Yecheol Kim

Ph.D candidate, Hanyang University

yckim [AT] spa.hanyang.ac.kr

Bio

I am a Ph.D. candidate in the Signal Processing and Artificial Intelligence Lab, advised by Junwon Choi, at Hanyang University. I graduated with a Bachelor's degree in Electrical Engineering from Hanyang University.

My research interests lie in 3D object detection in autonomous driving environments, and I have conducted studies across sensor-fusion, temporal, and domain adaptation. Additionally, I completed an internship with the autonomous driving development team at Kakao Mobility.

Publications

Most recent publications on Google Scholar.
‡ indicates equal contribution.

Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection

Yecheol Kim‡, Junho Lee‡, Changsoo Park, Hyoungwon Kim, Inho Lim, Christopher Chang, and Jun Won Choi

T-IV'2024: IEEE Transactions on Intelligent Vehicles, 2024, (Impact Factor: 8.2)

Paper Code

Fine-Grained Pillar Feature Encoding via Spatio-Temporal Virtual Grid for 3D Object Detection

Konyul Park‡, Yecheol Kim‡, Junho Koh, Byungwoo Park and Jun Won Choi

ICRA'2024: IEEE International Conference on Robotics and Automation, 2024.

Paper Code

3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

Ranked 5th place on nuScenes 3D Detection leaderboard of December 2022 among single model without TTA

Yecheol Kim, Konyul Park, Minwook Kim, Dongsuk Kum, and Jun Won Choi

Arxiv'2022

Paper Code

Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds

Junho Koh‡, Jaekyum Kim‡, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi

AAAI'2022: Association for the Advancement of Artificial Intelligence, 2022.

Paper

3D-CVF: Generating joint camera and LiDAR features using cross-view spatial feature mapping for 3D object detection

Ranked 4th place on KITTI 3D car detection leaderboard of March 2020

Jin Hyeok Yoo‡, Yecheol Kim‡, Jisong Kim, Jun Won Choi

ECCV'2020: European Conference on Computer Vision, 2020.

Paper Code

Enhanced object detection in bird’s eye view using 3D global context inferred from Lidar point data

Yecheol Kim, Jaekyum Kim, Junho Koh, Jun Won Choi

IV'19: IEEE Intelligent Vehicles Symposium, 2019.

Paper

Robust Deep Multi-modal Learning Based on Gated Information Fusion Network

Jaekyum Kim, Junho Koh, Yecheol Kim, Jaehyung Choi, Youngbae Hwang, Jun Won Choi

ACCV'18: Asian Conference on Computer Vision, 2018.

Paper

Robust camera lidar sensor fusion via deep gated fusion network

Jaekyum Kim, Jaehyung Choi, Yecheol Kim, Junho Koh, Jun Won Choi

IV'18: IEEE Intelligent Vehicles Symposium, 2018.

Paper

Vitæ

Full Resume in PDF.

Yecheol Kim
yckim [AT] spa.hanyang.ac.kr