Bertrand Le Saux

160 papers A 1B 5C 33Misc 3Journal 90Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning. CoRR Fan Fan, Yilei Shi, Mihai Datcu, Bertrand Le Saux, Luigi Iapichino, Francesca Bovolo, Silvia Liberata Ullo, Xiao Xiang Zhu
2025	J	`jnl`	AI for space: theories, models and applications. Neural Comput. Appl. Cosimo Ieracitano, Nadia Mammone, Piergiorgio Lanza, Fei Gao, Bertrand Le Saux, Roberto Furfaro, Francesco Carlo Morabito
2025	J	`jnl`	MUMUCD: A Multimodal Multiclass Change Detection Dataset. IEEE Geosci. Remote. Sens. Lett. Federico Serva, Alessandro Sebastianelli, Bertrand Le Saux, Federico Ricciuti
2025	J	`jnl`	Multitemporal Multispectral Dataset for Palaeochannels Segmentation (MAPS). IEEE Access Giulio Poggi, Andaleeb Yaseen, Raveerat Jaturapitpornchai, Sara Ferro, Gregory Sech, Peter Naylor, Maria Cristina Salvi, Sebastiano Vascon, Bertrand Le Saux, Marco Fiorucci, Arianna Traviglia
2025	J	`jnl`	On hybrid quanvolutional neural networks optimization. Quantum Mach. Intell. Andrea Ceschini, Andrea Carbone, Alessandro Sebastianelli, Massimo Panella, Bertrand Le Saux
2025	J	`jnl`	Quanv4EO: Empowering Earth Observation by Means of Quanvolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti, Dario Spiller, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo
2025	J	`jnl`	Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset. CoRR Nikolaos Dionelis, Jente Bosmans, Riccardo Musto, Giancarlo Paoletti, Simone Sarti, Giacomo Cascarano, Casper Fibaek, Luke Camilleri, Bertrand Le Saux, Nicolas Longépé
2024	C	`conf`	A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction. IGARSS Francesco Mauro, Alessandro Sebastianelli, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo
2024	C	`conf`	A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching. IGARSS Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini
2024	J	`jnl`	A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching. CoRR Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini
2024	J	`jnl`	A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
2024	C	`conf`	Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. IGARSS Agata M. Wijata, Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Bogdan Ruszczak, Jakub Nalepa
2024	C	`conf`	Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. IGARSS Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2024	J	`jnl`	Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI. CoRR Nikolaos Dionelis, Casper Fibaek, Luke Camilleri, Andreas Luyts, Jente Bosmans, Bertrand Le Saux
2024	J	`jnl`	From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. CoRR Andrea Ceschini, Francesco Mauro, Francesca De Falco, Alessandro Sebastianelli, Alessio Verdone, Antonello Rosato, Bertrand Le Saux, Massimo Panella, Paolo Gamba, Silvia Liberata Ullo
2024	J	`jnl`	IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI. CoRR Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann
2024	J	`jnl`	In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods. CoRR Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek, Bertrand Le Saux, Jakub Nalepa
2024	J	`jnl`	Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images. CoRR Nikolaos Dionelis, Francesco Pro, Luca Maiano, Irene Amerini, Bertrand Le Saux
2024	C	`conf`	Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images. IGARSS Nikolaos Dionelis, Francesco Pro, Luca Maiano, Irene Amerini, Bertrand Le Saux
2024	J	`jnl`	Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
2024	C	`conf`	PhilEO Bench: Evaluating Geo-Spatial Foundation Models. IGARSS Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux
2024	J	`jnl`	PhilEO Bench: Evaluating Geo-Spatial Foundation Models. CoRR Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux
2024	J	`jnl`	Quantum Hybrid Diffusion Models for Image Synthesis. Künstliche Intell. Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella
2024	J	`jnl`	Quantum latent diffusion models. Quantum Mach. Intell. Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella
2024	J	`jnl`	Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks. CoRR Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti, Dario Spiller, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo
2024	C	`conf`	Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning. IGARSS Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
2024	C	`conf`	Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. IGARSS Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa
2024	J	`jnl`	Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2024	C	`conf`	Utility of Quantum Kernel Machines in Remote Sensing Applications. IGARSS Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Jakub Nalepa
2023	J	`jnl`	A Semi-Supervised Deep Learning Framework for Change Detection in Open-Pit Mines Using SAR Imagery. Remote. Sens. Gianluca Murdaca, Federico Ricciuti, Alessio Rucci, Bertrand Le Saux, Alfio Fumagalli, Claudio Maria Prati
2023	J	`jnl`	A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification. CoRR Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
2023	Misc	`conf`	Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. QCE Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa
2023	J	`jnl`	Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. CoRR Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa
2023	J	`jnl`	Artificial intelligence to advance Earth observation: a perspective. CoRR 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
