagne Loire University, Rennes, France (PHD)

Education History

Bretagne Loire University, Rennes, France

PHD

Publications

Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome
GalLoP: Learning Global and Local Prompts for Vision-Language Models. CoRR (2024)
Aimi Okabayashi, Nicolas Audebert, Simon Donike, Charlotte Pelletier
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. CoRR (2024)
Valerio Marsocci, Nicolas Audebert
Cross-sensor self-supervised training and alignment for remote sensing. CoRR (2024)
Georges Le Bellier, Nicolas Audebert
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models. CoRR (2024)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Semantic Generative Augmentations for Few-Shot Counting. WACV (2024)
Léo Géré, Philippe Rigaux, Nicolas Audebert
Improved symbolic drum style classification with grammar-based hierarchical representations. CoRR (2024)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Wasserstein Loss for Semantic Editing in the Latent Space of GANs. CoRR (2023)
Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araujo, Xavier Bitot, Nicolas Thome
Optimization of Rank Losses for Image Retrieval. CoRR (2023)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Semantic Generative Augmentations for Few-Shot Counting. CoRR (2023)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Wasserstein loss for Semantic Editing in the Latent Space of GANs. CBMI (2023)
Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert
Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. CoRR (2022)
Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert
Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. WCNC (2022)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Multi-attribute balanced sampling for disentangled GAN controls. Pattern Recognit. Lett. 162 (2022)
Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV (14) (2022)
Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
Hierarchical Average Precision Training for Pertinent Image Retrieval. CoRR (2022)
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study. Mach. Learn. 111 (9) (2022)
Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
Robust and Decomposable Average Precision for Image Retrieval. NeurIPS (2021)
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 (2021)
Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
Robust and Decomposable Average Precision for Image Retrieval. CoRR (2021)
Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. ISMIR (2021)
Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. CoRR (2021)
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)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Multi-Attribute Balanced Sampling for Disentangled GAN Controls. CoRR (2021)
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study. CoRR (2020)
Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal
Multimodal Deep Networks for Text and Image-Based Document Classification. PKDD/ECML Workshops (1) (2019)
Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
Distance transform regression for spatially-aware deep semantic segmentation. Comput. Vis. Image Underst. 189 (2019)
Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
What Data are needed for Semantic Segmentation in Earth Observation? JURSE (2019)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Deep Learning for Classification of Hyperspectral Data: A Comparative Review. CoRR (2019)
Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
Distance transform regression for spatially-aware deep semantic segmentation. CoRR (2019)
Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal
Multimodal deep networks for text and image-based document classification. CoRR (2019)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. CoRR (2018)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. IGARSS (2018)
Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert
SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Comput. Graph. 71 (2018)
Adrien Chan-Hon-Tong, Nicolas Audebert
Object Detection in Remote Sensing Images with Center Only. IGARSS (2018)
Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sébastien Lefèvre, Motaz El-Saban
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS (2018)
Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet
Deep learning for urban remote sensing. JURSE (2017)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Fusion of heterogeneous data in convolutional networks for urban semantic labeling. JURSE (2017)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. CoRR (2017)
Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. 3DOR@Eurographics (2017)
Frederico A. Limberger, Richard C. Wilson, Masaki Aono, Nicolas Audebert, Alexandre Boulch, Benjamin Bustos, Andrea Giachetti, Afzal Godil, Bertrand Le Saux, Bo Li, Yijuan Lu, Hai-Dang Nguyen, V.-T. Nguyen, Viet-Khoi Pham, Ivan Sipiran, Atsushi Tatsuma, Minh-Triet Tran, Santiago Velasco-Forero
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics (2017)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. Remote. Sens. 9 (4) (2017)
Amina Ben Hamida, Alexandre Benoît, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert, Sébastien Lefèvre
Deep learning for semantic segmentation of remote sensing images with rich spectral content. IGARSS (2017)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). CoRR (2017)
Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics (2017)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CoRR (2017)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CVPR Workshops (2017)
Amina Ben Hamida, Alexandre Benoît, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert, Sébastien Lefèvre
Deep learning for semantic segmentation of remote sensing images with rich spectral content. CoRR (2017)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
On the usability of deep networks for object-based image analysis. CoRR (2016)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework? CoRR (2016)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. ACCV (1) (2016)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. CoRR (2016)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
How useful is region-based classification of remote sensing images in a deep learning framework? IGARSS (2016)

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Publication Activity (10 Years)

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Nicolas Audebert