A truly generalizable approach to rigid segmentation and motion estimati...
In this work, we introduce a novel framework which combines physics and
...
We propose DeepExplorer, a simple and lightweight metric-free exploratio...
Current class-incremental learning research mainly focuses on single-lab...
We propose a novel framework to learn 3D point cloud semantics from 2D
m...
Direction finding and positioning systems based on RF signals are
signif...
We present a new framework SoundDet, which is an end-to-end trainable an...
In this paper, we focus on the multi-object tracking (MOT) problem of
au...