Jae-Hyeok Lee

16 papers A* 2B 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Adaptive Cross-Attention Gated Network for Radar-Camera Fusion in BEV Space.
ICACT
Ji-Yong Lee, Jae-Hyeok Lee, Dong-oh Kang
2025 A* conf
Focus Where It Matters: LLM-Guided Regional Identification for Instruction-based Image Editing.
ACM Multimedia
Minho Park, Youngjoo Jo, Jae-Hyeok Lee, JiYong Lee, Dong-oh Kang, Yong Man Ro
2025 J jnl
Generality-aware self-supervised transformer for multivariate time series anomaly detection.
Appl. Intell.
Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim
2024 J jnl
Difficulty level-based knowledge distillation.
Neurocomputing
Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim
2023 J jnl
Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network.
Pattern Recognit.
Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim
2023 J jnl
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer.
CoRR
Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim
2023 A* conf
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization.
ICCV
Jae-Hyeok Lee, Dae-Shik Kim
2022 J jnl
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning.
Adv. Intell. Syst.
Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, Joon-Kyu Han, Jin-Ki Kim, Donggon Jang, Nahyun Kim, