I am a postdoctoral researcher at Robotics Institute, CMU. I obtained my Ph.D. and M.S. at KAIST, advised by Professor In So Kweon. I am a recipient of the Best Student Paper Award from WACV 2023.
My research focuses on developing a robust robot vision system that can perceive and navigate the dynamic world in challenging conditions, with a specific interest in self-supervised learning of 3D geometry and multi-sensor fusion. I am interested in the following areas, but also open to other explorable/challenging domains.
shinwc159 [at] gmail.com
ushin [at] andrew.cmu.edu
Robotics Institute, 1723 Murray Ave, Pittsburgh, PA 15217
Ph.D. in Electrical Engineering, KAIST, 2023
Dissertation: "Self-supervised 3D Geometric Perception in Adverse Real-world Environment"
Advisor: Prof. In So Kweon
M.S. in Electrical Engineering, KAIST, 2019
Thesis: "Noise-Aware Camera Exposure Control for Robust Robot Vision"
Advisor: Prof. In So Kweon
BS in Electrical and Information Engineering, SNUST, 2017
Project: "Real-Time Ethernet Protocol based Omni Directional Mobile Robot"
Advisor: Prof. Byoung Wook Choi
Stable Surface Regularization for Fast Few-Shot NeRF
International Conference on 3D Vision (3DV), 2024
[ paper ]
Deep Depth Estimation from Thermal Image
Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2023
[ paper / benchmark / MS2 dataset / Github ]
Vehicular multi-camera sensor system for automated visual inspection of electric power distribution equipment
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 Oral
[ paper ]
Performance evaluation of real-time mechanisms on open embedded hardware platforms
Journal of Institute of Control, Robotics and Systems, 2017
[ paper ]
Development and control of an omnidirectional mobile robot on an ethercat network
International Journal of Applied Engineering Research, 2016
[ paper ]