Azure Computer Vision Research (ACVR) group is conducting cutting edge research in all aspects of computer vision, with the goal of advancing the state of the art and developing the best computer ...

As shopping becomes more visually driven, imagery plays a central role in how people evaluate products. Images and videos can unfurl complex stories in an instant, making them powerful tools for ...

A real-time fall detection system using computer vision with YOLOv12 for person detection and MediaPipe for pose estimation. The system features an intuitive dashboard for monitoring and analyzing ...

This branch contains the pytorch implementation of ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation. It obtains 81.1 AP on MS COCO Keypoint test-dev set. Using detection results ...

Objective: To evaluate the precision of a computer vision (CV) and augmented reality (AR) pipeline for orthodontic applications, specifically in direct bonding and temporary anchorage device (TAD) ...

ABSTRACT: Under the background of artificial intelligence empowering higher education, this study addresses the issues of outdated content, singular teaching methodologies, one-sided assessment, and ...

Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, ...

Abstract: Human pose estimation constitutes a foundational task within the domain of computer vision, boasting diverse applications spanning from surveillance methodologies to healthcare paradigms.