research

Shaping the Future of AI for Videos

Our mission is to uncover the moments that matter through advanced video retrieval and understanding. We build AI models that don't just see video, but navigate and transform it into meaningful narratives.

Moments Lab’s Research Principles

Building ethical AI models is at the heart of what we do.

Responsibility

We develop AI algorithms
that consider everyone and mitigate bias to prevent discriminatory outcomes.

Sustainability

We develop AI algorithms
that consider everyone and mitigate bias to prevent discriminatory outcomes.

Transparency

We develop AI algorithms
that consider everyone and mitigate bias to prevent discriminatory outcomes.

Latest articles

Paper breakdown
Sep 18, 2025
The Impact of Frame Sampling on Small Vision Language Models
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Multimodal AI
Aug 12, 2025
MXT-2: A New Leap in Hierarchical Video Understanding
Moments Lab Research Team
Insights
Dec 10, 2024
Top 10 AI Conferences to Attend in 2025
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Latest publications

Publication
Sep 18, 2025
Frame Sampling Strategies Matter: A Benchmark for Small Vision Language Models
Brkic M.
Anas Filali Razzouki
Yannis Tevissen
Khalil Guetari
El Yacoubi M.
Publication
Mar 21, 2025
Vision and Language Models for Enhanced Archive Video Management
Khalil Guetari
Yannis Tevissen
Frederic Petitpont
Publication
Jul 9, 2024
Towards Retrieval Augmented Generation over Large Video Libraries
Yannis Tevissen
Khalil Guetari
Frederic Petitpont
Publication
Jun 1, 2024
Multimodal Chaptering for Long-Form TV Newscast Video
Khalil Guetari
Yannis Tevissen
Frederic Petitpont

Featured Authors

El Yacoubi M.

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Anas Filali Razzouki
Postdoctoral Researcher

Dr. Anas Filali is a postdoctoral researcher at Moments Lab, specializing in computer vision and machine learning. After completing his studies in applied mathematics and data science, he earned a PhD in artificial intelligence in 2025 from Institut Polytechnique de Paris, where his research focused on detecting Parkinson’s disease through facial video analysis. His work now involves developing Video Language Models (VLMs) to understand and articulate complex temporal dynamics in videos . He is also actively involved in teaching the foundations of artificial intelligence to university students.

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Brkic M.

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Kerleroux E.

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Tassel M.

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Boutamine S.

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Chollet G.

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Zalc V.

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Istrate D.

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Killian Steunou
Research Scientist — PhD Student

Killian Steunou is a Machine Learning PhD student at Institut Polytechnique de Paris, specializing in computer vision and deep learning. His research focuses on efficient omni-modal learning for video understanding. He also has hands-on industry experience from Idemia, CLS, and JoliBrain, where he worked on multi-object tracking, foundation models for remote sensing, and generative image systems. Killian holds a Master's in Mathematics, Vision & Learning (MVA) from ENS Paris-Saclay and brings a strong foundation in applied mathematics, open-source development, and reproducible research.

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Moments Lab Research Team

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Khalil Guetari

Khalil Guetari is a Machine Learning Engineer at Moments Lab where he tackles AI projects from the research stage through to product features deployed at scale. He has more than four years of experience as a specialized engineer in computer vision and natural language processing for multimodal image and video understanding.

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Frederic Petitpont

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Boudy, J.

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Yannis Tevissen
Head of Research

Dr. Yannis Tevissen is Head of Research at Moments Lab, where he follows R&D projects from research ideas to products deployed at scale. After a short founder experience, he gained his PhD in artificial intelligence in 2023 from Institut Polytechnique de Paris. Yannis’s overall research focus is video understanding and multimodal processing. Yannis is also an emerging voice for disability inclusion, advocating for accessible workplaces and developing AI that provides more accurate and diverse representations.

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Press team

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Moments Lab Research Program

We are committed to a diverse program of machine learning research in the field of video understanding. From low-power AI models that require minimum energy consumption for video analysis, to improving the quality of outputs through multimodal and generative AI, and empowering teams in their daily tasks.

Our Research Program Partners:

Join the Research Team