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Sébastien Lefèvre
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- affiliation: IRISA, Rennes, France
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2020 – today
- 2024
- [j61]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
Hyperbolic prototypical network for few shot remote sensing scene classification. Pattern Recognit. Lett. 177: 151-156 (2024) - [j60]Getachew Workineh Gella
, Charlotte Pelletier
, Sébastien Lefèvre
, Lorenz Wendt
, Dirk Tiede
, Stefan Lang
:
Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1701-1718 (2024) - [j59]Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre
:
Change Detection Needs Change Information: Improving Deep 3-D Point Cloud Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - 2023
- [j58]Konrad Heidler
, Lichao Mou
, Erik Loebel
, Mirko Scheinert
, Sébastien Lefèvre
, Xiao Xiang Zhu
:
A Deep Active Contour Model for Delineating Glacier Calving Fronts. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c107]Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre:
Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. ICIP 2023: 1620-1624 - [c106]Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre:
Multimodal Object Detection in Remote Sensing. IGARSS 2023: 1245-1248 - [c105]Felix Kröber, Garcia Fernandez Guglielmo, Florent Guiotte, Florian Delerue, Thomas Corpetti, Sébastien Lefèvre:
Learning UAV-Based Above-Ground Biomass Regression Models in Sparse Training Data Environments. IGARSS 2023: 3322-3325 - [c104]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. IGARSS 2023: 5391-5394 - [c103]Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre:
Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder. IGARSS 2023: 5559-5562 - [c102]Garcia Fernandez Guglielmo, Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre, Arnaud Le Bris:
"Low Supervision" Deep Cluster Change Detection (CDCluster) On Remote Sensing RGB Data: Towards The Unsupervising Clustering Framework. IGARSS 2023: 6656-6659 - [c101]Corentin Dufourg, Charlotte Pelletier
, Stéphane May, Sébastien Lefèvre:
Graph Dynamic Earth Net: Spatio-Temporal Graph Benchmark for Satellite Image Time Series. IGARSS 2023: 7164-7167 - [e4]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), Grenoble, France, September 18-22, 2022. CEUR Workshop Proceedings 3343, CEUR-WS.org 2023 [contents] - [i36]Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre:
Change detection needs change information: improving deep 3D point cloud change detection. CoRR abs/2304.12639 (2023) - [i35]Iris de Gélis, Sébastien Lefèvre, Thomas Corpetti:
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection. CoRR abs/2305.05421 (2023) - [i34]Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu:
A Deep Active Contour Model for Delineating Glacier Calving Fronts. CoRR abs/2307.03461 (2023) - [i33]Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre:
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder. CoRR abs/2307.06720 (2023) - [i32]Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre:
Multimodal Object Detection in Remote Sensing. CoRR abs/2307.06724 (2023) - 2022
- [j57]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) - [j56]Paul Berg
, Deise Santana Maia
, Minh-Tan Pham, Sébastien Lefèvre
:
Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images. Remote. Sens. 14(2): 339 (2022) - [j55]Hoàng-Ân Lê
, Heng Zhang, Minh-Tan Pham
, Sébastien Lefèvre
:
Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images. Remote. Sens. 14(15): 3689 (2022) - [j54]Deise Santana Maia
, Minh-Tan Pham
, Sébastien Lefèvre
:
Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2574-2591 (2022) - [j53]Hoàng-Ân Lê
, Florent Guiotte, Minh-Tan Pham
, Sébastien Lefèvre
, Thomas Corpetti
:
Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4980-4989 (2022) - [j52]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) - [c100]Jean-Christophe Burnel
, Luc Courtrai, Sébastien Lefèvre
:
Less Labels, More Modalities: A Self-Training Framework to Reuse Pretrained Networks. ICPR Workshops (3) 2022: 287-302 - [c99]Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre:
Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection. ICPR 2022: 435-441 - [c98]Abdelbadie Belmouhcine, Julien Simon, Luc Courtrai, Sébastien Lefèvre:
Fully Deep Simple Online Real-time Tracking: Efficient Re-Identification by Attention without Explicit Similarity Learning. ICPR 2022: 3522-3528 - [c97]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. ICPRAI (2) 2022: 208-220 - [c96]Konrad Heidler, Lichao Mou, Erik Loebel
, Mirko Scheinert
, Sébastien Lefèvre, Xiao Xiang Zhu:
Deep Active Contour Models for Delineating Glacier Calving Fronts. IGARSS 2022: 4490-4493 - [c95]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Low-cost Multispectral Scene Analysis with Modality Distillation. WACV 2022: 3331-3340 - [e3]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), Virtual Conference, September 13-17, 2021. CEUR Workshop Proceedings 3088, CEUR-WS.org 2022 [contents] - [d1]Javiera Castillo-Navarro
, Bertrand Le Saux
, Alexandre Boulch
, Nicolas Audebert
, Sébastien Lefèvre
:
MiniFrance. IEEE DataPort, 2022 - [i31]Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch, Sébastien Lefèvre, Dirk Tiede:
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data. CoRR abs/2204.07052 (2022) - [i30]Anne Achieng Osio, Hoàng-Ân Lê, Samson Ayugi, Fred Onyango, Peter Odwe, Sébastien Lefèvre:
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery. CoRR abs/2204.07096 (2022) - [i29]Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti:
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN. CoRR abs/2206.03778 (2022) - 2021
- [j51]Behzad Mirmahboub, Deise Santana Maia
, François Merciol, Sébastien Lefèvre:
Median-Tree: An Efficient Counterpart of Tree-of-Shapes. Math. Morphol. Theory Appl. 5(1): 108-127 (2021) - [j50]Iris de Gélis
, Sébastien Lefèvre
, Thomas Corpetti
:
Change Detection in Urban Point Clouds: An Experimental Comparison with Simulated 3D Datasets. Remote. Sens. 13(13): 2629 (2021) - [j49]Clément Dechesne, Pierre Lassalle, Sébastien Lefèvre
:
Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images. Remote. Sens. 13(19): 3836 (2021) - [c94]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
PDF-Distil: including Prediction Disagreements in Feature-based Distillation for object detection. BMVC 2021: 26 - [c93]Behzad Mirmahboub, Jérôme Moré, David Youssefi, Alain Giros, François Merciol, Sébastien Lefèvre:
Fast Pattern Spectra Using Tree Representation of the Image for Patch Retrieval. DGMM 2021: 107-119 - [c92]Deise Santana Maia
, Minh-Tan Pham, Sébastien Lefèvre:
Watershed-Based Attribute Profiles for Pixel Classification of Remote Sensing Data. DGMM 2021: 120-133 - [c91]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency. ICIP 2021: 449-453 - [c90]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 - [c89]Clément Dechesne, Pierre Lassalle, Sébastien Lefèvre:
Bayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation. IGARSS 2021: 2536-2539 - [c88]Iris de Gélis, Sébastien Lefèvre, Thomas Corpetti, Thomas Ristorcelli, Chloé Thénoz, Pierre Lassalle:
Benchmarking Change Detection in Urban 3D Point Clouds. IGARSS 2021: 3352-3355 - [c87]Abdelbadie Belmouhcine, Julien Simon, Luc Courtrai, Sébastien Lefèvre:
Robust Deep Simple Online Real-Time Tracking. ISPA 2021: 138-144 - [c86]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection. WACV 2021: 72-80 - [i28]Joachim Nyborg, Charlotte Pelletier, Sébastien Lefèvre, Ira Assent:
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation. CoRR abs/2111.02682 (2021) - 2020
- [j48]Ahmed Samy Nassar, Sébastien Lefèvre
, Jan Dirk Wegner:
Multi-View Instance Matching with Learned Geometric Soft-Constraints. ISPRS Int. J. Geo Inf. 9(11): 687 (2020) - [j47]Florent Guiotte
, Minh-Tan Pham
, Romain Dambreville, Thomas Corpetti
, Sébastien Lefèvre
:
Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models. IEEE Geosci. Remote. Sens. Lett. 17(11): 2016-2019 (2020) - [j46]Çaglayan Tuna, Behzad Mirmahboub, François Merciol, Sébastien Lefèvre
:
Component trees for image sequences and streams. Pattern Recognit. Lett. 129: 255-262 (2020) - [j45]Minh-Tan Pham
, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre
, Alexandre Baussard
:
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. Remote. Sens. 12(15): 2501 (2020) - [j44]Luc Courtrai, Minh-Tan Pham
, Sébastien Lefèvre
:
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks. Remote. Sens. 12(19): 3152 (2020) - [j43]Sébastien Lefèvre, Thomas Corpetti
, Monika Kuffer, Hannes Taubenböck, Clément Mallet:
Foreword to the Special Issue on Paving the Way for the Future of Urban Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6533-6536 (2020) - [c85]Heng Zhang
, Élisa Fromont
, Sébastien Lefèvre
, Bruno Avignon:
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection. ACCV (4) 2020: 104-118 - [c84]Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre, Jan D. Wegner:
GeoGraph: Graph-Based Multi-view Object Detection with Geometric Cues End-to-End. ECCV (7) 2020: 488-504 - [c83]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks. ICIP 2020: 276-280 - [c82]Çaglayan Tuna, Alain Giros, François Merciol, Sébastien Lefèvre:
On Morphological Hierarchies for Image Sequences. ICPR 2020: 6235-6242 - [c81]Alice Froidevaux, Andréa Julier, Agustin Lifschitz, Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Pierre Lassalle, Thanh-Long Huynh:
Vehicle Detection and Counting from VHR Satellite Images: Efforts and Open Issues. IGARSS 2020: 256-259 - [c80]Luc Courtrai, Minh-Tan Pham, Chloé Friguet, Sébastien Lefèvre:
Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. IGARSS 2020: 260-263 - [c79]Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre:
On Auxiliary Losses for Semi-Supervised Semantic Segmentation. MACLEAN@PKDD/ECML 2020 - [e2]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), Virtual Conference, September 14-18, 2020. CEUR Workshop Proceedings 2766, CEUR-WS.org 2020 [contents] - [i27]Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre, Jan D. Wegner:
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end. CoRR abs/2003.10151 (2020) - [i26]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks. CoRR abs/2009.12664 (2020) - [i25]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection. CoRR abs/2009.14085 (2020) - [i24]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)
2010 – 2019
- 2019
- [j42]Nicolas Audebert
, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
:
Distance transform regression for spatially-aware deep semantic segmentation. Comput. Vis. Image Underst. 189 (2019) - [j41]François Merciol, Loïc Faucqueur, Bharath Bhushan Damodaran, Pierre-Yves Rémy, Baudouin Desclée, Fabrice Dazin, Sébastien Lefèvre
, Antoine Masse
, Christophe Sannier:
GEOBIA at the Terapixel Scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes. ISPRS Int. J. Geo Inf. 8(1): 46 (2019) - [j40]Sébastien Lefèvre
, David Sheeren
, Onur Tasar:
A Generic Framework for Combining Multiple Segmentations in Geographic Object-Based Image Analysis. ISPRS Int. J. Geo Inf. 8(2): 70 (2019) - [j39]Jirí Havel, François Merciol, Sébastien Lefèvre
:
Efficient tree construction for multiscale image representation and processing. J. Real Time Image Process. 16(4): 1129-1146 (2019) - [j38]Norman Kerle
, Markus Gerke
, Sébastien Lefèvre
:
GEOBIA 2016: Advances in Object-Based Image Analysis - Linking with Computer Vision and Machine Learning. Remote. Sens. 11(10): 1181 (2019) - [j37]Clément Dechesne, Sébastien Lefèvre
, Rodolphe Vadaine, Guillaume Hajduch, Ronan Fablet
:
Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning. Remote. Sens. 11(24): 2997 (2019) - [c78]Ahmed Samy Nassar, Sébastien Lefèvre, Jan Dirk Wegner:
Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints. ICCV 2019: 6558-6567 - [c77]Çaglayan Tuna, François Merciol, Sébastien Lefèvre:
Attribute Profiles For Satellite Image Time Series. IGARSS 2019: 126-129 - [c76]Florent Guiotte, Sébastien Lefèvre, Thomas Corpetti:
Voxel-Based Attribute Profiles on LIDAR Data for Land Cover Mapping. IGARSS 2019: 2491-2494 - [c75]Florent Guiotte, Sébastien Lefèvre
, Thomas Corpetti
:
Attribute Filtering of Urban Point Clouds Using Max-Tree on Voxel Data. ISMM 2019: 391-402 - [c74]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 - [c73]Florent Guiotte, Sébastien Lefèvre
, Thomas Corpetti
:
Rasterization strategies for airborne LiDAR classification using attribute profiles. JURSE 2019: 1-4 - [c72]Ahmed Samy Nassar, Sébastien Lefèvre
:
Automated Mapping Of Accessibility Signs With Deep Learning From Ground-level Imagery and Open Data. JURSE 2019: 1-4 - [c71]Ahmed Samy Nassar, Nico Lang, Sébastien Lefèvre
, Jan D. Wegner:
Learning geometric soft constraints for multi-view instance matching across street-level panoramas. JURSE 2019: 1-4 - [c70]Çaglayan Tuna, François Merciol, Sébastien Lefèvre
:
Monitoring Urban Growth with Spatial Filtering of Satellite Image Time Series. JURSE 2019: 1-4 - [c69]Çaglayan Tuna, François Merciol, Sébastien Lefèvre
:
Analysis of Min-Trees over Sentinel-1 Time Series for Flood Detection. MultiTemp 2019: 1-4 - [e1]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), Würzburg, Germany, September 20, 2019. CEUR Workshop Proceedings 2466, CEUR-WS.org 2019 [contents] - [i23]Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard:
End-to-end Learning for Early Classification of Time Series. CoRR abs/1901.10681 (2019) - [i22]Nicolas Audebert
, Bertrand Le Saux, Sébastien Lefèvre:
Deep Learning for Classification of Hyperspectral Data: A Comparative Review. CoRR abs/1904.10674 (2019) - [i21]Marc Rußwurm, Sébastien Lefèvre, Marco Körner:
BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification. CoRR abs/1905.11893 (2019) - [i20]Ahmed Samy Nassar, Sébastien Lefèvre, Jan D. Wegner:
Simultaneous multi-view instance detection with learned geometric soft-constraints. CoRR abs/1907.10892 (2019) - [i19]Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner:
Early Classification for Agricultural Monitoring from Satellite Time Series. CoRR abs/1908.10283 (2019) - [i18]Nicolas Audebert
, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
Distance transform regression for spatially-aware deep semantic segmentation. CoRR abs/1909.01671 (2019) - [i17]Alice Froidevaux, Andréa Julier, Agustin Lifschitz, Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Pierre Lassalle, Thanh-Long Huynh:
Vehicle detection and counting from VHR satellite images: efforts and open issues. CoRR abs/1910.10017 (2019) - [i16]Minh-Tan Pham, Sébastien Lefèvre:
Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks. CoRR abs/1910.14578 (2019) - 2018
- [j36]Petra Bosilj
, Ewa Kijak, Sébastien Lefèvre
:
Partition and Inclusion Hierarchies of Images: A Comprehensive Survey. J. Imaging 4(2): 33 (2018) - [j35]Minh-Tan Pham
, Sébastien Lefèvre
, François Merciol:
Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(7): 1125-1129 (2018) - [j34]Minh-Tan Pham
, Erchan Aptoula
, Sébastien Lefèvre
:
Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 249-256 (2018) - [j33]Antoine Masse
, Sébastien Lefèvre
, Renaud Binet
, Stephanie Artigues, Gwendoline Blanchet, Simon Baillarin:
Denoising Very High Resolution Optical Remote Sensing Images: Application and Optimization of Nonlocal Bayes method. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 691-700 (2018) - [j32]Minh-Tan Pham
, Sébastien Lefèvre
, Erchan Aptoula
:
Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(2): 1199-1212 (2018) - [c68]Mathieu Laroze, Romain Dambreville, Chloé Friguet, Ewa Kijak, Sébastien Lefèvre
:
Active Learning to Assist Annotation of Aerial Images in Environmental Surveys. CBMI 2018: 1-6 - [c67]Antoine Masse, Christophe Latry, Julien Nosavan, Simon Baillarin, Sébastien Lefèvre
:
A New Optimized Denoising Method applied to the Spot World Heritage Initiative and its Spot 5 Supermode images. IGARSS 2018: 4089-4092 - [c66]Nicolas Audebert
, Bertrand Le Saux, Sébastien Lefèvre
:
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. IGARSS 2018: 4359-4362 - [c65]Minh-Tan Pham, Erchan Aptoula
, Sébastien Lefèvre
:
Classification of Remote Sensing Images Using Attribute Profiles and Feature Profiles from Different Trees: A Comparative Study. IGARSS 2018: 4511-4514 - [c64]Minh-Tan Pham, Sébastien Lefèvre
:
Buried Object Detection from B-Scan Ground Penetrating Radar Data Using Faster-RCNN. IGARSS 2018: 6804-6807 - [c63]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 - [i15]Minh-Tan Pham, Sébastien Lefèvre:
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN. CoRR abs/1803.08414 (2018) - [i14]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Lorenzo Bruzzone:
Recent Developments from Attribute Profiles for Remote Sensing Image Classification. CoRR abs/1803.10036 (2018) - [i13]Nicolas Audebert
, Bertrand Le Saux, Sébastien Lefèvre:
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. CoRR abs/1806.02583 (2018) - [i12]Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study. CoRR abs/1806.06985 (2018) - 2017
- [j31]Sébastien Lefèvre
, Devis Tuia, Jan Dirk Wegner, Timothée Produit, Ahmed Samy Nassar:
Toward Seamless Multiview Scene Analysis From Satellite to Street Level. Proc. IEEE 105(10): 1884-1899 (2017) - [j30]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
:
Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification. Remote. Sens. 9(3): 196 (2017) - [j29]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) - [j28]Bharath Bhushan Damodaran
, Nicolas Courty, Sébastien Lefèvre
:
Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(4): 2385-2398 (2017) - [c62]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 - [c61]Minh-Tan Pham, Sébastien Lefèvre
, Erchan Aptoula
, Bharath Bhushan Damodaran:
Classification of VHR remote sensing images using local feature-based attribute profiles. IGARSS 2017: 747-750 - [c60]Minh-Tan Pham, Grégoire Mercier, Emmanuel Trouvé, Sébastien Lefèvre
:
SAR image texture tracking using a pointwise graph-based model for glacier displacement measurement. IGARSS 2017: 1083-1086 - [c59]Amina Ben Hamida, Alexandre Benoît, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert
, Sébastien Lefèvre
:
Deep learning for semantic segmentation of remote sensing images with rich spectral content. IGARSS 2017: 2569-2572 - [c58]Erchan Aptoula
, Minh-Tan Pham, Sébastien Lefèvre
:
Quasi-Flat Zones for Angular Data Simplification. ISMM 2017: 342-354 - [c57]Petra Bosilj
, Bharath Bhushan Damodaran, Erchan Aptoula
, Mauro Dalla Mura
, Sébastien Lefèvre
:
Attribute Profiles from Partitioning Trees. ISMM 2017: 381-392 - [c56]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 - [c55]Nicolas Audebert
, Bertrand Le Saux, Sébastien Lefèvre:
Fusion of heterogeneous data in convolutional networks for urban semantic labeling. JURSE 2017: 1-4 - [c54]Safak Guner Koc, Erchan Aptoula
, Petra Bosilj
, Bharath Bhushan Damodaran, Mauro Dalla Mura
, Sébastien Lefèvre
:
A comparative noise robustness study of tree representations for attribute profile construction. SIU 2017: 1-4 - [i11]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) - [i10]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) - [i9]Sébastien Lefèvre, Devis Tuia, Jan Dirk Wegner, Timothée Produit, Ahmed Samy Nassar:
Towards seamless multi-view scene analysis from satellite to street-level. CoRR abs/1705.08101 (2017) - [i8]Nicolas Audebert
, Bertrand Le Saux, Sébastien Lefèvre:
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. CoRR abs/1711.08681 (2017) - [i7]Amina Ben Hamida, Alexandre Benoît
, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert
, Sébastien Lefèvre:
Deep learning for semantic segmentation of remote sensing images with rich spectral content. CoRR abs/1712.01600 (2017) - 2016
- [j27]Nehla Ghouaiel, Sébastien Lefèvre
:
Coupling ground-level panoramas and aerial imagery for change detection. Geo spatial Inf. Sci. 19(3): 222-232 (2016) - [j26]Petra Bosilj
, Erchan Aptoula, Sébastien Lefèvre
, Ewa Kijak:
Retrieval of Remote Sensing Images with Pattern Spectra Descriptors. ISPRS Int. J. Geo Inf. 5(12): 228 (2016) - [j25]Petra Bosilj, Michael H. F. Wilkinson
, Ewa Kijak, Sébastien Lefèvre:
Local 2D Pattern Spectra as Connected Region Descriptors. Math. Morphol. Theory Appl. 1(1) (2016) - [j24]Luc Courtrai, Sébastien Lefèvre
:
Morphological path filtering at the region scale for efficient and robust road network extraction from satellite imagery. Pattern Recognit. Lett. 83: 195-204 (2016) - [j23]Erchan Aptoula
, Mauro Dalla Mura
, Sébastien Lefèvre
:
Vector Attribute Profiles for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(6): 3208-3220 (2016) - [c53]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 - [c52]Romain Huet, Nicolas Courty, Sébastien Lefèvre:
A new penalisation term for image retrieval in clique neural networks. ESANN 2016 - [c51]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 - [c50]Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre
:
Unsupervised classifier selection approach for hyperspectral image classification. IGARSS 2016: 5111-5114 - [c49]Mathieu Laroze, Luc Courtrai, Sébastien Lefèvre:
Human Detection from Aerial Imagery for Automatic Counting of Shellfish Gatherers. VISIGRAPP (4: VISAPP) 2016: 664-671 - [c48]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
:
Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach. WHISPERS 2016: 1-5 - [i6]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre:
A Subpath Kernel for Learning Hierarchical Image Representations. CoRR abs/1604.01787 (2016) - [i5]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre:
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach. CoRR abs/1606.04985 (2016) - [i4]Yanwei Cui, Sébastien Lefèvre, Laetitia Chapel, Anne Puissant:
Combining multiple resolutions into hierarchical representations for kernel-based image classification. CoRR abs/1607.02654 (2016) - [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
- [j22]Vincent Claveau, Sébastien Lefèvre
:
Topic segmentation of TV-streams by watershed transform and vectorization. Comput. Speech Lang. 29(1): 63-80 (2015) - [c47]François Merciol, Sébastien Lefèvre
:
Buffering Hierarchical Representation of Color Video Streams for Interactive Object Selection. ACIVS 2015: 864-875 - [c46]Petra Bosilj
, Ewa Kijak, Sébastien Lefèvre:
Beyond MSER: Maximally Stable Regions using Tree of Shapes. BMVC 2015: 169.1-169.13 - [c45]Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
:
A Subpath Kernel for Learning Hierarchical Image Representations. GbRPR 2015: 34-43 - [c44]Petra Bosilj
, Ewa Kijak, Michael H. F. Wilkinson
, Sébastien Lefèvre
:
Short local descriptors from 2D connected pattern spectra. ICIP 2015: 1548-1552 - [c43]François Merciol, Sébastien Lefèvre
:
Fast building extraction by multiscale analysis of digital surface models. IGARSS 2015: 553-556 - [c42]Petra Bosilj
, Michael H. F. Wilkinson, Ewa Kijak, Sébastien Lefèvre
:
Local 2D Pattern Spectra as Connected Region Descriptors. ISMM 2015: 182-193 - [c41]Abdullah Al-Dujaili, François Merciol, Sébastien Lefèvre
:
GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference. ISMM 2015: 301-312 - [c40]Vladimir Curic, Sébastien Lefèvre
, Cris L. Luengo Hendriks
:
Adaptive Hit or Miss Transform. ISMM 2015: 741-752 - 2014
- [j21]Laetitia Chapel, Thomas Burger
, Nicolas Courty, Sébastien Lefèvre
:
PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1070-1078 (2014) - [c39]Erchan Aptoula
, Nicolas Courty, Sébastien Lefèvre
:
An end-member based ordering relation for the morphological description of hyperspectral images. ICIP 2014: 5097-5101 - [c38]Sébastien Lefèvre
, Laetitia Chapel, François Merciol:
Hyperspectral image classification from multiscale description with constrained connectivity and metric learning. WHISPERS 2014: 1-4 - 2013
- [j20]Jonathan Weber
, Sébastien Lefèvre
:
Fast quasi-flat zones filtering using area threshold and region merging. J. Vis. Commun. Image Represent. 24(3): 397-409 (2013) - [c37]Petra Bosilj
, Sébastien Lefèvre
, Ewa Kijak:
Hierarchical Image Representation Simplification Driven by Region Complexity. ICIAP (1) 2013: 562-571 - [c36]Jirí Havel, François Merciol, Sébastien Lefèvre
:
Efficient Schemes for Computing α-tree Representations. ISMM 2013: 111-122 - [c35]Erhan Aptoula
, Jonathan Weber
, Sébastien Lefèvre
:
Vectorial Quasi-flat Zones for Color Image Simplification. ISMM 2013: 231-242 - [c34]Erchan Aptoula
, Nicolas Courty, Sébastien Lefèvre
:
Mitosis detection in breast cancer histological images with mathematical morphology. SIU 2013: 1-4 - 2012
- [j19]Jonathan Weber
, Sébastien Lefèvre
:
Spatial and spectral morphological template matching. Image Vis. Comput. 30(12): 934-945 (2012) - [j18]Benjamin Perret
, Sébastien Lefèvre
, Christophe Collet, Éric Slezak:
