Bertrand Le Saux

Orcid: 0000-0001-7162-6746

Affiliations:
  • European Space Agency, Rome, Italy


According to our database1, Bertrand Le Saux authored at least 133 papers between 2002 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection.
Eng. Appl. Artif. Intell., 2024

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks.
CoRR, 2024

Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks.
CoRR, 2024

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods.
CoRR, 2024

Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI.
CoRR, 2024

Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities.
CoRR, 2024

Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines.
Proceedings of the IGARSS 2024, 2024

A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching.
Proceedings of the IGARSS 2024, 2024

Utility of Quantum Kernel Machines in Remote Sensing Applications.
Proceedings of the IGARSS 2024, 2024

A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction.
Proceedings of the IGARSS 2024, 2024

Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification.
Proceedings of the IGARSS 2024, 2024

Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models.
Proceedings of the IGARSS 2024, 2024

PhilEO Bench: Evaluating Geo-Spatial Foundation Models.
Proceedings of the IGARSS 2024, 2024

Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images.
Proceedings of the IGARSS 2024, 2024

Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning.
Proceedings of the IGARSS 2024, 2024

2023
A Semi-Supervised Deep Learning Framework for Change Detection in Open-Pit Mines Using SAR Imagery.
Remote. Sens., December, 2023

Rapid training of quantum recurrent neural networks.
Quantum Mach. Intell., December, 2023

Detection of Forest Fires through Deep Unsupervised Learning Modeling of Sentinel-1 Time Series.
ISPRS Int. J. Geo Inf., August, 2023

Weakly supervised change detection using guided anisotropic diffusion.
Mach. Learn., June, 2023

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Space and Artificial Intelligence (Dagstuhl Seminar 23461).
Dagstuhl Reports, 2023

The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation.
CoRR, 2023

Quantum Machine Learning for Remote Sensing: Exploring potential and challenges.
CoRR, 2023

Estimating optical vegetation indices with Sentinel-1 SAR data and AutoML.
CoRR, 2023

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection.
CoRR, 2023

Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data.
CoRR, 2023

IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision.
CoRR, 2023

Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection.
CoRR, 2023

Artificial intelligence to advance Earth observation: a perspective.
CoRR, 2023

Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Unbiased Validation of Hyperspectral Unmixing Algorithms.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-task prompt-RSVQA to explicitly count objects on aerial images.
Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

2022
HRSCD - High Resolution Semantic Change Detection Dataset.
Dataset, December, 2022


Data Fusion Contest 2019 (DFC2019).
Dataset, May, 2022

Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2022

On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights.
Remote. Sens., 2022

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

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series.
IEEE Geosci. Remote. Sens. Lett., 2022

Self-Configuring nnU-Nets Detect Clouds in Satellite Images.
CoRR, 2022

Rapid training of quantum recurrent neural network.
CoRR, 2022

Self-supervised learning - A way to minimize time and effort for precision agriculture?
CoRR, 2022

Beyond Ansätze: Learning Quantum Circuits as Unitary Operators.
CoRR, 2022

Weakly-Supervised Continual Learning for Class-Incremental Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Language Transformers for Remote Sensing Visual Question Answering.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Quantum Convolutional Circuits for Earth Observation Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part B.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Weakly Supervised Change Detection Using Guided Anisotropic Difusion.
CoRR, 2021

How to find a good image-text embedding for remote sensing visual question answering?
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), 2021


Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport.
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

2018 IEEE GRSS Data Fusion Challenge - Fusion of Multispectral LiDAR and Hyperspectral Data.
Dataset, December, 2020

OSCD - Onera Satellite Change Detection.
Dataset, June, 2020

Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Multitask Learning of Height and Semantics From Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2020

Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation.
CoRR, 2020

DISIR: Deep Image Segmentation with Interactive Refinement.
CoRR, 2020

Interactive Learning for Semantic Segmentation in Earth Observation.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

On Auxiliary Losses for Semi-Supervised Semantic Segmentation.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

2019
Data Fusion Contest 2016 (DFC2016).
Dataset, October, 2019

Data Fusion Contest 2017 (DFC2017).
Dataset, October, 2019

ONERA.ROOM.
Dataset, October, 2019

Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Multitask learning for large-scale semantic change detection.
Comput. Vis. Image Underst., 2019

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

Multi-Task Learning of Height and Semantics from Aerial Images.
CoRR, 2019

Technical Report: Co-learning of geometry and semantics for online 3D mapping.
CoRR, 2019

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

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

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Modèles d'Apprentissage Machine pour la Compréhension de Scènes. (Machine Learning Models for Scene Understanding).
, 2019

2018
Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

High Resolution Semantic Change Detection.
CoRR, 2018

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

Railway Detection: From Filtering to Segmentation Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 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

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Learning Speckle Suppression in Sar Images Without Ground Truth: Application to Sentinel-1 Time-Series.
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

Fully Convolutional Siamese Networks for Change Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

On Regression Losses for Deep Depth Estimation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Placeholder: Not to be reviewed (Data fusion contest 2017).
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people.
Proceedings of the 2017 European Conference on Mobile Robots, 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

3D Hand Gesture Recognition Using a Depth and Skeletal Dataset.
Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017



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

2016
Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

2015
Environment mapping & interpretation by drone.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Multimodal classification with deformable part-based models for urban cartography.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Interactive Design of Object Classifiers in Remote Sensing.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Rapid semantic mapping: Learn environment classifiers on the fly.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Urban change detection in SAR images by interactive learning.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Urban structure detection with deformable part-based models.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
GPU-accelerated one-class SVM for exploration of remote sensing data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Boosting for interactive man-made structure classification.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Robust vehicle categorization from aerial images by 3D-template matching and multiple classifier system.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

2008
Micro-rotation imaging deconvolution.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2006
Combining SVM and Graph Matching in a Bayesian Multiple Classifier System for Image Content Recognition.
Proceedings of the Structural, 2006

2005
Feature Selection for Graph-Based Image Classifiers.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004
Image database clustering with SVM-based class personalization.
Proceedings of the Storage and Retrieval Methods and Applications for Multimedia 2004, 2004

Image recognition for digital libraries.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

Image Classifiers for Scene Analysis.
Proceedings of the International Conference on Computer Vision and Graphics, 2004

2003
Adaptive robust clustering with proximity-based merging for video-summary.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002
Unsupervised Categorization for Image Database Overview.
Proceedings of the Recent Advances in Visual Information Systems, 2002

Unsupervised Robust Clustering for Image Database Categorization.
Proceedings of the 16th International Conference on Pattern Recognition, 2002


  Loading...