Nicolas Audebert

According to our database, Nicolas Audebert authored at least 33 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Optimization of Rank Losses for Image Retrieval.

Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araujo, Xavier Bitot, Nicolas Thome

CoRR, 2023

Wasserstein Loss for Semantic Editing in the Latent Space of GANs.

Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne

CoRR, 2023

2022

MiniFrance.

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre

Dataset, June, 2022

Multi-attribute balanced sampling for disentangled GAN controls.

Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne

Pattern Recognit. Lett., 2022

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

Mach. Learn., 2022

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

Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Hierarchical Average Precision Training for Pertinent Image Retrieval.

Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Robust and Decomposable Average Precision for Image Retrieval.

Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation.

Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection.

Clément Rambour, Nicolas Audebert, Elise Colin Koeniguer, Bertrand Le Saux, Michel Crucianu, Mihai Datcu

Dataset, December, 2020

2019

Distance transform regression for spatially-aware deep semantic segmentation.

Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre

Comput. Vis. Image Underst., 2019

Deep Learning for Classification of Hyperspectral Data: A Comparative Review.

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

CoRR, 2019

Multimodal Deep Networks for Text and Image-Based Document Classification.

Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

What Data are needed for Semantic Segmentation in Earth Observation?

Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the Joint Urban Remote Sensing Event, 2019

2018

Classification de données massives de télédétection. (Classification of big remote sensing data).

Nicolas Audebert

PhD thesis, 2018

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

Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert

Comput. Graph., 2018

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, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sébastien Lefèvre, Motaz El-Saban

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Object Detection in Remote Sensing Images with Center Only.

Adrien Chan-Hon-Tong, Nicolas Audebert

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples.

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

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

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

Remote. Sens., 2017

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

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

CoRR, 2017

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

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

CoRR, 2017

Fusion of heterogeneous data in convolutional networks for urban semantic labeling.

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the Joint Urban Remote Sensing Event, 2017

Deep learning for urban remote sensing.

Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet

Proceedings of the Joint Urban Remote Sensing Event, 2017

Deep learning for semantic segmentation of remote sensing images with rich spectral content.

Amina Ben Hamida, Alexandre Benoît, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert, Sébastien Lefèvre

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

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

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Deformable Shape Retrieval with Missing Parts.

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

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys.

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

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks.

Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

2016

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

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

CoRR, 2016

How useful is region-based classification of remote sensing images in a deep learning framework?

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

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

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the Computer Vision - ACCV 2016, 2016