Hsuan-I Ho

Papers

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About

Hsuan-I Ho is a computer vision researcher whose work centers on 6DoF (six-degree-of-freedom) object pose estimation and tracking, with a particular focus on advancing augmented reality and robotic manipulation. His most cited contribution, the 2017 paper "A Benchmark Dataset for 6DoF Object Pose Tracking," established a critical evaluation framework for the field, providing the first standardized dataset for tracking object poses in real-world scenes. This work has garnered 29 citations and remains a foundational resource for researchers developing and comparing pose tracking algorithms. Ho's research addresses the fundamental challenge of accurately determining an object's position and orientation in 3D space—a task essential for enabling seamless interactions between digital and physical worlds. By creating rigorous benchmarks and evaluation protocols, he has helped drive progress in this domain, enabling more reliable and robust pose tracking systems. His contributions are particularly valuable for applications in augmented reality, where precise object alignment is crucial, and in robotics, where accurate pose estimation enables effective grasping and manipulation.