1 Cranbrook School, Bloomfield Hills, MI, USA. 2 Massachusetts Institute of Technology, Cambridge, MA, USA. Human pose estimation has shown increasing potential in sports analytics, particularly for ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov ...

A high-performance attendance system using Next.js with and ML-server using Flask, RetinaFace for face detection and ArcFace for recognition, achieving 95%+ accuracy. Deployed on Azure with Prometheus ...

Lumen – Asistente IA Empático y Multimodal (rostro y voz) en tiempo real. Potenciado por Llama 3.1 (Groq), Deepgram y Edge-TTS. A high-performance attendance system using Next.js with and ML-server ...

Introduction: Human pose estimation is a critical challenge in computer vision, with significant implications for robotics, augmented reality, and biomedical research. Current advancements in pose ...

Abstract: Vision-based pose estimation plays a crucial role in the autonomous navigation of flight platforms. However, the field of view (FoV) and spatial resolution of the camera limit pose ...

The Chat feature of Google AI Studio allows users to interact with Gemini models in a conversational format. This feature can make everyday tasks easier, such as planning a trip itinerary, drafting an ...

Abstract: Bin-picking is a practical and challenging robotic manipulation task, where accurate 6D pose estimation plays a pivotal role. The workpieces in bin-picking are typically texture-less and ...

This useful study introduces a deep learning-based algorithm that tracks animal postures with reduced drift by incorporating transformers for more robust keypoint detection. The efficacy of this new ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...