Unsupervised Segmentation for Automatic Detection of Brain Tumors in MRI. - Anne-Sophie Capelle; Olivier Alata; C. Fernandez; Sébastien Lefèvre; J. C. Ferrie (ICIP, 2000)

A Fast Snake-Based Method to Track Football Player. - Sébastien Lefèvre; Cyril Fluck; Benjamin Maillard; Nicole Vincent (MVA, 2000)

Multiresolution Color Image Segmentation Applied to Background Extraction in Outdoor Images. - Sébastien Lefèvre; Loïc Mercier; Vincent Tiberghien; Nicole Vincent (CGIV, 2002)

A local approach for fast line detection. - Sébastien Lefèvre; Charles Dixon; Cédric Jeusse; Nicole Vincent (DSP, 2002)

3 classes segmentation for analysis of football audio sequences. - Sébastien Lefèvre; Benjamin Maillard; Nicole Vincent (DSP, 2002)

A Two Level Classifier Process for Audio Segmentation. - Sébastien Lefèvre; Benjamin Maillard; Nicole Vincent (ICPR (3), 2002)

Détection d'événements dans une séquence vidéo. (Event detection in a video sequence). - Sébastien Lefèvre (2002)

A new way to use hidden Markov models for object tracking in video sequences. - Sébastien Lefèvre; Emmanuel Bouton; Thierry Brouard; Nicole Vincent (ICIP (3), 2003)

Architecture et Outils pour la Recherche d'Evénements dans les Séquences Vidéo. - Sébastien Lefèvre; Nicole Vincent; Christian Proust (INFORSID, 2003)

A Comparison of Line Detectors for Image Background Modelling. - Sébastien Lefèvre; Cédric Jeusse; Nicole Vincent (PRIS, 2003)

A review of real-time segmentation of uncompressed video sequences for content-based search and retrieval. - Sébastien Lefèvre; Jérôme Holler; Nicole Vincent (Real Time Imaging, 2003)

Real Time Multiple Object Tracking Based on Active Contours. - Sébastien Lefèvre; Nicole Vincent (ICIAR (2), 2004)

Indexation de séquences vidéo. Indices liés au temps. - Sébastien Lefèvre; Florence Sèdes (Document Numérique, 2004)

Extraction d'indices spatiaux et temporels dans des séquences vidéo couleur. - Sébastien Lefèvre; Nicole Vincent (EGC (Ateliers), 2005)

Caption Localisation in Video Sequences by Fusion of Multiple Detectors. - Sébastien Lefèvre; Nicole Vincent (ICDAR, 2005)

Mathematical morphology applied to the segmentation and classification of galaxies in multispectral images. - Erchan Aptoula; Sébastien Lefèvre; C. Collet (EUSIPCO, 2006)

Spatial Morphological Covariance Applied to Texture Classification. - Erchan Aptoula; Sébastien Lefèvre (MRCS, 2006)

Outils pour la recherche d'extraits pertinents dans les séquences vidéo. Applications aux retransmissions télévisées de matchs de football. - Sébastien Lefèvre; Nicole Vincent (Tech. Sci. Informatiques, 2006)

A Basin Morphology Approach to Colour Image Segmentation by Region Merging. - Erchan Aptoula; Sébastien Lefèvre (ACCV (1), 2007)

Knowledge from Markers in Watershed Segmentation. - Sébastien Lefèvre (CAIP, 2007)

On morphological color texture characterization. - Erchan Aptoula; Sébastien Lefèvre (ISMM (1), 2007)

Extending Morphological Signatures for Visual Pattern Recognition. - Sébastien Lefèvre (PRIS, 2007)

Efficient and robust shot change detection. - Sébastien Lefèvre; Nicole Vincent (J. Real Time Image Process., 2007)

A comparative study on multivariate mathematical morphology. - Erchan Aptoula; Sébastien Lefèvre (Pattern Recognit., 2007)

La morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS. - David Sheeren; Sébastien Lefèvre; Jonathan Weber (Rev. Int. Géomatique, 2007)

Astronomical object detection with a robust hit-or-miss transform. - Benjamin Perret; Sébastien Lefèvre; Christophe Collet 001; Bernd Vollmer (EUSIPCO, 2008)

