Kyungwon Cho

I am 1st year PhD student at Seoul National University (SNU), advised by Prof. Hanbyul Joo. I'm interested in computer vision, especially egocentric vision, human motion and world models.

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OmniRobotHome is a multi-camera home platform with 48 hardware-synchronized cameras and three manipulators that provides real-time markerless full-body human pose, 6D object pose, and anticipatory motion forecasting for safe and assistive human-robot interaction.

DeVI is a physics-based framework that imitates text-conditioned synthetic videos to learn dexterous human-object interaction, using a hybrid 3D-human and 2D-object tracking reward to achieve physically realistic, zero-shot generalizable manipulation.

OmniEgoCap is a sequence-level diffusion framework that leverages long-range physical invariants and geometry-aware augmentation to reconstruct consistent 3D full-body motion across diverse egocentric camera setups.