three-dimensional view of the Palisades Fire in the Pacific Palisades area of Los Angeles. The map shows the active wildfire perimeter and the areas under mandatory evacuation orders and warnings.
We embrace two key design choices in Glissando-Net to achieve a more accurate prediction of the 3D shape and pose of the object given a single RGB image as input. First, we augment the feature maps of ...
In this work, we propose a deep beamformer for real-time 3D PAM with RCA arrays. The deep beamformer leverages a deep neural network to map radio-frequency microbubble (MB) cavitation signals acquired ...