Séminaire

Vendredi 12 Décembre 2025 à 11h00.

Computer Vision 101 : A Navigational Introduction to AI for Image Processing

Vladimir PIMONOV
(Institut Lumière Matière)

Salle de séminaires Lippmann

Invité(e) par
Abdul Rahman ALLOUCHE

présentera en 1 heure :

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Résumé / Abstract :
The accelerating development of artificial intelligence (AI) is rapidly extending beyond the borders of computer science, shaping our daily lives through breakthroughs, new tools, and innovative applications. Yet, despite the impressive accessibility of tools like ChatGPT (which kindly assisted in editing this abstract), most AI models remain complex to approach — especially for researchers without a programming background.
This seminar aims to present deep learning, and particularly computer vision, not as a mysterious or inaccessible domain, but as a practical and approachable tool that can empower research across disciplines.
We will explore:
- A brief history of deep learning — how far back do neural networks really go ?
- The mathematical intuition — why and how deep learning models work.
- Core computer vision problems — from classification to object detection and segmentation.
- Case studies — successful applications of computer vision in research.
- Hands-on introduction —how to get started with Python and Jupyter even if, for you, “Python”, “Spider”, “Pandas” and “Jupiter” still sound like an animals and a planet.
The goal is to provide participants with both conceptual understanding and practical guidance on how to start using these tools in their own work — no prior coding experience required.
About the Speaker:
Dr. Vladimir Pimonov is a postdoctoral researcher at the Institut Lumière Matière (Université Claude Bernard Lyon 1) specializing in the physics of nanomaterials and data-driven research. His work bridges experimental nanoscience and artificial intelligence, with a focus on applying computer vision and deep learning to microscopy and materials analysis. As a member of ILM’s AI working group and an experienced science communicator, he combines hands-on expertise in research with a clear, approachable way of explaining complex computational concepts.
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