A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching. - Jonathan Weber; Sébastien Lefèvre (ICISP, 2008)

Machine Learning in Image Processing. - Olivier Lezoray; Christophe Charrier; Hubert Cardot; Sébastien Lefèvre (EURASIP J. Adv. Signal Process., 2008)

alpha-Trimmed lexicographical extrema for pseudo-morphological image analysis. - Erchan Aptoula; Sébastien Lefèvre (J. Vis. Commun. Image Represent., 2008)

On lexicographical ordering in multivariate mathematical morphology. - Erchan Aptoula; Sébastien Lefèvre (Pattern Recognit. Lett., 2008)

Approches multivaluées et supervisées en morphologie mathématique et applications en analyse d'image. (Multivalued and Supervised Approaches within Mathematical Morphology, and Applications in Image Analysis). - Sébastien Lefèvre (2009)

Image Features from Morphological Scale-Spaces. - Sébastien Lefèvre (Semantic Mining Technologies for Multimedia Databases, 2009)

A New Approach for Unsupervised Classification in Image Segmentation. - Sébastien Lefèvre (EGC (best of volume), 2009)

Une nouvelle approche pour la classification non supervisée en segmentation d'image. - Sébastien Lefèvre (EGC, 2009)

On the morphological processing of hue. - Erchan Aptoula; Sébastien Lefèvre (Image Vis. Comput., 2009)

Beyond morphological size distribution. - Sébastien Lefèvre (J. Electronic Imaging, 2009)

A robust hit-or-miss transform for template matching applied to very noisy astronomical images. - Benjamin Perret; Sébastien Lefèvre; Christophe Collet 001 (Pattern Recognit., 2009)

A hit-or-miss transform for multivariate images. - Erchan Aptoula; Sébastien Lefèvre; Christian Ronse (Pattern Recognit. Lett., 2009)

Morphological Description of Color Images for Content-Based Image Retrieval. - Erchan Aptoula; Sébastien Lefèvre (IEEE Trans. Image Process., 2009)

Connected Component Trees for Multivariate Image Processing and Applications in Astronomy. - Benjamin Perret; Sébastien Lefèvre; Christophe Collet 001; Éric Slezak (ICPR, 2010)

Video Object Mining: Issues and Perspectives. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ICSC, 2010)

Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation. - Sébastien Derivaux; Germain Forestier; Cédric Wemmert; Sébastien Lefèvre (Pattern Recognit. Lett., 2010)

Segmentation thématique : apport de la vectorisation. - Vincent Claveau; Sébastien Lefèvre (CORIA, 2011)

Interactive video segmentation based on quasi-flat zones. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ISPA, 2011)

Topic Segmentation of TV-Streams by Mathematical Morphology and Vectorization. - Vincent Claveau; Sébastien Lefèvre (INTERSPEECH, 2011)

Topic Segmentation: Application of Mathematical Morphology to Textual Data. - Sébastien Lefèvre; Vincent Claveau (ISMM, 2011)

Toward a New Axiomatic for Hyper-Connections. - Benjamin Perret; Sébastien Lefèvre; Christophe Collet 001 (ISMM, 2011)

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ISMM, 2011)

A two level strategy for audio segmentation. - Sébastien Lefèvre; Nicole Vincent (Digit. Signal Process., 2011)

A classwise supervised ordering approach for morphology based hyperspectral image classification. - Nicolas Courty; Erchan Aptoula; Sébastien Lefèvre (ICPR, 2012)

Classwise hyperspectral image classification with PerTurbo method. - Laetitia Chapel; Thomas Burger; Nicolas Courty; Sébastien Lefèvre (IGARSS, 2012)

Fast Image and Video Segmentation Based on Alpha-tree Multiscale Representation. - François Merciol; Sébastien Lefèvre (SITIS, 2012)

Spatial and spectral morphological template matching. - Jonathan Weber; Sébastien Lefèvre (Image Vis. Comput., 2012)

Hyperconnections and Hierarchical Representations for Grayscale and Multiband Image Processing. - Benjamin Perret; Sébastien Lefèvre; Christophe Collet 001; Éric Slezak (IEEE Trans. Image Process., 2012)

Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. - Tony Shepherd; Mika Teräs; Reinhard Beichel; Ronald Boellaard; Michel Bruynooghe; Volker Dicken; Mark J. Gooding; Peter J. Julyan; John Aldo Lee; Sébastien Lefèvre; Michael Mix; Valery Naranjo; et al. (IEEE Trans. Medical Imaging, 2012)

Hierarchical Image Representation Simplification Driven by Region Complexity. - Petra Bosilj; Sébastien Lefèvre; Ewa Kijak (ICIAP (1), 2013)

Vectorial Quasi-flat Zones for Color Image Simplification. - Erhan Aptoula; Jonathan Weber; Sébastien Lefèvre (ISMM, 2013)

Efficient Schemes for Computing α-tree Representations. - Jirí Havel; François Merciol; Sébastien Lefèvre (ISMM, 2013)

Mitosis detection in breast cancer histological images with mathematical morphology. - Erchan Aptoula; Nicolas Courty; Sébastien Lefèvre (SIU, 2013)

Fast quasi-flat zones filtering using area threshold and region merging. - Jonathan Weber; Sébastien Lefèvre (J. Vis. Commun. Image Represent., 2013)

An end-member based ordering relation for the morphological description of hyperspectral images. - Erchan Aptoula; Nicolas Courty; Sébastien Lefèvre (ICIP, 2014)

Hyperspectral image classification from multiscale description with constrained connectivity and metric learning. - Sébastien Lefèvre; Laetitia Chapel; François Merciol (WHISPERS, 2014)

PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. - Laetitia Chapel; Thomas Burger; Nicolas Courty; Sébastien Lefèvre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Buffering Hierarchical Representation of Color Video Streams for Interactive Object Selection. - François Merciol; Sébastien Lefèvre (ACIVS, 2015)

Beyond MSER: Maximally Stable Regions using Tree of Shapes. - Petra Bosilj; Ewa Kijak; Sébastien Lefèvre (BMVC, 2015)

A Subpath Kernel for Learning Hierarchical Image Representations. - Yanwei Cui; Laetitia Chapel; Sébastien Lefèvre (GbRPR, 2015)

Short local descriptors from 2D connected pattern spectra. - Petra Bosilj; Ewa Kijak; Michael H. F. Wilkinson; Sébastien Lefèvre (ICIP, 2015)

Fast building extraction by multiscale analysis of digital surface models. - François Merciol; Sébastien Lefèvre (IGARSS, 2015)

GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference. - Abdullah Al-Dujaili; François Merciol; Sébastien Lefèvre (ISMM, 2015)

Adaptive Hit or Miss Transform. - Vladimir Curic; Sébastien Lefèvre; Cris L. Luengo Hendriks (ISMM, 2015)

Topic segmentation of TV-streams by watershed transform and vectorization. - Vincent Claveau; Sébastien Lefèvre (Comput. Speech Lang., 2015)

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (ACCV (1), 2016)

A new penalisation term for image retrieval in clique neural networks. - Romain Huet; Nicolas Courty; Sébastien Lefèvre (ESANN, 2016)

How useful is region-based classification of remote sensing images in a deep learning framework? - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (IGARSS, 2016)

Unsupervised classifier selection approach for hyperspectral image classification. - Bharath Bhushan Damodaran; Nicolas Courty; Sébastien Lefèvre (IGARSS, 2016)

Human Detection from Aerial Imagery for Automatic Counting of Shellfish Gatherers. - Mathieu Laroze; Luc Courtrai; Sébastien Lefèvre (VISIGRAPP (4: VISAPP), 2016)

Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach. - Yanwei Cui; Laetitia Chapel; Sébastien Lefèvre (WHISPERS, 2016)

On the usability of deep networks for object-based image analysis. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2016)

Combining multiple resolutions into hierarchical representations for kernel-based image classification. - Yanwei Cui; Sébastien Lefèvre; Laetitia Chapel; Anne Puissant (CoRR, 2016)

Coupling ground-level panoramas and aerial imagery for change detection. - Nehla Ghouaiel; Sébastien Lefèvre (Geo spatial Inf. Sci., 2016)

Retrieval of Remote Sensing Images with Pattern Spectra Descriptors. - Petra Bosilj; Erchan Aptoula; Sébastien Lefèvre; Ewa Kijak (ISPRS Int. J. Geo Inf., 2016)

