On December 11, 2024, Dr. Azeddine Beghdadi, a visiting professor from the University Sorbonne Paris Nord, delivered a compelling seminar titled Computational Visual Perception Models for Image/Video Processing and Analysis in the Era of Deep Learning. The seminar explored the intersection of human visual perception mechanisms and the advancements in computer vision powered by deep learning models.

Dr. Beghdadi highlighted how research into mammalian visual systems has paved the way for the current era of artificial intelligence, particularly deep neural networks, in solving complex computer vision problems. He emphasized that much of the work done over the past century in modeling perceptual vision mechanisms laid the groundwork for today's AI-driven solutions.

The seminar covered various applications of computer vision, focusing on intelligent video surveillance as a comprehensive example of how these models can be applied in real-world settings. Dr. Beghdadi also shared insights from his career, addressing key scientific questions and discussing how AI development should move beyond just practical applications to include a more holistic approach to design.

The event offered participants a deeper understanding of how deep learning continues to shape the field of visual perception and its practical applications in modern technology.

 The following are the highlights of the event: