Seokha Moon
M.S./Ph.D Integrated Student at the Korea University (Vision & AI Lab)
shmoon96@korea.ac.kr
About Me
I am a M.S./Ph.D Integrated Student under the advisement of Prof. Jinkyu Kim since 2022. Prior to joining Vision & AI lab in Korea University, I obtained a bachelor’s degree in Computer Science at Yonsei University. I am interested in the field of Computer Vision, with a focus on autonomous robots and autonomous driving. Currently, I am focused on 3D object detection using surround-view images, trajectory prediction, and advancements in robotics.
Education
Korea University
M.S./Ph.D in Computer Science and Engineering (advisor: Jinkyu Kim)
Yonsei University
B.S. in Computer Science
Sep. 2022 - Present
Mar.2016 - Aug. 2022
Work Experience
42dot.
Interim Engineering Intern (Motion prediction engineer)
Samsung Electronics
Long Term Intern (Face Detection Project)
Aug. 2022 - Dec. 2022
Mar. 2021 - Jun. 2021
Publications
Who Should Have Been Focused: Transferring Attention-based Knowledge from Future Observations for Trajectory Prediction (ICPR, 2024)
Seokha Moon, Kyuhwan Yeon, Hayoung Kim, Seong-Gyun Jeong, Jinkyu Kim
paper
Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection (ICRA, 2024)
Seokha Moon, Hongbeen Park, Jaekoo Lee, Jinkyu Kim
BEVMap: Map-Aware BEV Modeling for 3D Perception
(WACV, 2024)
Mincheol Chang, Seokha Moon, Reza Mahjourian, Jinkyu Kim
RUFI: Reducing Uncertainty in behavior prediction with Future Information
(CVPRW, 2023)
Seokha Moon, Sejeong Lee, Hyun Woo, Kyuhwan Yeon, Hayoung Kim, Seong-Gyun Jeong, Jinkyu Kim
ORA3D: Overlap Region Aware Multi-view 3D Object Detection
(BMVC, 2022)
Wonseok Roh, Gyusam Chang, Seokha Moon, Giljoo Nam, Chanyoung Kim, Younghyun Kim, Jinkyu Kim, Sangpil Kim
Honors & Awards
First Prize of Computer Science, Yonsei University
HUAWEI scholarship
Aug. 2021
Nov. 2020