They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles. The Quantum ...

Its web-based platform pairs physical therapists with webAI and computer vision to remotely deliver MSK care that precisely monitors patients and tracks outcomes—on par with a physical therapist ...

Abstract: Pose estimation is an important operation for many vision tasks. In this paper, the authors propose an algorithm for pose estimation based on the volume measurement of tetrahedra composed of ...

Abstract: Wi-Fi-enabled vision offers a transformative paradigm for non-optical pose estimation, particularly in occluded ... we propose a Convolutional Transformer Network. This architecture ...

We expect iPhone prices to go up, regardless of tariffs. Here's how to decide whether you should make a purchase now or wait. Tiffany Wendeln Connors is a senior editor for CNET Money with a focus ...

This demo is a simple software that I created using my studies and courses. It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for ...

This useful study introduces a deep learning-based algorithm ... architecture to ADPT, we conducted two ablation studies using the fly dataset. We compared multiple variants to uncover the impacts of ...

Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images" Multi-View Operating Room ...

The vision encoder is based on SigLIP-B/16, a transformer-based architecture known for its robust feature extraction from images. This visual backbone transforms input images into embeddings that can ...