Hyperconnections and Hierarchical Representations for Grayscale and Multiband Image Processing. IEEE Trans. Image Process. 21(1): 14-27 (2012) - [j17]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
, Xiaodong Wu, Habib Zaidi
, Ziming Zeng, Heikki Minn
:
Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. IEEE Trans. Medical Imaging 31(11): 2006-2024 (2012) - [c33]Nicolas Courty, Erchan Aptoula, Sébastien Lefèvre:
A classwise supervised ordering approach for morphology based hyperspectral image classification. ICPR 2012: 1997-2000 - [c32]Laetitia Chapel, Thomas Burger
, Nicolas Courty, Sébastien Lefèvre
:
Classwise hyperspectral image classification with PerTurbo method. IGARSS 2012: 6883-6886 - [c31]François Merciol, Sébastien Lefèvre
:
Fast Image and Video Segmentation Based on Alpha-tree Multiscale Representation. SITIS 2012: 336-342 - 2011
- [j16]Sébastien Lefèvre
, Nicole Vincent:
A two level strategy for audio segmentation. Digit. Signal Process. 21(2): 270-277 (2011) - [c30]Vincent Claveau, Sébastien Lefèvre:
Segmentation thématique : apport de la vectorisation. CORIA 2011: 247-254 - [c29]Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski:
Interactive video segmentation based on quasi-flat zones. ISPA 2011: 265-270 - [c28]Vincent Claveau, Sébastien Lefèvre:
Topic Segmentation of TV-Streams by Mathematical Morphology and Vectorization. INTERSPEECH 2011: 1105-1108 - [c27]Benjamin Perret, Sébastien Lefèvre
, Christophe Collet:
Toward a New Axiomatic for Hyper-Connections. ISMM 2011: 85-95 - [c26]Jonathan Weber
, Sébastien Lefèvre
, Pierre Gançarski:
Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. ISMM 2011: 178-189 - [c25]Sébastien Lefèvre
, Vincent Claveau:
Topic Segmentation: Application of Mathematical Morphology to Textual Data. ISMM 2011: 472-481 - 2010
- [j15]Sébastien Derivaux, Germain Forestier
, Cédric Wemmert, Sébastien Lefèvre:
Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation. Pattern Recognit. Lett. 31(15): 2364-2374 (2010) - [c24]Benjamin Perret, Sébastien Lefèvre
, Christophe Collet, Éric Slezak:
Connected Component Trees for Multivariate Image Processing and Applications in Astronomy. ICPR 2010: 4089-4092 - [c23]Jonathan Weber
, Sébastien Lefèvre
, Pierre Gançarski:
Video Object Mining: Issues and Perspectives. ICSC 2010: 85-90
2000 – 2009
- 2009
- [b2]Sébastien Lefèvre:
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). University of Strasbourg, France, 2009 - [j14]Erchan Aptoula
, Sébastien Lefèvre
:
On the morphological processing of hue. Image Vis. Comput. 27(9): 1394-1401 (2009) - [j13]Sébastien Lefèvre
:
Beyond morphological size distribution. J. Electronic Imaging 18(1): 013010 (2009) - [j12]Benjamin Perret
, Sébastien Lefèvre
, Christophe Collet:
A robust hit-or-miss transform for template matching applied to very noisy astronomical images. Pattern Recognit. 42(11): 2470-2480 (2009) - [j11]Erchan Aptoula
, Sébastien Lefèvre
, Christian Ronse:
A hit-or-miss transform for multivariate images. Pattern Recognit. Lett. 30(8): 760-764 (2009) - [j10]Erchan Aptoula
, Sébastien Lefèvre
:
Morphological Description of Color Images for Content-Based Image Retrieval. IEEE Trans. Image Process. 18(11): 2505-2517 (2009) - [c22]Sébastien Lefèvre
:
A New Approach for Unsupervised Classification in Image Segmentation. EGC (best of volume) 2009: 113-131 - [c21]Sébastien Lefèvre:
Une nouvelle approche pour la classification non supervisée en segmentation d'image. EGC 2009: 127-138 - [p1]Sébastien Lefèvre
:
Image Features from Morphological Scale-Spaces. Semantic Mining Technologies for Multimedia Databases 2009: 32-79 - 2008
- [j9]Olivier Lezoray
, Christophe Charrier, Hubert Cardot, Sébastien Lefèvre
:
Machine Learning in Image Processing. EURASIP J. Adv. Signal Process. 2008 (2008) - [j8]Erchan Aptoula
, Sébastien Lefèvre
:
alpha-Trimmed lexicographical extrema for pseudo-morphological image analysis. J. Vis. Commun. Image Represent. 19(3): 165-174 (2008) - [j7]Erchan Aptoula
, Sébastien Lefèvre
:
On lexicographical ordering in multivariate mathematical morphology. Pattern Recognit. Lett. 29(2): 109-118 (2008) - [c20]Benjamin Perret, Sébastien Lefèvre, Christophe Collet, Bernd Vollmer:
