Nicolas Audebert

Orcid: 0000-0001-6486-3102

Affiliations:
  • ONERA Traitement de l'information et systèmes, Palaiseau, France


According to our database1, Nicolas Audebert authored at least 39 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

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Bibliography

2024
Improved symbolic drum style classification with grammar-based hierarchical representations.
CoRR, 2024

Cross-sensor self-supervised training and alignment for remote sensing.
CoRR, 2024

Semantic Generative Augmentations for Few-Shot Counting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GalLoP: Learning Global and Local Prompts for Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Optimization of Rank Losses for Image Retrieval.
CoRR, 2023

Wasserstein loss for Semantic Editing in the Latent Space of GANs.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022

Multi-attribute balanced sampling for disentangled GAN controls.
Pattern Recognit. Lett., 2022

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study.
Mach. Learn., 2022

Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Hierarchical Average Precision Training for Pertinent Image Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM Tree.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Robust and Decomposable Average Precision for Image Retrieval.
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.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020
SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection.
Dataset, December, 2020

2019
Distance transform regression for spatially-aware deep semantic segmentation.
Comput. Vis. Image Underst., 2019

Deep Learning for Classification of Hyperspectral Data: A Comparative Review.
CoRR, 2019

Multimodal Deep Networks for Text and Image-Based Document Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

What Data are needed for Semantic Segmentation in Earth Observation?
Proceedings of the Joint Urban Remote Sensing Event, 2019

2018
Classification de données massives de télédétection. (Classification of big remote sensing data).
PhD thesis, 2018

SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks.
Comput. Graph., 2018

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Object Detection in Remote Sensing Images with Center Only.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples.
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.
Remote. Sens., 2017

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks.
CoRR, 2017

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper).
CoRR, 2017

Fusion of heterogeneous data in convolutional networks for urban semantic labeling.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Deep learning for urban remote sensing.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Deep learning for semantic segmentation of remote sensing images with rich spectral content.
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.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017



Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks.
Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

2016
On the usability of deep networks for object-based image analysis.
CoRR, 2016

How useful is region-based classification of remote sensing images in a deep learning framework?
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.
Proceedings of the Computer Vision - ACCV 2016, 2016


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