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ORCIDSébastien Lefèvre
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- affiliation: IRISA, Rennes, France
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2020 – today
- 2025
[j62]Abdelbadie Belmouhcine, Minh-Tan Pham, Sébastien Lefèvre:
YOLO-G3CF: Gaussian Contrastive Cross-Channel Fusion for Multimodal Object Detection. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025)- 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) - [c111]Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard, Minh-Tan Pham, Sébastien Lefèvre, Rumsais Blatrix, Doyle McKey:
Mapping Earth Mounds from Space. IGARSS 2024: 4044-4049 - [c110]Iris de Gélis, Thomas Bernard, Dimitri Lague, Thomas Corpetti, Sébastien Lefèvre:
Landslide Detection in 3D Point Clouds With Deep Siamese Convolutional Network. IGARSS 2024: 4574-4577 - [c109]Shivam Pande, Baki Uzun, Florent Guiotte, Minh-Tan Pham, Thomas Corpetti, Florian Delerue, Sébastien Lefèvre:
Plant Detection from Ultra High Resolution Remote Sensing Images: A Semantic Segmentation Approach Based on Fuzzy Loss. IGARSS 2024: 5213-5217 - [c108]Vitória Barbosa Ferreira, David Sheeren, Sébastien Lefèvre, Stefan Lang:
More Labels or Better Labels? A Semantic Segmentation Study Case Using Historical Aerial Images for Tree Delineation. IGARSS 2024: 9604-9608 - [i38]Shivam Pande, Baki Uzun, Florent Guiotte, Thomas Corpetti, Florian Delerue, Sébastien Lefèvre:
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss. CoRR abs/2409.00513 (2024) - [i37]Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard, Minh-Tan Pham, Sébastien Lefèvre, Rumsais Blatrix, Doyle McKey:
Mapping earth mounds from space. CoRR abs/2409.00518 (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
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