Nicolas Audebert

65 papers A* 1A 1B 1C 6Journal 37Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	3DSES: An Indoor Lidar Point Cloud Segmentation Dataset with Real and Pseudo-Labels from a 3D Model. VISIGRAPP (2): VISAPP Maxime Mérizette, Nicolas Audebert, Pierre Kervella, Jérôme Verdun
2025	J	`jnl`	3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model. CoRR Maxime Mérizette, Nicolas Audebert, Pierre Kervella, Jérôme Verdun
2025	J	`jnl`	Cross-Sensor Self-Supervised Training and Alignment for Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Valerio Marsocci, Nicolas Audebert
2025	J	`jnl`	Detecting Notational Errors in Digital Music Scores. CoRR Léo Géré, Nicolas Audebert, Florent Jacquemard
2025	J	`jnl`	FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation. CoRR Georges Le Bellier, Nicolas Audebert
2025	J	`jnl`	Optimization of Rank Losses for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome
2025	—	`ed.`	Proceedings of The TerraBytes {ICML} Workshop: Towards global datasets and models for Earth Observation, 19 July 2025, Vancouver, BC, Canada TerraBytes Nicolas Audebert, Hossein Azizpour, Valentin Barrière, Javiera Castillo Navarro, Mikolaj Czerkawski, Heng Fang, Alistair Francis, Valerio Marsocci, Andrea Nascetti, Ritu Yadav
2024	J	`jnl`	Cross-sensor self-supervised training and alignment for remote sensing. CoRR Valerio Marsocci, Nicolas Audebert
2024	—	`conf`	Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. CVPR Workshops Aimi Okabayashi, Nicolas Audebert, Simon Donike, Charlotte Pelletier
2024	J	`jnl`	Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. CoRR Aimi Okabayashi, Nicolas Audebert, Simon Donike, Charlotte Pelletier
2024	—	`conf`	Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models. CVPR Workshops Georges Le Bellier, Nicolas Audebert
2024	J	`jnl`	Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models. CoRR Georges Le Bellier, Nicolas Audebert
2024	—	`conf`	GalLoP: Learning Global and Local Prompts for Vision-Language Models. ECCV (61) Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome
2024	J	`jnl`	GalLoP: Learning Global and Local Prompts for Vision-Language Models. CoRR Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome
2024	—	`conf`	Improved Symbolic Drum Style Classification With Grammar-Based Hierarchical Representations. ISMIR Léo Géré, Nicolas Audebert, Philippe Rigaux
2024	J	`jnl`	Improved symbolic drum style classification with grammar-based hierarchical representations. CoRR Léo Géré, Philippe Rigaux, Nicolas Audebert
2024	J	`jnl`	PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models. CoRR Valerio Marsocci, Yuru Jia, Georges Le Bellier, Dávid Kerekes, Liang Zeng, Sebastian Hafner, Sebastian Gerard, Eric Brune, Ritu Yadav, Ali Shibli, Heng Fang, Yifang Ban, Maarten Vergauwen, Nicolas Audebert, Andrea Nascetti
2024	A	`conf`	Semantic Generative Augmentations for Few-Shot Counting. WACV Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
2023	J	`jnl`	Optimization of Rank Losses for Image Retrieval. CoRR Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome
2023	J	`jnl`	Semantic Generative Augmentations for Few-Shot Counting. CoRR Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
2023	J	`jnl`	Wasserstein Loss for Semantic Editing in the Latent Space of GANs. CoRR Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
2023	C	`conf`	Wasserstein loss for Semantic Editing in the Latent Space of GANs. CBMI Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
2022	B	`conf`	Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. WCNC Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert
2022	J	`jnl`	Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. CoRR Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert
2022	—	`conf`	Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV (14) Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
2022	J	`jnl`	Hierarchical Average Precision Training for Pertinent Image Retrieval. CoRR Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
2022	J	`jnl`	Multi-attribute balanced sampling for disentangled GAN controls. Pattern Recognit. Lett. Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
2022	J	`jnl`	Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study. Mach. Learn. Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
2021	J	`jnl`	Multi-Attribute Balanced Sampling for Disentangled GAN Controls. CoRR Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
2021	—	`conf`	PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. ISMIR Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta
2021	J	`jnl`	PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. CoRR Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta
2021	A*	`conf`	Robust and Decomposable Average Precision for Image Retrieval. NeurIPS Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
2021	J	`jnl`	Robust and Decomposable Average Precision for Image Retrieval. CoRR Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
2021	—	`conf`	Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree. PKDD/ECML Workshops (1) Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert
2021	J	`jnl`	Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree. CoRR Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert
2020	J	`jnl`	Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study. CoRR Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
2019	J	`jnl`	Deep Learning for Classification of Hyperspectral Data: A Comparative Review. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2019	J	`jnl`	Distance transform regression for spatially-aware deep semantic segmentation. CoRR Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
2019	J	`jnl`	Distance transform regression for spatially-aware deep semantic segmentation. Comput. Vis. Image Underst. Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
2019	—	`conf`	Multimodal Deep Networks for Text and Image-Based Document Classification. PKDD/ECML Workshops (1) Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal
2019	J	`jnl`	Multimodal deep networks for text and image-based document classification. CoRR Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal
2019	—	`conf`	What Data are needed for Semantic Segmentation in Earth Observation? JURSE Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
2018	—	`—`	Classification de données massives de télédétection. (Classification of big remote sensing data). Nicolas Audebert
2018	C	`conf`	Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. IGARSS Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2018	J	`jnl`	Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2018	C	`conf`	Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 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
2018	C	`conf`	Object Detection in Remote Sensing Images with Center Only. IGARSS Adrien Chan-Hon-Tong, Nicolas Audebert
2018	J	`jnl`	SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Comput. Graph. Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert
2017	J	`jnl`	Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	C	`conf`	Deep learning for semantic segmentation of remote sensing images with rich spectral content. IGARSS Amina Ben Hamida, Alexandre Benoît, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert, Sébastien Lefèvre
2017	J	`jnl`	Deep learning for semantic segmentation of remote sensing images with rich spectral content. CoRR Amina Ben Hamida, Alexandre Benoît, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert, Sébastien Lefèvre
2017	—	`conf`	Deep learning for urban remote sensing. JURSE Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet
2017	—	`conf`	Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 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
2017	J	`jnl`	Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	Fusion of heterogeneous data in convolutional networks for urban semantic labeling. JURSE Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CVPR Workshops Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	J	`jnl`	Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics 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
2017	J	`jnl`	Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. Remote. Sens. Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. 3DOR@Eurographics Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert
2016	J	`jnl`	How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework? CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	C	`conf`	How useful is region-based classification of remote sensing images in a deep learning framework? IGARSS Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	J	`jnl`	On the usability of deep networks for object-based image analysis. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	—	`conf`	Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. ACCV (1) Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	J	`jnl`	Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre