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AIML Special Presentation: Active Perception and Reasoning in Open Worlds

Shijie Li

Building intelligent systems that can perceive, reason, and act in open worlds remains a grand challenge. In this talk, Dr Shijie Li will share his journey toward active perception鈥攆rom unifying 2D vision-language understanding to structured 3D reasoning and high-level foresight.

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AIML Research Seminar: Understanding Scene Understanding

Professor Minh Hoai Nguyen and Professor Greg Zelinsky

Abstract: How do humans represent a scene after a brief period of viewing? Research shows that the 鈥済ist鈥 of a scene (i.e., the scene name and layout) is extracted almost immediately from the blurred visual periphery, but little is known about how scene understanding evolves with viewing fixations. We studied this question using an integrated behavioural and computational approach with the aim of identifying scene metamers鈥攕cenes generated by a latent diffusion model that humans inaccurately believe were scenes they had just viewed (original scenes).

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