Astronomical object detection with a robust hit-or-miss transform. EUSIPCO 2008: 1-5 - [c19]Jonathan Weber
, Sébastien Lefèvre
:
A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching. ICISP 2008: 226-235 - 2007
- [j6]Sébastien Lefèvre
, Nicole Vincent:
Efficient and robust shot change detection. J. Real Time Image Process. 2(1): 23-34 (2007) - [j5]Erchan Aptoula
, Sébastien Lefèvre
:
A comparative study on multivariate mathematical morphology. Pattern Recognit. 40(11): 2914-2929 (2007) - [j4]David Sheeren, Sébastien Lefèvre, Jonathan Weber:
La morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS. Rev. Int. Géomatique 17(3-4): 333-352 (2007) - [c18]Erchan Aptoula
, Sébastien Lefèvre:
A Basin Morphology Approach to Colour Image Segmentation by Region Merging. ACCV (1) 2007: 935-944 - [c17]Sébastien Lefèvre:
Knowledge from Markers in Watershed Segmentation. CAIP 2007: 579-586 - [c16]Erchan Aptoula, Sébastien Lefèvre:
On morphological color texture characterization. ISMM (1) 2007: 153-164 - [c15]Sébastien Lefèvre:
Extending Morphological Signatures for Visual Pattern Recognition. PRIS 2007: 79-88 - 2006
- [j3]Sébastien Lefèvre, Nicole Vincent:
Outils pour la recherche d'extraits pertinents dans les séquences vidéo. Applications aux retransmissions télévisées de matchs de football. Tech. Sci. Informatiques 25(10): 1311-1340 (2006) - [c14]Erchan Aptoula, Sébastien Lefèvre, C. Collet:
Mathematical morphology applied to the segmentation and classification of galaxies in multispectral images. EUSIPCO 2006: 1-5 - [c13]Erchan Aptoula
, Sébastien Lefèvre:
Spatial Morphological Covariance Applied to Texture Classification. MRCS 2006: 522-529 - 2005
- [c12]Sébastien Lefèvre, Nicole Vincent:
Extraction d'indices spatiaux et temporels dans des séquences vidéo couleur. EGC (Ateliers) 2005: 245-258 - [c11]Sébastien Lefèvre
, Nicole Vincent:
Caption Localisation in Video Sequences by Fusion of Multiple Detectors. ICDAR 2005: 106-110 - 2004
- [j2]Sébastien Lefèvre, Florence Sèdes:
Indexation de séquences vidéo. Indices liés au temps. Document Numérique 8(4): 41-48 (2004) - [c10]Sébastien Lefèvre, Nicole Vincent:
Real Time Multiple Object Tracking Based on Active Contours. ICIAR (2) 2004: 606-613 - 2003
- [j1]Sébastien Lefèvre, Jérôme Holler, Nicole Vincent:
A review of real-time segmentation of uncompressed video sequences for content-based search and retrieval. Real Time Imaging 9(1): 73-98 (2003) - [c9]Sébastien Lefèvre, Emmanuel Bouton, Thierry Brouard, Nicole Vincent:
A new way to use hidden Markov models for object tracking in video sequences. ICIP (3) 2003: 117-120 - [c8]Sébastien Lefèvre, Nicole Vincent, Christian Proust:
Architecture et Outils pour la Recherche d'Evénements dans les Séquences Vidéo. INFORSID 2003: 135-150 - [c7]Sébastien Lefèvre, Cédric Jeusse, Nicole Vincent:
A Comparison of Line Detectors for Image Background Modelling. PRIS 2003: 185-190 - 2002
- [b1]Sébastien Lefèvre:
Détection d'événements dans une séquence vidéo. (Event detection in a video sequence). François Rabelais University, Tours, France, 2002 - [c6]Sébastien Lefèvre, Loïc Mercier, Vincent Tiberghien, Nicole Vincent:
Multiresolution Color Image Segmentation Applied to Background Extraction in Outdoor Images. CGIV 2002: 363-367 - [c5]Sébastien Lefèvre
, Benjamin Maillard, Nicole Vincent:
3 classes segmentation for analysis of football audio sequences. DSP 2002: 975-978 - [c4]Sébastien Lefèvre
, Charles Dixon, Cédric Jeusse, Nicole Vincent:
A local approach for fast line detection. DSP 2002: 1109-1112 - [c3]Sébastien Lefèvre, Benjamin Maillard, Nicole Vincent:
A Two Level Classifier Process for Audio Segmentation. ICPR (3) 2002: 891-894 - 2000
- [c2]Anne-Sophie Capelle, Olivier Alata, C. Fernandez, Sébastien Lefèvre, J. C. Ferrie:
Unsupervised Segmentation for Automatic Detection of Brain Tumors in MRI. ICIP 2000: 613-616 - [c1]Sébastien Lefèvre, Cyril Fluck, Benjamin Maillard, Nicole Vincent:
A Fast Snake-Based Method to Track Football Player. MVA 2000: 501-504
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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