The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...

Abstract: While traditional domain adaptation methods have yielded satisfactory outcomes in vehicle re-identification on established datasets, they typically operate within a centralized framework.

India has instituted a new mandate: until March 30, only those with expertise in AI are permitted to share their insights. Laypersons are urged to refrain from commenting, with substantial ...

Abstract: Frequency-modulated continuous wave (FMCW) radar-based hand gesture recognition (HGR) systems face deployment challenges due to variations in radar hardware, antenna layouts, and gesture ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...