Local 2D Pattern Spectra as Connected Region Descriptors. - Petra Bosilj; Michael H. F. Wilkinson; Ewa Kijak; Sébastien Lefèvre (Math. Morphol. Theory Appl., 2016)

Morphological path filtering at the region scale for efficient and robust road network extraction from satellite imagery. - Luc Courtrai; Sébastien Lefèvre (Pattern Recognit. Lett., 2016)

Vector Attribute Profiles for Hyperspectral Image Classification. - Erchan Aptoula; Mauro Dalla Mura; Sébastien Lefèvre (IEEE Trans. Geosci. Remote. Sens., 2016)

Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CVPR Workshops, 2017)

Deep learning for semantic segmentation of remote sensing images with rich spectral content. - Amina Ben Hamida; Alexandre Benoît; Patrick Lambert; Louis Klein; Chokri Ben Amar; Nicolas Audebert; Sébastien Lefèvre (IGARSS, 2017)

Classification of VHR remote sensing images using local feature-based attribute profiles. - Minh-Tan Pham; Sébastien Lefèvre; Erchan Aptoula; Bharath Bhushan Damodaran (IGARSS, 2017)

SAR image texture tracking using a pointwise graph-based model for glacier displacement measurement. - Minh-Tan Pham; Grégoire Mercier; Emmanuel Trouvé; Sébastien Lefèvre (IGARSS, 2017)

Quasi-Flat Zones for Angular Data Simplification. - Erchan Aptoula; Minh-Tan Pham; Sébastien Lefèvre (ISMM, 2017)

Attribute Profiles from Partitioning Trees. - Petra Bosilj; Bharath Bhushan Damodaran; Erchan Aptoula; Mauro Dalla Mura; Sébastien Lefèvre (ISMM, 2017)

Deep learning for urban remote sensing. - Nicolas Audebert; Alexandre Boulch; Hicham Randrianarivo; Bertrand Le Saux; Marin Ferecatu; Sébastien Lefèvre; Renaud Marlet (JURSE, 2017)

Fusion of heterogeneous data in convolutional networks for urban semantic labeling. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (JURSE, 2017)

A comparative noise robustness study of tree representations for attribute profile construction. - Safak Guner Koc; Erchan Aptoula; Petra Bosilj; Bharath Bhushan Damodaran; Mauro Dalla Mura; Sébastien Lefèvre (SIU, 2017)

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2017)

Towards seamless multi-view scene analysis from satellite to street-level. - Sébastien Lefèvre; Devis Tuia; Jan Dirk Wegner; Timothée Produit; Ahmed Samy Nassar (CoRR, 2017)

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2017)

Toward Seamless Multiview Scene Analysis From Satellite to Street Level. - Sébastien Lefèvre; Devis Tuia; Jan Dirk Wegner; Timothée Produit; Ahmed Samy Nassar (Proc. IEEE, 2017)

Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (Remote. Sens., 2017)

Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification. - Yanwei Cui; Laetitia Chapel; Sébastien Lefèvre (Remote. Sens., 2017)

Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. - Bharath Bhushan Damodaran; Nicolas Courty; Sébastien Lefèvre (IEEE Trans. Geosci. Remote. Sens., 2017)

Active Learning to Assist Annotation of Aerial Images in Environmental Surveys. - Mathieu Laroze; Romain Dambreville; Chloé Friguet; Ewa Kijak; Sébastien Lefèvre (CBMI, 2018)

Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (IGARSS, 2018)

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. - Bohao Huang; Kangkang Lu 001; Nicolas Audebert; Andrew Khalel; Yuliya Tarabalka; Jordan M. Malof; Alexandre Boulch; Bertrand Le Saux; Leslie M. Collins; Kyle Bradbury; Sébastien Lefèvre; Motaz El-Saban (IGARSS, 2018)

A New Optimized Denoising Method applied to the Spot World Heritage Initiative and its Spot 5 Supermode images. - Antoine Masse; Christophe Latry; Julien Nosavan; Simon Baillarin; Sébastien Lefèvre (IGARSS, 2018)

Classification of Remote Sensing Images Using Attribute Profiles and Feature Profiles from Different Trees: A Comparative Study. - Minh-Tan Pham; Erchan Aptoula; Sébastien Lefèvre (IGARSS, 2018)

