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ORCIDBertrand Le Saux
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- affiliation: European Space Agency, Rome, Italy
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2020 – today
- 2024
[j26]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: 107835 (2024)- [j25]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: 1434-1445 (2024) - [c69]Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa:
Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. IGARSS 2024: 407-411 - [c68]Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. IGARSS 2024: 412-416 - [c67]Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro:
Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning. IGARSS 2024: 432-436 - [c66]Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Jakub Nalepa:
Utility of Quantum Kernel Machines in Remote Sensing Applications. IGARSS 2024: 799-803 - [c65]Francesco Mauro, Alessandro Sebastianelli, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo:
A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction. IGARSS 2024: 812-816 - [c64]Agata M. Wijata, Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Bogdan Ruszczak, Jakub Nalepa:
Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. IGARSS 2024: 817-822 - [c63]Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini:
A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching. IGARSS 2024: 2630-2635 - [c62]Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux:
PhilEO Bench: Evaluating Geo-Spatial Foundation Models. IGARSS 2024: 2739-2744 - [c61]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. IGARSS 2024: 8167-8172 - [i54]Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux:
PhilEO Bench: Evaluating Geo-Spatial Foundation Models. CoRR abs/2401.04464 (2024) - [i53]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 abs/2403.15356 (2024) - [i52]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 abs/2404.11299 (2024) - [i51]Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini:
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching. CoRR abs/2404.11302 (2024) - [i50]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 abs/2406.18295 (2024) - [i49]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 abs/2407.15776 (2024) - [i48]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 abs/2407.17108 (2024) - [i47]Andrea Ceschini, Francesco Mauro, Francesca De Falco, Alessandro Sebastianelli, Alessio Verdone, Antonello Rosato, Bertrand Le Saux, Massimo Panella, Paolo Gamba, Silvia Liberata Ullo:
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. CoRR abs/2408.06524 (2024) - 2023
- [j24]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): 332 (2023) - [j23]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Weakly supervised change detection using guided anisotropic diffusion. Mach. Learn. 112(6): 2211-2237 (2023) - [j22]Michal Siemaszko, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobinska:
Rapid training of quantum recurrent neural networks. Quantum Mach. Intell. 5(2): 1-16 (2023) - [j21]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): 5664 (2023) - [j20]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: 7601-7613 (2023) - [c60]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 - [c59]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: 792-795 - [c58]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: 796-799 - [c57]Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. IGARSS 2023: 2018-2021 - [c56]Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS 2023: 7344-7347 - [c55]Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa:
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. QCE 2023: 229-235 - [i46]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 abs/2302.08270 (2023) - [i45]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 abs/2303.11705 (2023) - [i44]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 abs/2305.08413 (2023) - [i43]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 abs/2306.09886 (2023) - [i42]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 abs/2306.14515 (2023) - [i41]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 abs/2307.07281 (2023) - [i40]Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa:
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. CoRR abs/2310.02323 (2023) - [i39]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 abs/2310.03499 (2023) - [i38]Juan Francisco 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 abs/2310.13627 (2023) - [i37]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 abs/2311.06222 (2023) - [i36]Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Premysl Stych:
Estimating optical vegetation indices with Sentinel-1 SAR data and AutoML. CoRR abs/2311.07537 (2023) - [i35]Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux, Jakub Mielczarek:
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. CoRR abs/2311.07626 (2023) - [i34]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 abs/2311.16782 (2023) - [i33]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): 72-102 (2023) - 2022
- [j19]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: 1-5 (2022) - [j18]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: 1-5 (2022) - [j17]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): 3125-3160 (2022) - [j16]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): 1694 (2022) - [j15]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: 565-580 (2022) - [j14]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: 3376-3389 (2022) - [j13]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: 1-11 (2022) - [c54]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: 1371-1380 - [c53]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: 4268-4272 - [c52]Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux:
Weakly-Supervised Continual Learning for Class-Incremental Segmentation. IGARSS 2022: 4843-4846 - [c51]Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Language Transformers for Remote Sensing Visual Question Answering. IGARSS 2022: 4855-4858 - [c50]Su Yeon Chang, Bertrand Le Saux, Sofia Vallecorsa, Michele Grossi:
Quantum Convolutional Circuits for Earth Observation Image Classification. IGARSS 2022: 4907-4910 - [d9]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre:
