Hyojoon Park hjoonpark.us{at}gmail.com   CV

Introduction

I am currently a Ph.D. student at the University of Wisconsin-Madison in Computer Sciences (Fall 2021-) I received M.S. in Mechanical Engineering from Seoul National University (advisor: Prof. Dongjun Lee) and B.S. in Mechanical Engineering from Korea University, in South Korea Prior to joining UW-Madison, I was a graduate research assistant at the University of Utah in School of Computing and an intern researcher at Korea Institute of Science and Technology (KIST) My research interest is physics-based simulations in computer graphics incorporating machine learning and computer vision

Publications

Capturing Detailed Deformations of Moving Human Bodies He Chen, Hyojoon Park, Kutay Macit, and Ladislav Kavan SIGGRAPH 2021 pdf | project page | multi-camera calibration codes Adaptive Precision-Enhancing Hand Rendering for Wearable Fingertip Tracking Devices Hyojoon Park and Jung-Min Park IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 pdf | short video Stretchable Skin‐Like Cooling/Heating Device for Reconstruction of Artificial Thermal Sensation in Virtual Reality Jnwoo Lee, Heayoun Sul, Wonha Lee, Kyung Rok Pyun, Inho Ha, Dongkwan Kim, Hyojoon Park, Hyeonjin Eom, Yeosang Yoon, Jinwook Jung, Dongjun Lee, and Seung Hwan Ko Advanced Functional Materials 2020 pdf Dental Simulator with Increased Z-width of Haptic Rendering Hyojoon Park, Myungsin Kim, and Dongjun Lee AsiaHaptics 2018 pdf | short video | long video* *Outstanding MS Thesis Presentation Award (Seoul National University 2019) Rigid-body Collaborative Manipulation among Remote Users with Wearable Cutaneous Haptic Interfaces Myungsin Kim, WonHa Lee, Hyojoon Park, Junghan Kwon, Yong-Lae Park, and Dongjun Lee AsiaHaptics 2018 pdf | video Design and Performance Evaluation of Wearable Haptic Interfaces WonHa Lee, Myungsin Kim, Hyojoon Park, and Dongjun Lee International Conference on Control, Automation and Systems 2018 Wearable Cutaneous Haptic Interface with Soft Sensors and IMUs Yongjun Lee, Myungsin Kim, Yongseok Lee, Hyojoon Park, and Dongjun Lee Korea Robotics Society Annual Conference 2018

Other work

Multi-Camera Calibration calibrates multiple cameras using a planar calibration checkerboard through four main steps: (1) detect checkerboard corners, (2) remove outlier corners from the previous step (VAE, variational auto-encoder), (3) estimate initial camera parameters and world points, (4) refine the initial estimates (bundle adjustment), optionally, (5) analyze the calibration result. project page