2023	J	`jnl`	Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels. CoRR Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	C	`conf`	Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. IGARSS Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data. CoRR Juan Francisco Amieva, A. Austoni, Maria A. Brovelli, Luigi Ansalone, Peter Naylor, Federico Serva, Bertrand Le Saux
2023	J	`jnl`	Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. CoRR Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Detection of Forest Fires through Deep Unsupervised Learning Modeling of Sentinel-1 Time Series. ISPRS Int. J. Geo Inf. Thomas Di Martino, Bertrand Le Saux, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Elise Colin
2023	J	`jnl`	Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection. CoRR Fulvio Sanguigni, Mikolaj Czerkawski, Lorenzo Papa, Irene Amerini, Bertrand Le Saux
2023	J	`jnl`	Estimating optical vegetation indices with Sentinel-1 SAR data and AutoML. CoRR Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Premysl Stych
2023	J	`jnl`	IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision. CoRR Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann
2023	C	`conf`	Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. IGARSS Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2023	—	`conf`	Multi-task prompt-RSVQA to explicitly count objects on aerial images. BMVC Workshop Christel Chappuis, Charlotte Sertic, Nicola Santacroce, Javiera Castillo Navarro, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
2023	C	`conf`	Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. IGARSS Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images. CoRR Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. CoRR Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux, Jakub Mielczarek
2023	J	`jnl`	Rapid training of quantum recurrent neural networks. Quantum Mach. Intell. Michal Siemaszko, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobinska
2023	J	`jnl`	Space and Artificial Intelligence (Dagstuhl Seminar 23461). Dagstuhl Reports Saso Dzeroski, Holger H. Hoos, Bertrand Le Saux, Leendert van der Torre, Ana Kostovska
2023	J	`jnl`	Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. CoRR Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation. CoRR Christel Chappuis, Eliot Walt, Vincent Mendez, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
2023	C	`conf`	Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Weakly supervised change detection using guided anisotropic diffusion. Mach. Learn. Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2022	J	`jnl`	A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	Beyond Ansätze: Learning Quantum Circuits as Unitary Operators. CoRR Bálint Máté, Bertrand Le Saux, Maxwell Henderson
2022	J	`jnl`	DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. CoRR Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais
2022	J	`jnl`	DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais
2022	J	`jnl`	Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights. Remote. Sens. Marco Fiorucci, Wouter B. Verschoof-van der Vaart, Paolo Soleni, Bertrand Le Saux, Arianna Traviglia
2022	J	`jnl`	Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning. IEEE Trans. Geosci. Remote. Sens. Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre
2022	J	`jnl`	Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	C	`conf`	Language Transformers for Remote Sensing Visual Question Answering. IGARSS Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
2022	J	`jnl`	On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Alessandro Sebastianelli, Daniela Alessandra Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
2022	—	`conf`	Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. CVPR Workshops Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia
2022	C	`conf`	Quantum Convolutional Circuits for Earth Observation Image Classification. IGARSS Su Yeon Chang, Bertrand Le Saux, Sofia Vallecorsa, Michele Grossi
2022	J	`jnl`	Rapid training of quantum recurrent neural network. CoRR Michal Siemaszko, Thomas McDermott, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobinska
2022	J	`jnl`	Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	Self-supervised learning - A way to minimize time and effort for precision agriculture? CoRR Michael L. Marszalek, Bertrand Le Saux, Pierre-Philippe Mathieu, Artur Nowakowski, Daniel Springer
2022	J	`jnl`	Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study. Mach. Learn. Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
2022	B	`conf`	The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
2022	C	`conf`	Weakly-Supervised Continual Learning for Class-Incremental Segmentation. IGARSS Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux
2022	J	`jnl`	Weakly-supervised continual learning for class-incremental segmentation. CoRR Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux
2021	C	`conf`	Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. IGARSS Daniela Alessandra Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
2021	C	`conf`	Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model. IGARSS Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre
2021	—	`conf`	How to find a good image-text embedding for remote sensing visual question answering? MACLEAN@PKDD/ECML Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
2021	J	`jnl`	How to find a good image-text embedding for remote sensing visual question answering? CoRR Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia
2021	J	`jnl`	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. 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
2021	J	`jnl`	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. 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
2021	J	`jnl`	On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. CoRR Alessandro Sebastianelli, Daniela Alessandra Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
2021	Misc	`conf`	Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. MVA Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
2021	J	`jnl`	Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. CoRR Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
2021	J	`jnl`	Weakly Supervised Change Detection Using Guided Anisotropic Difusion. CoRR Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2021	—	`conf`	Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	DISIR: Deep Image Segmentation with Interactive Refinement. CoRR Gaston Lenczner, Bertrand Le Saux, Nicola Luminari, Adrien Chan-Hon-Tong, Guy Le Besnerais
2020	J	`jnl`	Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Devis Tuia, Ronny Hänsch, Naoto Yokoya, Myron Brown, Bertrand Le Saux
2020	—	`conf`	Interactive Learning for Semantic Segmentation in Earth Observation. MACLEAN@PKDD/ECML Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
2020	J	`jnl`	Interactive Learning for Semantic Segmentation in Earth Observation. CoRR Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
2020	J	`jnl`	Multitask Learning of Height and Semantics From Aerial Images. IEEE Geosci. Remote. Sens. Lett. Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
2020	—	`conf`	On Auxiliary Losses for Semi-Supervised Semantic Segmentation. MACLEAN@PKDD/ECML Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre
2020	J	`jnl`	Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study. CoRR Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
2020	J	`jnl`	Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation. CoRR Veda Sunkara, Matthew Purri, Bertrand Le Saux, Jennifer Adams
2019	J	`jnl`	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. Yonghao Xu, Bo Du, Liangpei Zhang, Daniele Cerra, Miguel Pato, Emiliano Carmona, Saurabh Prasad, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux
2019	J	`jnl`	Deep Learning for Classification of Hyperspectral Data: A Comparative Review. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2019	J	`jnl`	Distance transform regression for spatially-aware deep semantic segmentation. CoRR Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
2019	J	`jnl`	Distance transform regression for spatially-aware deep semantic segmentation. Comput. Vis. Image Underst. Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
2019	—	`conf`	Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CVPR Workshops Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2019	J	`jnl`	Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. CoRR Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2019	C	`conf`	Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth. IGARSS Rodrigo Caye Daudt, Adrien Chan-Hon-Tong, Bertrand Le Saux, Alexandre Boulch
2019	—	`book`	Modèles d'Apprentissage Machine pour la Compréhension de Scènes. (Machine Learning Models for Scene Understanding). Bertrand Le Saux
2019	J	`jnl`	Multi-Task Learning of Height and Semantics from Aerial Images. CoRR Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
2019	J	`jnl`	Multitask learning for large-scale semantic change detection. Comput. Vis. Image Underst. Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2019	J	`jnl`	Technical Report: Co-learning of geometry and semantics for online 3D mapping. CoRR Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux
2019	—	`conf`	What Data are needed for Semantic Segmentation in Earth Observation? JURSE Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
2018	—	`conf`	Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? ECCV Workshops (1) Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
2018	J	`jnl`	Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? CoRR Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
2018	B	`conf`	Fully Convolutional Siamese Networks for Change Detection. ICIP Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
2018	J	`jnl`	Fully Convolutional Siamese Networks for Change Detection. CoRR Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
2018	C	`conf`	Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. IGARSS Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2018	J	`jnl`	Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2018	J	`jnl`	High Resolution Semantic Change Detection. CoRR Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2018	C	`conf`	Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 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
2018	C	`conf`	Learning Speckle Suppression in Sar Images Without Ground Truth: Application to Sentinel-1 Time-Series. IGARSS Alexandre Boulch, Pauline Trouvé, Elise Colin Koeniguer, Fabrice Janez, Bertrand Le Saux
2018	B	`conf`	On Regression Losses for Deep Depth Estimation. ICIP Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
2018	J	`jnl`	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. Naoto Yokoya, Pedram Ghamisi, Junshi Xia, Sergey Sukhanov, Roel Heremans, Ivan Tankoyeu, Benjamin Bechtel, Bertrand Le Saux, Gabriele Moser, Devis Tuia
