Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving. - Jiwoong Choi; Dayoung Chun; Hyun Kim 001; Hyuk-Jae Lee (ICCV, 2019)

Uncertainty-based Object Detector for Autonomous Driving Embedded Platforms. - Jiwoong Choi; Dayoung Chun; Hyuk-Jae Lee; Hyun Kim 001 (AICAS, 2020)

CNN-Based Mask-Pose Fusion for Detecting Specific Persons on Heterogeneous Embedded Systems. - Jeongjun Lee; Jihoon Jang 001; Jinhong Lee; Dayoung Chun; Hyun Kim 001 (IEEE Access, 2021)

UCR-SSL: Uncertainty-Based Consistency Regularization for Semi-Supervised Learning. - Seungil Lee; Hyun Kim 001; Dayoung Chun (ICEIC, 2023)

CP-CNN: Computational Parallelization of CNN-Based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving. - Dayoung Chun; Jiwoong Choi; Hyuk-Jae Lee; Hyun Kim 001 (IEEE Access, 2023)

PF-Training: Parameter Freezing for Efficient On-Device Training of CNN-based Object Detectors in Low-Resource Environments. - Dayoung Chun; Hyuk-Jae Lee; Hyun Kim 001 (AICAS, 2024)

USD: Uncertainty-Based One-Phase Learning to Enhance Pseudo-Label Reliability for Semi-Supervised Object Detection. - Dayoung Chun; Seungil Lee; Hyun Kim 001 (IEEE Trans. Multim., 2024)