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Results for "scene understanding"

Spatial AI to help humans and enable robots

MBZUAI · Invalid Date

Marc Pollefeys from ETH Zurich and Microsoft Spatial AI Lab will discuss building 3D environment representations for assisting humans and robots. The talk covers visual 3D mapping, localization, spatial data access, and navigation using geometry and learning-based methods. It also explores building rich 3D semantic representations for scene interaction via open vocabulary queries leveraging foundation models. Why it matters: Advancements in spatial AI and 3D scene understanding are critical for enabling more capable robots and AI assistants in various applications within the region.

Using augmentation of user’s senses, and scene understanding to enable a more inclusive workspace

MBZUAI · Invalid Date

Eyal Ofek of Microsoft Research is researching how to augment users' senses and use scene understanding to create more inclusive workspaces, especially for remote work. His work involves designing applications flexible to changing environments and personalized to each user. Ofek's background includes computer vision, augmented reality, and leading research groups at Microsoft. Why it matters: This research aims to improve remote collaboration and adapt technology to individual user needs, which could enhance productivity and inclusivity in the evolving work landscape of the GCC region.