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Sébastien Lefèvre

Full Profesor in Computer Science

Université de Bretagne Occidentale

France

Research Interests

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Professors in France Professors in Computer Vision Computer Vision professors in France

About

Professor Sébastien Lefèvre is a Full Professor in Computer Science at Université de Bretagne-Sud, France. His research focuses on advanced techniques in multimodal object detection, unsupervised domain adaptation, and 3D point cloud analysis. He has contributed to significant advancements in deep learning applications for environmental monitoring and remote sensing through his recent publications.

Articles (19)

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2027

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2022

Collaborators (7)

Muhammad Shahzad

W2 Professor (Guest)

Technical University of Munich

GERMANY

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Rémi Emonet

Jean Monnet University

FRANCE

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Hoàng-Ân Lê

Université de Bretagne Occidentale

FRANCE

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Thomas Corpetti

Université Lumière Lyon 2

FRANCE

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Dirk Tiede

Assoc Prof

University of Salzburg

AUSTRIA

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Marc Rußwurm

Wageningen University & Research

NETHERLANDS

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Sudipan Saha

Assistant Professor

Indian Institute of Technology, Delhi

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Sébastien Lefèvre

Research Interests

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About

Articles (19)

LiDAR-Driven Morphological Feature Spaces for Interactive Scene Analysis

Spatio-Temporal Pattern Spectra for Analysis of Satellite Image Time Series

On the Use of Graphs for Satellite Image Time Series: A comprehensive review

Efficient Content-Based Time Series Retrieval Using Pattern Spectra

YOLO-G3CF: Gaussian Contrastive Cross-Channel Fusion for Multimodal Object Detection

Change Detection Needs Change Information: Improving Deep 3-D Point Cloud Change Detection

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

Variational Autoencoder with Gaussian Random Field prior: Application to unsupervised animal detection in aerial images

Deep unsupervised learning for 3D ALS point clouds change detection

Siamese KPConv: 3D multiple change detection from raw point clouds using deep learning

End-to-end learned early classification of time series for in-season crop type mapping

A Deep Active Contour Model for Delineating Glacier Calving Fronts

DC3DCD: Unsupervised learning for multiclass 3D point cloud change detection

Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised Learning [Technical Committees]

Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images

Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images

Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning

Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN

Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis

Collaborators (7)

Muhammad Shahzad

Rémi Emonet

Hoàng-Ân Lê

Thomas Corpetti

Dirk Tiede

Marc Rußwurm

Sudipan Saha

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