Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image. - Youngseok Kim 001; Dongsuk Kum (IV, 2019)

Low-Level Sensor Fusion for 3D Vehicle Detection Using Radar Range-Azimuth Heatmap and Monocular Image. - Jinhyeong Kim; Youngseok Kim 001; Dongsuk Kum (ACCV (3), 2020)

GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image. - Youngseok Kim 001; Junwon Choi; Dongsuk Kum (IROS, 2020)

Sequential Image-based 3D Object Detection with Location Refinement. - Sangmin Sim; Youngseok Kim 001; Dongsuk Kum (ICPR, 2022)

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. - Youngseok Kim 001; Sanmin Kim; Jun Won Choi; Dongsuk Kum (AAAI, 2023)

Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images. - Sanmin Kim; Youngseok Kim 001; In-Jae Lee; Dongsuk Kum (ICCV, 2023)

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. - Youngseok Kim 001; Juyeb Shin; Sanmin Kim; In-Jae Lee; Jun Won Choi; Dongsuk Kum (ICCV, 2023)

Joint Semi-Supervised and Active Learning via 3D Consistency for 3D Object Detection. - Sihwan Hwang; Sanmin Kim; Youngseok Kim 001; Dongsuk Kum (ICRA, 2023)

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. - Youngseok Kim 001; Sanmin Kim; Juyeb Shin; Jun Won Choi; Dongsuk Kum (CoRR, 2023)

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision. - Youngseok Kim 001; Sanmin Kim; Sangmin Sim; Jun Won Choi; Dongsuk Kum (IEEE Trans. Intell. Transp. Syst., 2023)

LabelDistill: Label-Guided Cross-Modal Knowledge Distillation for Camera-Based 3D Object Detection. - Sanmin Kim; Youngseok Kim 001; Sihwan Hwang; Hyeonjun Jeong; Dongsuk Kum (ECCV (56), 2024)