MiniFrance. IEEE DataPort, 2022
- [d8]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
HRSCD - High Resolution Semantic Change Detection Dataset. IEEE DataPort, 2022 - [d7]Bertrand Le Saux, Naoto Yokoya, Ronny Hänsch, Myron Brown:
Data Fusion Contest 2019 (DFC2019). IEEE DataPort, 2022 - [i32]Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux:
Weakly-supervised continual learning for class-incremental segmentation. CoRR abs/2201.01029 (2022) - [i31]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 abs/2201.01047 (2022) - [i30]Bálint Máté, Bertrand Le Saux, Maxwell Henderson:
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators. CoRR abs/2203.00601 (2022) - [i29]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 abs/2204.02100 (2022) - [i28]Michal Siemaszko, Thomas McDermott, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobinska:
Rapid training of quantum recurrent neural network. CoRR abs/2207.00378 (2022) - [i27]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 abs/2208.02349 (2022) - [i26]Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR abs/2208.02361 (2022) - [i25]Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR abs/2210.13659 (2022) - 2021
- [j12]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: 922-935 (2021) - [j11]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: 1158-1170 (2021) - [c49]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: 2098-2101 - [c48]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: 5680-5683 - [c47]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: 1-5 - [c46]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: 292-313 - [c45]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 - [i24]Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho:
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. CoRR abs/2107.14498 (2021) - [i23]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 abs/2109.09484 (2021) - [i22]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 abs/2109.11848 (2021) - [i21]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Weakly Supervised Change Detection Using Guided Anisotropic Difusion. CoRR abs/2112.15367 (2021) - 2020
- [j10]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): 1391-1395 (2020) - [j9]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: 6515-6518 (2020) - [c44]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre:
On Auxiliary Losses for Semi-Supervised Semantic Segmentation. MACLEAN@PKDD/ECML 2020 - [c43]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 - [d6]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
OSCD - Onera Satellite Change Detection. IEEE DataPort, 2020 - [d5]Saurabh Prasad, Bertrand Le Saux, Naoto Yokoya, Ronny Hänsch:
2018 IEEE GRSS Data Fusion Challenge - Fusion of Multispectral LiDAR and Hyperspectral Data. IEEE DataPort, 2020 - [d4]Clément Rambour, Nicolas Audebert, Elise Colin Koeniguer, Bertrand Le Saux, Michel Crucianu, Mihai Datcu:
SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection. IEEE DataPort, 2020 - [i20]Gaston Lenczner, Bertrand Le Saux, Nicola Luminari, Adrien Chan-Hon-Tong, Guy Le Besnerais:
DISIR: Deep Image Segmentation with Interactive Refinement. CoRR abs/2003.14200 (2020) - [i19]Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais:
Interactive Learning for Semantic Segmentation in Earth Observation. CoRR abs/2009.11250 (2020) - [i18]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 abs/2010.07830 (2020) - [i17]Veda Sunkara, Matthew Purri, Bertrand Le Saux, Jennifer Adams:
Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation. CoRR abs/2011.08010 (2020)
2010 – 2019
- 2019
- [b1]Bertrand Le Saux:
Modèles d'Apprentissage Machine pour la Compréhension de Scènes. (Machine Learning Models for Scene Understanding). University of Paris-Saclay, France, 2019 - [j8]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Multitask learning for large-scale semantic change detection. Comput. Vis. Image Underst. 187 (2019) - [j7]Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
Distance transform regression for spatially-aware deep semantic segmentation. Comput. Vis. Image Underst. 189 (2019) - [j6]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): 1709-1724 (2019) - [c42]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CVPR Workshops 2019: 1461-1470 - [c41]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: 5602-5605 - [c40]Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
What Data are needed for Semantic Segmentation in Earth Observation? JURSE 2019: 1-4 - [d3]Joris Guerry, Bertrand Le Saux:
ONERA.ROOM. IEEE DataPort, 2019 - [d2]Devis Tuia, Gabriele Moser, Bertrand Le Saux, Benjamin Bechtel:
Data Fusion Contest 2017 (DFC2017). IEEE DataPort, 2019 - [d1]Devis Tuia, Gabriele Moser, Bertrand Le Saux, Roberto Fabrizi, Sven Cowan:
Data Fusion Contest 2016 (DFC2016). IEEE DataPort, 2019 - [i16]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CoRR abs/1904.08208 (2019) - [i15]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Deep Learning for Classification of Hyperspectral Data: A Comparative Review. CoRR abs/1904.10674 (2019) - [i14]Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
Distance transform regression for spatially-aware deep semantic segmentation. CoRR abs/1909.01671 (2019) - [i13]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 abs/1911.01082 (2019) - [i12]Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa:
Multi-Task Learning of Height and Semantics from Aerial Images. CoRR abs/1911.07543 (2019) - 2018
- [j5]Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert:
SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Comput. Graph. 71: 189-198 (2018) - [j4]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): 1363-1377 (2018) - [c39]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: 307-323 - [c38]Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat:
On Regression Losses for Deep Depth Estimation. ICIP 2018: 2915-2919 - [c37]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch:
