Papers
2
Total Citations
12
H-Index
2
About
Jeongwan On is a rising researcher in computer vision, with a focused expertise in egocentric perception and 3D hand-object interaction understanding. His work directly addresses a critical challenge in augmented reality (AR), virtual reality (VR), and robotics: accurately reconstructing how humans use their hands to interact with objects from a first-person perspective. On’s major contribution is the development of comprehensive benchmarks and the identification of key challenges in pose estimation for these complex, occluded scenarios. His seminal paper, "Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects" (2024), has quickly garnered over 10 citations, establishing a foundational reference point for the field. By highlighting the difficulty of holistic 3D reconstruction from egocentric views, On’s research provides a crucial roadmap for advancing applications in action recognition and motion generation. His work is notable for its timely focus on a core bottleneck in immersive technology, positioning him as a key voice in the push toward more seamless and intuitive human-computer interaction.
Research Focus
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Top Papers
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