Abstract: This paper introduces a practical deep learning framework for recognizing human activities in indoor environments using MediaPipe pose estimation with multi-branch bidirectional LSTM ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

A PyTorch implementation of "Hierarchical Deep Temporal Models for Group Activity Recognition" (CVPR 2016). This repository reproduces and extends the baselines described in the paper and provides ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

Finland has spent decades digging caves into its bedrock. Now, as Russia rears its head, nervous Finns want to know: “Where’s my shelter?” Credit... Supported by By Sally McGrane Visuals by Vesa ...

Abstract: This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques. We propose a ...