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Lee, Janghyeon
10 publications
ICLR
2026
Understanding the Learning Phases in Self-Supervised Learning via Critical Periods
JangHyeon Lee
,
Philipe Ambrozio Dias
,
Yao-Yi Chiang
,
Dalton Lunga
ICCV
2025
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
Yooshin Cho
,
Hanbyel Cho
,
Janghyeon Lee
,
HyeongGwon Hong
,
Jaesung Ahn
,
Junmo Kim
ICCV
2023
Disposable Transfer Learning for Selective Source Task Unlearning
Seunghee Koh
,
Hyounguk Shon
,
Janghyeon Lee
,
Hyeong Gwon Hong
,
Junmo Kim
ECCV
2022
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
Hyounguk Shon
,
Janghyeon Lee
,
Seung Hwan Kim
,
Junmo Kim
ECCV
2022
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
Juseung Yun
,
Janghyeon Lee
,
Hyounguk Shon
,
Eojindl Yi
,
Seung Hwan Kim
,
Junmo Kim
WACV
2022
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
Beomyoung Kim
,
Janghyeon Lee
,
Sihaeng Lee
,
Doyeon Kim
,
Junmo Kim
NeurIPS
2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-Training
Janghyeon Lee
,
Jongsuk Kim
,
Hyounguk Shon
,
Bumsoo Kim
,
Seung Hwan Kim
,
Honglak Lee
,
Junmo Kim
AAAI
2021
Patch-Wise Attention Network for Monocular Depth Estimation
Sihaeng Lee
,
Janghyeon Lee
,
Byungju Kim
,
Eojindl Yi
,
Junmo Kim
CVPR
2020
Continual Learning with Extended Kronecker-Factored Approximate Curvature
Janghyeon Lee
,
Hyeong Gwon Hong
,
Donggyu Joo
,
Junmo Kim
AAAI
2020
Residual Continual Learning
Janghyeon Lee
,
Donggyu Joo
,
Hyeong Gwon Hong
,
Junmo Kim