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Olivier Parisot

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Lead Research and Technology Scientist

Luxembourg Institute of Science and Technology (LIST)

Luxembourg

Research Interests

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Recent Grants

Grant: Open

Explainable Ai on Satellite images for Environmental Analytics (EASE)

Open Date: 2026-05-01

Close Date: 2029-09-01

Grant: Open

AI for Space Objects Detection 2 (NEOD2)

Open Date: 2026-01-01

Close Date: 2026-12-01

Grant: Close

Generative AI with HPC for Near Earth Object Detection (NEOD)

Open Date: 2025-01-01

Close Date: 2025-01-01

Grant: Close

MachIne Learning for AstroNomy 2 (MILAN2)

Open Date: 2024-01-01

Close Date: 2025-01-01

Grant: Close

eXplainable Image Quality Assessment of Scientific Low-Light Images

Open Date: 2023-05-01

Close Date: 2023-09-01

Articles (12)

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2026

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2026

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2026

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

Collaborators (1)

Pierrick Bruneau

Research and Technology Associate

Luxembourg Institute of Science and Technology (LIST)

LUXEMBOURG

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Olivier Parisot

Research Interests

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Recent Grants

Articles (12)

Benchmarking YOLOv8 and YOLOv11 for Meteor Echo Detection in BRAMS Radio Spectrograms

Benchmarking YOLO and RT-DETR Models for Streaks Detection

Detecting Streaks in Smart Telescopes Images with Deep Learning

Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Predicting Solar Flare Classes

Method and Tools to Collect, Process, and Publish Raw and AI-Enhanced Astronomical Observations on YouTube

Combining AI-powered detection and Immersive Technologies for Robotic Space Mission Planning

Impact of satellites streaks for observational astronomy: a study on data captured during one year from Luxembourg Greater Region

Deep Sky Objects Detection with Deep Learning for Electronically Assisted Astronomy

DeepSpaceYoloDataset: Annotated Astronomical Images Captured with Smart Telescopes

MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope

Astronomical Images Quality Assessment with Automated Machine Learning

Deep Regression Learning for Collaborative Electronically Assisted Astronomy

Collaborators (1)

Pierrick Bruneau

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