Youngseon Lee

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About

Youngseon Lee is a rising researcher at the intersection of computer vision, human-robot interaction, and extended reality, with a primary focus on advancing hand tracking and teleoperation technologies. Lee’s most influential work, "Hand Tracking: Survey" (2024, 8 citations), provides a comprehensive taxonomy of vision-based hand pose estimation methods, establishing a foundational reference for researchers working on gesture recognition and immersive interfaces. Building on this, Lee’s recent contribution, "Human-in-the-Loop Gaussian Splatting for Robotic Teleoperation" (2025, 3 citations), introduces a novel approach that replaces conventional camera feeds with a third-person 3D view generated through Gaussian splatting. This innovation directly addresses a critical limitation in teleoperation—the tunnel-vision perspective and weak depth cues of standard live streams—by revealing collision clearances and task-critical geometry in full detail, thereby enhancing both safety and precision. Though early in their career, Lee’s work demonstrates a clear trajectory toward creating more intuitive and spatially aware human-machine systems, with potential applications in remote surgery, hazardous environment manipulation, and assistive robotics.