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Dayoung Chun
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 8
Top Topics
Object Detectors
Regularization Framework
Autonomous Driving
Object Class
Top Venues
AICAS
IEEE Access
CoRR
ICEIC
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Publications
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Dayoung Chun
,
Seungil Lee
,
Hyun Kim
USD: Uncertainty-Based One-Phase Learning to Enhance Pseudo-Label Reliability for Semi-Supervised Object Detection.
IEEE Trans. Multim.
26 (2024)
Dayoung Chun
,
Hyuk-Jae Lee
,
Hyun Kim
PF-Training: Parameter Freezing for Efficient On-Device Training of CNN-based Object Detectors in Low-Resource Environments.
AICAS
(2024)
Seungil Lee
,
Hyun Kim
,
Dayoung Chun
UCR-SSL: Uncertainty-Based Consistency Regularization for Semi-Supervised Learning.
ICEIC
(2023)
Dayoung Chun
,
Jiwoong Choi
,
Hyuk-Jae Lee
,
Hyun Kim
CP-CNN: Computational Parallelization of CNN-Based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving.
IEEE Access
11 (2023)
Jeongjun Lee
,
Jihoon Jang
,
Jinhong Lee
,
Dayoung Chun
,
Hyun Kim
CNN-Based Mask-Pose Fusion for Detecting Specific Persons on Heterogeneous Embedded Systems.
IEEE Access
9 (2021)
Jiwoong Choi
,
Dayoung Chun
,
Hyuk-Jae Lee
,
Hyun Kim
Uncertainty-based Object Detector for Autonomous Driving Embedded Platforms.
AICAS
(2020)
Jiwoong Choi
,
Dayoung Chun
,
Hyun Kim
,
Hyuk-Jae Lee
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving.
ICCV
(2019)
Jiwoong Choi
,
Dayoung Chun
,
Hyun Kim
,
Hyuk-Jae Lee
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving.
CoRR
(2019)