Buried Object Detection from B-Scan Ground Penetrating Radar Data Using Faster-RCNN. - Minh-Tan Pham; Sébastien Lefèvre (IGARSS, 2018)

Recent Developments from Attribute Profiles for Remote Sensing Image Classification. - Minh-Tan Pham; Sébastien Lefèvre; Erchan Aptoula; Lorenzo Bruzzone (CoRR, 2018)

Partition and Inclusion Hierarchies of Images: A Comprehensive Survey. - Petra Bosilj; Ewa Kijak; Sébastien Lefèvre (J. Imaging, 2018)

Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification. - Minh-Tan Pham; Sébastien Lefèvre; François Merciol (IEEE Geosci. Remote. Sens. Lett., 2018)

Denoising Very High Resolution Optical Remote Sensing Images: Application and Optimization of Nonlocal Bayes method. - Antoine Masse; Sébastien Lefèvre; Renaud Binet; Stephanie Artigues; Gwendoline Blanchet; Simon Baillarin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images. - Minh-Tan Pham; Erchan Aptoula; Sébastien Lefèvre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification. - Minh-Tan Pham; Sébastien Lefèvre; Erchan Aptoula (IEEE Trans. Geosci. Remote. Sens., 2018)

Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints. - Ahmed Samy Nassar; Sébastien Lefèvre; Jan Dirk Wegner (ICCV, 2019)

Voxel-Based Attribute Profiles on LIDAR Data for Land Cover Mapping. - Florent Guiotte; Sébastien Lefèvre; Thomas Corpetti (IGARSS, 2019)

Attribute Profiles For Satellite Image Time Series. - Çaglayan Tuna; François Merciol; Sébastien Lefèvre (IGARSS, 2019)

Attribute Filtering of Urban Point Clouds Using Max-Tree on Voxel Data. - Florent Guiotte; Sébastien Lefèvre; Thomas Corpetti (ISMM, 2019)

What Data are needed for Semantic Segmentation in Earth Observation? - Javiera Castillo-Navarro; Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (JURSE, 2019)

Rasterization strategies for airborne LiDAR classification using attribute profiles. - Florent Guiotte; Sébastien Lefèvre; Thomas Corpetti (JURSE, 2019)

Automated Mapping Of Accessibility Signs With Deep Learning From Ground-level Imagery and Open Data. - Ahmed Samy Nassar; Sébastien Lefèvre (JURSE, 2019)

Learning geometric soft constraints for multi-view instance matching across street-level panoramas. - Ahmed Samy Nassar; Nico Lang; Sébastien Lefèvre; Jan D. Wegner (JURSE, 2019)

Monitoring Urban Growth with Spatial Filtering of Satellite Image Time Series. - Çaglayan Tuna; François Merciol; Sébastien Lefèvre (JURSE, 2019)

Analysis of Min-Trees over Sentinel-1 Time Series for Flood Detection. - Çaglayan Tuna; François Merciol; Sébastien Lefèvre (MultiTemp, 2019)

End-to-end Learning for Early Classification of Time Series. - Marc Rußwurm; Sébastien Lefèvre; Nicolas Courty; Rémi Emonet; Marco Körner 001; Romain Tavenard (CoRR, 2019)

Deep Learning for Classification of Hyperspectral Data: A Comparative Review. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2019)

BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification. - Marc Rußwurm; Sébastien Lefèvre; Marco Körner 001 (CoRR, 2019)

Early Classification for Agricultural Monitoring from Satellite Time Series. - Marc Rußwurm; Romain Tavenard; Sébastien Lefèvre; Marco Körner 001 (CoRR, 2019)

Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks. - Minh-Tan Pham; Sébastien Lefèvre (CoRR, 2019)

Distance transform regression for spatially-aware deep semantic segmentation. - Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (Comput. Vis. Image Underst., 2019)

A Generic Framework for Combining Multiple Segmentations in Geographic Object-Based Image Analysis. - Sébastien Lefèvre; David Sheeren; Onur Tasar (ISPRS Int. J. Geo Inf., 2019)