Fully Convolutional Siamese Networks for Change Detection. ICIP 2018: 4063-4067 - [c36]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. IGARSS 2018: 2115-2118 - [c35]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: 2366-2369 - [c34]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. IGARSS 2018: 4359-4362 - [c33]Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Jérémie Brossard, Antoine Manier, Guilhem Villemin:
Railway Detection: From Filtering to Segmentation Networks. IGARSS 2018: 4819-4822 - [c32]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: 6947-6950 - [i11]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. CoRR abs/1806.02583 (2018) - [i10]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 abs/1809.01567 (2018) - [i9]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
High Resolution Semantic Change Detection. CoRR abs/1810.08452 (2018) - [i8]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch:
Fully Convolutional Siamese Networks for Change Detection. CoRR abs/1810.08462 (2018) - [i7]Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. CoRR abs/1810.08468 (2018) - 2017
- [j3]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. Remote. Sens. 9(4): 368 (2017) - [j2]Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia:
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3435-3447 (2017) - [c31]Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert:
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. 3DOR@Eurographics 2017 - [c30]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:
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics 2017 - [c29]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:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c28]Quentin De Smedt, Hazem Wannous, Jean-Philippe Vandeborre, Joris Guerry, Bertrand Le Saux, David Filliat:
3D Hand Gesture Recognition Using a Depth and Skeletal Dataset. 3DOR@Eurographics 2017 - [c27]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CVPR Workshops 2017: 1552-1560 - [c26]Joris Guerry, Bertrand Le Saux, David Filliat:
"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people. ECMR 2017: 1-6 - [c25]Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, David Filliat:
SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. ICCV Workshops 2017: 669-678 - [c24]Bertrand Le Saux:
Placeholder: Not to be reviewed (Data fusion contest 2017). IGARSS 2017: 1193-1196 - [c23]Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet:
Deep learning for urban remote sensing. JURSE 2017: 1-4 - [c22]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Fusion of heterogeneous data in convolutional networks for urban semantic labeling. JURSE 2017: 1-4 - [i6]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). CoRR abs/1701.05818 (2017) - [i5]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CoRR abs/1705.06057 (2017) - [i4]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. CoRR abs/1711.08681 (2017) - 2016
- [j1]Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia:
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. 9(12): 5547-5559 (2016) - [c21]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. ACCV (1) 2016: 180-196 - [c20]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
How useful is region-based classification of remote sensing images in a deep learning framework? IGARSS 2016: 5091-5094 - [i3]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
On the usability of deep networks for object-based image analysis. CoRR abs/1609.06845 (2016) - [i2]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. CoRR abs/1609.06846 (2016) - [i1]Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework? CoRR abs/1609.06861 (2016) - 2015
- [c19]Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu:
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks. IGARSS 2015: 4173-4176 - [c18]Martial Sanfourche, Bertrand Le Saux, Aurélien Plyer, Guy Le Besnerais:
Environment mapping & interpretation by drone. JURSE 2015: 1-4 - 2014
- [c17]Bertrand Le Saux:
Interactive Design of Object Classifiers in Remote Sensing. ICPR 2014: 2572-2577 - [c16]Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu:
Multimodal classification with deformable part-based models for urban cartography. IGARSS 2014: 203-206 - 2013
- [c15]Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu:
Urban structure detection with deformable part-based models. IGARSS 2013: 200-203 - [c14]Bertrand Le Saux, Hicham Randrianarivo:
Urban change detection in SAR images by interactive learning. IGARSS 2013: 3990-3993 - [c13]Bertrand Le Saux, Martial Sanfourche:
Rapid semantic mapping: Learn environment classifiers on the fly. IROS 2013: 3725-3730 - 2012
- [c12]Nicolas Chauffert, Jonathan Israel, Bertrand Le Saux:
Boosting for interactive man-made structure classification. IGARSS 2012: 6856-6859 - [c11]Fabien Giannesini, Bertrand Le Saux:
GPU-accelerated one-class SVM for exploration of remote sensing data. IGARSS 2012: 7349-7352 - 2011
- [c10]Bertrand Le Saux, Martial Sanfourche:
Robust vehicle categorization from aerial images by 3D-template matching and multiple classifier system. ISPA 2011: 466-470
2000 – 2009
- 2008
- [c9]Bertrand Le Saux, Bernard Chalmond, Yong Yu, Alain Trouvé, Olivier Renaud, Spencer L. Shorte:
Micro-rotation imaging deconvolution. ISBI 2008: 1367-1370 - 2006
- [c8]Bertrand Le Saux, Horst Bunke:
Combining SVM and Graph Matching in a Bayesian Multiple Classifier System for Image Content Recognition. SSPR/SPR 2006: 696-704 - 2005
- [c7]Bertrand Le Saux, Horst Bunke:
Feature Selection for Graph-Based Image Classifiers. IbPRIA (2) 2005: 147-154 - 2004
- [c6]Bertrand Le Saux, Giuseppe Amato:
Image Classifiers for Scene Analysis. ICCVG 2004: 39-44 - [c5]Bertrand Le Saux, Giuseppe Amato:
Image recognition for digital libraries. Multimedia Information Retrieval 2004: 91-98 - [c4]Bertrand Le Saux, Nozha Boujemaa:
Image database clustering with SVM-based class personalization. Storage and Retrieval Methods and Applications for Multimedia 2004: 9-19 - 2003
- [c3]Bertrand Le Saux, Nizar Grira, Nozha Boujemaa:
Adaptive robust clustering with proximity-based merging for video-summary. FUZZ-IEEE 2003: 1188-1192 - 2002
- [c2]Bertrand Le Saux, Nozha Boujemaa:
Unsupervised Robust Clustering for Image Database Categorization. ICPR (1) 2002: 259-262 - [c1]Bertrand Le Saux, Nozha Boujemaa:
Unsupervised Categorization for Image Database Overview. VISUAL 2002: 163-174
Coauthor Index
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