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ORCIDSébastien 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. <