GEOBIA at the Terapixel Scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes. - François Merciol; Loïc Faucqueur; Bharath Bhushan Damodaran; Pierre-Yves Rémy; Baudouin Desclée; Fabrice Dazin; Sébastien Lefèvre; Antoine Masse; Christophe Sannier (ISPRS Int. J. Geo Inf., 2019)

Efficient tree construction for multiscale image representation and processing. - Jirí Havel; François Merciol; Sébastien Lefèvre (J. Real Time Image Process., 2019)

Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning. - Clément Dechesne; Sébastien Lefèvre; Rodolphe Vadaine; Guillaume Hajduch; Ronan Fablet (Remote. Sens., 2019)

GEOBIA 2016: Advances in Object-Based Image Analysis - Linking with Computer Vision and Machine Learning. - Norman Kerle; Markus Gerke; Sébastien Lefèvre (Remote. Sens., 2019)

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection. - Heng Zhang; Élisa Fromont; Sébastien Lefèvre; Bruno Avignon (ACCV (4), 2020)

GeoGraph: Graph-Based Multi-view Object Detection with Geometric Cues End-to-End. - Ahmed Samy Nassar; Stefano D'Aronco; Sébastien Lefèvre; Jan D. Wegner (ECCV (7), 2020)

Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks. - Heng Zhang; Élisa Fromont; Sébastien Lefèvre; Bruno Avignon (ICIP, 2020)

On Morphological Hierarchies for Image Sequences. - Çaglayan Tuna; Alain Giros; François Merciol; Sébastien Lefèvre (ICPR, 2020)

Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. - Luc Courtrai; Minh-Tan Pham; Chloé Friguet; Sébastien Lefèvre (IGARSS, 2020)

Vehicle Detection and Counting from VHR Satellite Images: Efforts and Open Issues. - Alice Froidevaux; Andréa Julier; Agustin Lifschitz; Minh-Tan Pham; Romain Dambreville; Sébastien Lefèvre; Pierre Lassalle; Thanh-Long Huynh (IGARSS, 2020)

On Auxiliary Losses for Semi-Supervised Semantic Segmentation. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (MACLEAN@PKDD/ECML, 2020)

GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end. - Ahmed Samy Nassar; Stefano D'Aronco; Sébastien Lefèvre; Jan D. Wegner (CoRR, 2020)

Multi-View Instance Matching with Learned Geometric Soft-Constraints. - Ahmed Samy Nassar; Sébastien Lefèvre; Jan Dirk Wegner (ISPRS Int. J. Geo Inf., 2020)

Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models. - Florent Guiotte; Minh-Tan Pham; Romain Dambreville; Thomas Corpetti; Sébastien Lefèvre (IEEE Geosci. Remote. Sens. Lett., 2020)

Component trees for image sequences and streams. - Çaglayan Tuna; Behzad Mirmahboub; François Merciol; Sébastien Lefèvre (Pattern Recognit. Lett., 2020)

Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks. - Luc Courtrai; Minh-Tan Pham; Sébastien Lefèvre (Remote. Sens., 2020)

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. - Minh-Tan Pham; Luc Courtrai; Chloé Friguet; Sébastien Lefèvre; Alexandre Baussard (Remote. Sens., 2020)

Foreword to the Special Issue on Paving the Way for the Future of Urban Remote Sensing. - Sébastien Lefèvre; Thomas Corpetti; Monika Kuffer; Hannes Taubenböck; Clément Mallet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

PDF-Distil: including Prediction Disagreements in Feature-based Distillation for object detection. - Heng Zhang; Élisa Fromont; Sébastien Lefèvre; Bruno Avignon (BMVC, 2021)

Watershed-Based Attribute Profiles for Pixel Classification of Remote Sensing Data. - Deise Santana Maia; Minh-Tan Pham; Sébastien Lefèvre (DGMM, 2021)

Fast Pattern Spectra Using Tree Representation of the Image for Patch Retrieval. - Behzad Mirmahboub; Jérôme Moré; David Youssefi; Alain Giros; François Merciol; Sébastien Lefèvre (DGMM, 2021)

Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency. - Heng Zhang; Élisa Fromont; Sébastien Lefèvre; Bruno Avignon (ICIP, 2021)

Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (IGARSS, 2021)

Bayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation. - Clément Dechesne; Pierre Lassalle; Sébastien Lefèvre (IGARSS, 2021)