2018	C	`conf`	Railway Detection: From Filtering to Segmentation Networks. IGARSS Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Jérémie Brossard, Antoine Manier, Guilhem Villemin
2018	J	`jnl`	SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Comput. Graph. Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert
2018	C	`conf`	Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. IGARSS Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2018	J	`jnl`	Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. CoRR Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
2017	—	`conf`	"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people. ECMR Joris Guerry, Bertrand Le Saux, David Filliat
2017	—	`conf`	3D Hand Gesture Recognition Using a Depth and Skeletal Dataset. 3DOR@Eurographics Quentin De Smedt, Hazem Wannous, Jean-Philippe Vandeborre, Joris Guerry, Bertrand Le Saux, David Filliat
2017	J	`jnl`	Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	Deep learning for urban remote sensing. JURSE Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet
2017	—	`conf`	Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 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
2017	J	`jnl`	Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	Fusion of heterogeneous data in convolutional networks for urban semantic labeling. JURSE Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CVPR Workshops Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	J	`jnl`	Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	J	`jnl`	Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia
2017	C	`conf`	Placeholder: Not to be reviewed (Data fusion contest 2017). IGARSS Bertrand Le Saux
2017	—	`conf`	SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics 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
2017	J	`jnl`	Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. Remote. Sens. Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2017	—	`conf`	SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. ICCV Workshops Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, David Filliat
2017	—	`conf`	Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. 3DOR@Eurographics Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert
2016	J	`jnl`	How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework? CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	C	`conf`	How useful is region-based classification of remote sensing images in a deep learning framework? IGARSS Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	J	`jnl`	On the usability of deep networks for object-based image analysis. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	J	`jnl`	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. 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
2016	—	`conf`	Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. ACCV (1) Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2016	J	`jnl`	Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. CoRR Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
2015	C	`conf`	Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks. IGARSS Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu
2015	—	`conf`	Environment mapping & interpretation by drone. JURSE Martial Sanfourche, Bertrand Le Saux, Aurélien Plyer, Guy Le Besnerais
2014	B	`conf`	Interactive Design of Object Classifiers in Remote Sensing. ICPR Bertrand Le Saux
2014	C	`conf`	Multimodal classification with deformable part-based models for urban cartography. IGARSS Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu
2013	A	`conf`	Rapid semantic mapping: Learn environment classifiers on the fly. IROS Bertrand Le Saux, Martial Sanfourche
2013	C	`conf`	Urban change detection in SAR images by interactive learning. IGARSS Bertrand Le Saux, Hicham Randrianarivo
2013	C	`conf`	Urban structure detection with deformable part-based models. IGARSS Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu
2012	C	`conf`	Boosting for interactive man-made structure classification. IGARSS Nicolas Chauffert, Jonathan Israel, Bertrand Le Saux
2012	C	`conf`	GPU-accelerated one-class SVM for exploration of remote sensing data. IGARSS Fabien Giannesini, Bertrand Le Saux
2011	C	`conf`	Robust vehicle categorization from aerial images by 3D-template matching and multiple classifier system. ISPA Bertrand Le Saux, Martial Sanfourche
2008	—	`conf`	Micro-rotation imaging deconvolution. ISBI Bertrand Le Saux, Bernard Chalmond, Yong Yu, Alain Trouvé, Olivier Renaud, Spencer L. Shorte
2006	—	`conf`	Combining SVM and Graph Matching in a Bayesian Multiple Classifier System for Image Content Recognition. SSPR/SPR Bertrand Le Saux, Horst Bunke
2005	—	`conf`	Feature Selection for Graph-Based Image Classifiers. IbPRIA (2) Bertrand Le Saux, Horst Bunke
2004	Misc	`conf`	Image Classifiers for Scene Analysis. ICCVG Bertrand Le Saux, Giuseppe Amato
2004	—	`conf`	Image database clustering with SVM-based class personalization. Storage and Retrieval Methods and Applications for Multimedia Bertrand Le Saux, Nozha Boujemaa
2004	—	`conf`	Image recognition for digital libraries. Multimedia Information Retrieval Bertrand Le Saux, Giuseppe Amato
2003	B	`conf`	Adaptive robust clustering with proximity-based merging for video-summary. FUZZ-IEEE Bertrand Le Saux, Nizar Grira, Nozha Boujemaa
2002	—	`conf`	Unsupervised Categorization for Image Database Overview. VISUAL Bertrand Le Saux, Nozha Boujemaa
2002	—	`conf`	Unsupervised Robust Clustering for Image Database Categorization. ICPR (1) Bertrand Le Saux, Nozha Boujemaa