Seeing Hands Differently: A New Approach to Pose Estimation

Researchers are leveraging subtle skin deformations on the back of the hand to dramatically improve the accuracy of hand tracking in first-person views.

Researchers are leveraging subtle skin deformations on the back of the hand to dramatically improve the accuracy of hand tracking in first-person views.

A new system uses artificial intelligence to generate realistic user interactions, dramatically increasing the speed and scale of usability evaluations.

Researchers have developed a new method for efficiently reconstructing and rendering dynamic urban environments from sparse data, enabling real-time visualization and applications like autonomous driving.

A new framework leverages table structure and synthetic queries to significantly improve the accuracy of data retrieval systems.

A new approach leverages reconfigurable intelligent surfaces to dramatically improve the performance of imaging-based surveillance systems at low altitudes.

A new hybrid architecture empowers on-device audio systems to intelligently offload complex queries to the cloud, boosting accuracy while preserving user privacy.

Researchers have developed a novel reinforcement learning framework that combines the strengths of model-based control and data-driven techniques to create more robust and efficient walking gaits for humanoid robots.
Researchers have developed a novel AI model that dissects complex brain activity, offering a clearer link between neural processes and potential treatments.

A new approach leverages attention mechanisms and surrogate modeling to intelligently schedule HPC jobs, optimizing for both runtime and power consumption.

Researchers have developed a system that lets users query complex spatio-temporal databases using plain English, bypassing the need for specialized coding.