Bertrand Le Saux

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 120

Top Venues

CoRR

IGARSS

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

3DOR@Eurographics

Publications

Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching. CoRR (2024)
Nikolaos Dionelis, Casper Fibaek, Luke Camilleri, Andreas Luyts, Jente Bosmans, Bertrand Le Saux
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI. CoRR (2024)
Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR (2024)
Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti, Dario Spiller, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks. CoRR (2024)
Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek, Bertrand Le Saux, Jakub Nalepa
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods. CoRR (2024)
Nikolaos Dionelis, Francesco Pro, Luca Maiano, Irene Amerini, Bertrand Le Saux
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images. CoRR (2024)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. 132 (2024)
Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux
PhilEO Bench: Evaluating Geo-Spatial Foundation Models. CoRR (2024)
J. F. Amieva, A. Austoni, Maria A. Brovelli, Luigi Ansalone, P. Naylor, Federico Serva, Bertrand Le Saux
Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data. CoRR (2023)
Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider
Artificial intelligence to advance Earth observation: a perspective. CoRR (2023)
Fulvio Sanguigni, Mikolaj Czerkawski, Lorenzo Papa, Irene Amerini, Bertrand Le Saux
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection. CoRR (2023)
Michal Siemaszko, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobinska
Rapid training of quantum recurrent neural networks. Quantum Mach. Intell. 5 (2) (2023)
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. CoRR (2023)
Christel Chappuis, Charlotte Sertic, Nicola Santacroce, Javiera Castillo Navarro, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
Multi-task prompt-RSVQA to explicitly count objects on aerial images. BMVC Workshop (2023)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. CoRR (2023)
Thomas Di Martino, Bertrand Le Saux, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Elise Colin
Detection of Forest Fires through Deep Unsupervised Learning Modeling of Sentinel-1 Time Series. ISPRS Int. J. Geo Inf. 12 (8) (2023)
Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Premysl Stych
Estimating optical vegetation indices with Sentinel-1 SAR data and AutoML. CoRR (2023)
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. QCE (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. IGARSS (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels. CoRR (2023)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Weakly supervised change detection using guided anisotropic diffusion. Mach. Learn. 112 (6) (2023)
Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. IGARSS (2023)
Gianluca Murdaca, Federico Ricciuti, Alessio Rucci, Bertrand Le Saux, Alfio Fumagalli, Claudio Maria Prati
A Semi-Supervised Deep Learning Framework for Change Detection in Open-Pit Mines Using SAR Imagery. Remote. Sens. 15 (24) (2023)
Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux, Jakub Mielczarek
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images. CoRR (2023)
Saso Dzeroski, Holger H. Hoos, Bertrand Le Saux, Leendert van der Torre, Ana Kostovska
Space and Artificial Intelligence (Dagstuhl Seminar 23461). Dagstuhl Reports 13 (11) (2023)
Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. IGARSS (2023)
Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision. CoRR (2023)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS (2023)
Christel Chappuis, Eliot Walt, Vincent Mendez, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation. CoRR (2023)
Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux
Weakly-Supervised Continual Learning for Class-Incremental Segmentation. IGARSS (2022)
Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. CoRR (2022)
Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux
Weakly-supervised continual learning for class-incremental segmentation. CoRR (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR (2022)
Bálint Máté, Bertrand Le Saux, Maxwell Henderson
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators. CoRR (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR (2022)
Michal Siemaszko, Thomas McDermott, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobinska
Rapid training of quantum recurrent neural network. CoRR (2022)
Alessandro Sebastianelli, Daniela Alessandra Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre
Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Su Yeon Chang, Bertrand Le Saux, Sofia Vallecorsa, Michele Grossi
Quantum Convolutional Circuits for Earth Observation Image Classification. IGARSS (2022)
Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
Language Transformers for Remote Sensing Visual Question Answering. IGARSS (2022)
Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. CVPR Workshops (2022)
Marco Fiorucci, Wouter B. Verschoof-van der Vaart, Paolo Soleni, Bertrand Le Saux, Arianna Traviglia
Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights. Remote. Sens. 14 (7) (2022)
Michael L. Marszalek, Bertrand Le Saux, Pierre-Philippe Mathieu, Artur Nowakowski, Daniel Springer
Self-supervised learning - A way to minimize time and effort for precision agriculture? CoRR (2022)
Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. 19 (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)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Weakly Supervised Change Detection Using Guided Anisotropic Difusion. CoRR (2021)
Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
How to find a good image-text embedding for remote sensing visual question answering? CoRR (2021)
Yanchao Lian, Tuo Feng, Jinliu Zhou, Meixia Jia, Aijin Li, Zhaoyang Wu, Licheng Jiao, Myron Brown, Gregory D. Hager, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux
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. 14 (2021)
Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. CoRR (2021)
Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
How to find a good image-text embedding for remote sensing visual question answering? MACLEAN@PKDD/ECML (2021)
Daniela Alessandra Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. IGARSS (2021)
Alessandro Sebastianelli, Daniela Alessandra Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. CoRR (2021)
Saket Kunwar, Hongyu Chen, Manhui Lin, Hongyan Zhang, Pablo d'Angelo, Daniele Cerra, Seyed Majid Azimi, Myron Brown, Gregory D. Hager, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux
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. 14 (2021)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K Kopp, Sepp Hochreiter, David P. Kreil
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) (2021)
Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. MVA (2021)
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre
Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model. IGARSS (2021)
Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
Interactive Learning for Semantic Segmentation in Earth Observation. CoRR (2020)
Veda Sunkara, Matthew Purri, Bertrand Le Saux, Jennifer Adams
Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation. CoRR (2020)
Devis Tuia, Ronny Hänsch, Naoto Yokoya, Myron Brown, Bertrand Le Saux
Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
Multitask Learning of Height and Semantics From Aerial Images. IEEE Geosci. Remote. Sens. Lett. 17 (8) (2020)
Gaston Lenczner, Bertrand Le Saux, Nicola Luminari, Adrien Chan-Hon-Tong, Guy Le Besnerais
DISIR: Deep Image Segmentation with Interactive Refinement. CoRR (2020)
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)
Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
Interactive Learning for Semantic Segmentation in Earth Observation. MACLEAN@PKDD/ECML (2020)
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre
On Auxiliary Losses for Semi-Supervised Semantic Segmentation. MACLEAN@PKDD/ECML (2020)
Rodrigo Caye Daudt, Adrien Chan-Hon-Tong, Bertrand Le Saux, Alexandre Boulch
Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth. IGARSS (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)
Yonghao Xu, Bo Du, Liangpei Zhang, Daniele Cerra, Miguel Pato, Emiliano Carmona, Saurabh Prasad, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux
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. 12 (6) (2019)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Multitask learning for large-scale semantic change detection. Comput. Vis. Image Underst. 187 (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)
Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux
Technical Report: Co-learning of geometry and semantics for online 3D mapping. CoRR (2019)
Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
Distance transform regression for spatially-aware deep semantic segmentation. CoRR (2019)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
Multi-Task Learning of Height and Semantics from Aerial Images. CoRR (2019)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CVPR Workshops (2019)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CoRR (2019)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
High Resolution Semantic Change Detection. CoRR (2018)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. CoRR (2018)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
Fully Convolutional Siamese Networks for Change Detection. ICIP (2018)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. IGARSS (2018)
Naoto Yokoya, Pedram Ghamisi, Junshi Xia, Sergey Sukhanov, Roel Heremans, Ivan Tankoyeu, Benjamin Bechtel, Bertrand Le Saux, Gabriele Moser, Devis Tuia
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. 11 (5) (2018)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? ECCV Workshops (1) (2018)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
Fully Convolutional Siamese Networks for Change Detection. CoRR (2018)
Alexandre Boulch, Pauline Trouvé, Elise Colin Koeniguer, Fabrice Janez, Bertrand Le Saux
Learning Speckle Suppression in Sar Images Without Ground Truth: Application to Sentinel-1 Time-Series. IGARSS (2018)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. CoRR (2018)
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. 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)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? CoRR (2018)
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
On Regression Losses for Deep Depth Estimation. ICIP (2018)
Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Jérémie Brossard, Antoine Manier, Guilhem Villemin
Railway Detection: From Filtering to Segmentation Networks. 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)
Bertrand Le Saux
Placeholder: Not to be reviewed (Data fusion contest 2017). IGARSS (2017)

Bertrand Le Saux.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Bertrand Le Saux