Abstract: This paper presents a novel approach incorporating Facial Expression Recognition (FER) to improve emotional and contextual understanding in Vision-Language Pretraining (VLP) model-generated ...
AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
Abstract: Zero-shot learning (ZSL) for unknown target recognition in synthetic aperture radar (SAR) images is of great significance as the training samples of certain targets may not be available ...
This repository contains the reference implementation for FiNDR (Fine-grained Name Discovery via Reasoning), a fully automated framework for vocabulary-free fine-grained image recognition using ...
Editor’s note: The above video is from a related story that KXAN reported in April 2025. AUSTIN (KXAN) — The Austin Police Department has released its latest report of instances in which it used ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Oregon Senator Ron Wyden is holding a press conference with several groups ahead of the U.S. Senate taking up debate on the funding for the Department of Homeland Security. WATCH: SENATOR WYDEN PRESS ...
Northern Ireland may soon follow England and Wales in allowing police to use facial recognition to generate investigative leads based on biometric matches. “At this stage, we are engaging with these ...
Federal use of facial recognition and related surveillance technologies has expanded decisively into the monitoring of domestic protest activity, according to a growing body of reporting and firsthand ...
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