For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

Abstract: Most visual recognition studies rely heavily on crowd-labelled data in deep neural networks (DNNs) training, and they usually train a DNN for each single visual recognition task, leading to ...

HADAR night vision tech enables robots and cars to see textures, distances, and materials in complete darkness, just like ...

Abstract: This paper presents a CPU-FPGA heterogeneous system that provides hardware support for computer vision libraries to attain acceleration over image processing applications. The architecture ...