Gabyong Park

Ph.D ,

NAVER Cloud

E-mail: baeckgoo@gmail.com

Research Interests

My research interests lie in pose estimation of fast-moving hands for interaction with virtual objects in AR/VR environments.
Previously, I have explored this problem through the following approaches:

A hybrid method combining classification and model-based tracking
Sensor fusion using a depth camera and a gyroscope
Domain transfer learning from depth to infrared (IR) data

These works were presented at ISMAR and IEEE VR conferences.
Currently, I am interested in the following topics:

3D hand mesh recovery from a single RGB image under motion blur
Human mesh reconstruction from a single RGB image
3D face mesh recovery from a single RGB image

Main works:

3D Hand Pose Estimation with a Single Infrared Camera via Domain Transfer Learning

Gabyong Park, Tae-Kyun Kim, Woontack Woo

ISMAR 2020 (best paper nominee, 8 papers out of 302 submissions) [paper][code]

Bare-hand Depth Inpainting for 3D Tracking of Hand Interacting with Object

Woojin Cho, Gabyong Park, Woontack Woo

ISMAR 2020 [paper]

3D Hand Tracking in the Presence of Excessive Motion Blur

Gabyong Park, Antonis Argyros, Juyoung Lee, Woontack Woo

TVCG 2020 (also presented in VR 2020) [paper] [dataset]

Hybrid 3D Hand Articulations Tracking Guided by Classification and Search Space Adaptation

Gabyong Park, Woontack Woo

ISMAR 2018 [paper]

Efficient 3D Hand Tracking in Articulation Subspaces for the Manipulation of Virtual Objects

Gabyong Park, Antonis Argyros, Woontack Woo

CGI 2016 [paper]

Hand Tracking with a Near-Range Depth Camera for Virtual Object Manipulation in an Wearable Augmented Reality

Gabyong Park, Taejin Ha, Woontack Woo

HCII 2014 [paper]

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