Benchmarking Change Detection in Urban 3D Point Clouds. - Iris de Gélis; Sébastien Lefèvre; Thomas Corpetti; Thomas Ristorcelli; Chloé Thénoz; Pierre Lassalle (IGARSS, 2021)

Robust Deep Simple Online Real-Time Tracking. - Abdelbadie Belmouhcine; Julien Simon; Luc Courtrai; Sébastien Lefèvre (ISPA, 2021)

Guided Attentive Feature Fusion for Multispectral Pedestrian Detection. - Heng Zhang; Élisa Fromont; Sébastien Lefèvre; Bruno Avignon (WACV, 2021)

TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation. - Joachim Nyborg; Charlotte Pelletier; Sébastien Lefèvre; Ira Assent (CoRR, 2021)

Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images. - Clément Dechesne; Pierre Lassalle; Sébastien Lefèvre (Remote. Sens., 2021)

Change Detection in Urban Point Clouds: An Experimental Comparison with Simulated 3D Datasets. - Iris de Gélis; Sébastien Lefèvre; Thomas Corpetti (Remote. Sens., 2021)

Median-Tree: An Efficient Counterpart of Tree-of-Shapes. - Behzad Mirmahboub; Deise Santana Maia; François Merciol; Sébastien Lefèvre (Math. Morphol. Theory Appl., 2021)

Fully Deep Simple Online Real-time Tracking: Efficient Re-Identification by Attention without Explicit Similarity Learning. - Abdelbadie Belmouhcine; Julien Simon; Luc Courtrai; Sébastien Lefèvre (ICPR, 2022)

Less Labels, More Modalities: A Self-Training Framework to Reuse Pretrained Networks. - Jean-Christophe Burnel; Luc Courtrai; Sébastien Lefèvre (ICPR Workshops (3), 2022)

Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection. - Hugo Gangloff; Minh-Tan Pham; Luc Courtrai; Sébastien Lefèvre (ICPR, 2022)

A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. - Manal Hamzaoui; Laetitia Chapel; Minh-Tan Pham; Sébastien Lefèvre (ICPRAI (2), 2022)

Deep Active Contour Models for Delineating Glacier Calving Fronts. - Konrad Heidler; Lichao Mou; Erik Loebel; Mirko Scheinert; Sébastien Lefèvre; Xiao Xiang Zhu 001 (IGARSS, 2022)

Low-cost Multispectral Scene Analysis with Modality Distillation. - Heng Zhang; Élisa Fromont; Sébastien Lefèvre; Bruno Avignon (WACV, 2022)

CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data. - Wei-Hsin Tseng; Hoàng-Ân Lê; Alexandre Boulch; Sébastien Lefèvre; Dirk Tiede (CoRR, 2022)

Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery. - Anne Achieng Osio; Hoàng-Ân Lê; Samson Ayugi; Fred Onyango; Peter Odwe; Sébastien Lefèvre (CoRR, 2022)

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Nicolas Audebert; Sébastien Lefèvre (Mach. Learn., 2022)

Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images. - Paul Berg; Deise Santana Maia; Minh-Tan Pham; Sébastien Lefèvre (Remote. Sens., 2022)

Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images. - Hoàng-Ân Lê; Heng Zhang; Minh-Tan Pham; Sébastien Lefèvre (Remote. Sens., 2022)

Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. - Hoàng-Ân Lê; Florent Guiotte; Minh-Tan Pham; Sébastien Lefèvre; Thomas Corpetti (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis. - Deise Santana Maia; Minh-Tan Pham; Sébastien Lefèvre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (IEEE Trans. Geosci. Remote. Sens., 2022)

MiniFrance. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Nicolas Audebert; Sébastien Lefèvre (IEEE DataPort, 2022)

Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. - Hugo Gangloff; Minh-Tan Pham; Luc Courtrai; Sébastien Lefèvre (ICIP, 2023)

Multimodal Object Detection in Remote Sensing. - Abdelbadie Belmouhcine; Jean-Christophe Burnel; Luc Courtrai; Minh-Tan Pham; Sébastien Lefèvre (IGARSS, 2023)

Graph Dynamic Earth Net: Spatio-Temporal Graph Benchmark for Satellite Image Time Series. - Corentin Dufourg; Charlotte Pelletier; Stéphane May; Sébastien Lefèvre (IGARSS, 2023)

