1 citations · 1 across the 5 of their papers we have counts for
5 papers
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation
Jaeyeul Kim, Jungwan Woo, Ukcheol Shin +2
Understanding the motion states of the surrounding environment is critical for safe autonomous driving. These motion states can be accurately derived from scene flow, which capture…
Learning to Control Camera Exposure via Reinforcement Learning
Kyunghyun Lee, Ukcheol Shin, Byeong-Uk Lee
Adjusting camera exposure in arbitrary lighting conditions is the first step to ensure the functionality of computer vision applications. Poorly adjusted camera exposure often lead…
Stable Surface Regularization for Fast Few-Shot NeRF
Byeongin Joung, Byeong-Uk Lee, Jaesung Choe +5
This paper proposes an algorithm for synthesizing novel views under few-shot setup. The main concept is to develop a stable surface regularization technique called Annealing Signed…
Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking
Mincheol Kim, Ukcheol Shin, Jung-Yup Kim
Quadrupedal robots have played a crucial role in various environments, from structured environments to complex harsh terrains, thanks to their agile locomotion ability. However, th…
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning
Ukcheol Shin, Kyunghyun Lee, In So Kweon
In this paper, we propose a multi-objective camera ISP framework that utilizes Deep Reinforcement Learning (DRL) and camera ISP toolbox that consist of network-based and convention…