Md Jiabul Hoque

International Islamic University Chittagong

Papers

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About

Md Jiabul Hoque is a computer vision researcher whose work centers on efficient human pose estimation, with a particular focus on lightweight neural architectures for real-time applications. His most-cited paper, "Skeleton and Joint Angle Estimation Based on MobileNet" (2023), addresses a core challenge in 2D pose estimation: detecting body keypoints and reconstructing a skeletonized pose using the MobileNet architecture. This work is significant for its potential in resource-constrained environments, enabling practical deployment in healthcare and rehabilitation settings where computational efficiency is critical. Hoque’s research bridges the gap between high-accuracy pose detection and real-world usability, contributing to fields such as physical therapy monitoring, assistive robotics, and sports biomechanics. His approach to skeleton and joint angle estimation has garnered attention for its applicability in non-invasive body-part tracking, with his cited work laying groundwork for further advances in lightweight pose models. By prioritizing mobile-friendly solutions, Hoque is helping to democratize computer vision tools for health and human movement analysis.