"Low Supervision" Deep Cluster Change Detection (CDCluster) On Remote Sensing RGB Data: Towards The Unsupervising Clustering Framework. - Garcia Fernandez Guglielmo; Iris de Gélis; Thomas Corpetti; Sébastien Lefèvre; Arnaud Le Bris (IGARSS, 2023)

Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. - Manal Hamzaoui; Laetitia Chapel; Minh-Tan Pham; Sébastien Lefèvre (IGARSS, 2023)

Learning UAV-Based Above-Ground Biomass Regression Models in Sparse Training Data Environments. - Felix Kröber; Garcia Fernandez Guglielmo; Florent Guiotte; Florian Delerue; Thomas Corpetti; Sébastien Lefèvre (IGARSS, 2023)

Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder. - Minh-Tan Pham; Hugo Gangloff; Sébastien Lefèvre (IGARSS, 2023)

Change detection needs change information: improving deep 3D point cloud change detection. - Iris de Gélis; Thomas Corpetti; Sébastien Lefèvre (CoRR, 2023)

DC3DCD: unsupervised learning for multiclass 3D point cloud change detection. - Iris de Gélis; Sébastien Lefèvre; Thomas Corpetti (CoRR, 2023)

A Deep Active Contour Model for Delineating Glacier Calving Fronts. - Konrad Heidler; Lichao Mou; Erik Loebel; Mirko Scheinert; Sébastien Lefèvre; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

More Labels or Better Labels? A Semantic Segmentation Study Case Using Historical Aerial Images for Tree Delineation. - Vitória Barbosa Ferreira; David Sheeren; Sébastien Lefèvre; Stefan Lang 001 (IGARSS, 2024)

Landslide Detection in 3D Point Clouds With Deep Siamese Convolutional Network. - Iris de Gélis; Thomas Bernard; Dimitri Lague; Thomas Corpetti; Sébastien Lefèvre (IGARSS, 2024)

Plant Detection from Ultra High Resolution Remote Sensing Images: A Semantic Segmentation Approach Based on Fuzzy Loss. - Shivam Pande; Baki Uzun; Florent Guiotte; Minh-Tan Pham; Thomas Corpetti; Florian Delerue; Sébastien Lefèvre (IGARSS, 2024)

Mapping Earth Mounds from Space. - Baki Uzun; Shivam Pande; Gwendal Cachin-Bernard; Minh-Tan Pham; Sébastien Lefèvre; Rumsais Blatrix; Doyle McKey (IGARSS, 2024)

Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss. - Shivam Pande; Baki Uzun; Florent Guiotte; Thomas Corpetti; Florian Delerue; Sébastien Lefèvre (CoRR, 2024)

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings. - Getachew Workineh Gella; Charlotte Pelletier; Sébastien Lefèvre; Lorenz Wendt; Dirk Tiede; Stefan Lang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Change Detection Needs Change Information: Improving Deep 3-D Point Cloud Change Detection. - Iris de Gélis; Thomas Corpetti; Sébastien Lefèvre (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperbolic prototypical network for few shot remote sensing scene classification. - Manal Hamzaoui; Laetitia Chapel; Minh-Tan Pham; Sébastien Lefèvre (Pattern Recognit. Lett., 2024)

Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach. - Pierre Adorni; Minh-Tan Pham; Stéphane May; Sébastien Lefèvre (CVPR Workshops, 2025)

Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting. - Lars Uebbing; Harald L. Joakimsen; Luigi Tommaso Luppino; Iver Martinsen; Andrew McDonald 003; Kristoffer Knutsen Wickstrøm; Sébastien Lefèvre; Arnt-Børre Salberg; Scott Hosking; Robert Jenssen (NLDL, 2025)

YOLO-G3CF: Gaussian Contrastive Cross-Channel Fusion for Multimodal Object Detection. - Abdelbadie Belmouhcine; Minh-Tan Pham; Sébastien Lefèvre (IEEE Geosci. Remote. Sens. Lett., 2025)

On the use of Graphs for Satellite Image Time Series. - Corentin Dufourg; Charlotte Pelletier; Stéphane May; Sébastien Lefèvre (CoRR, 2025)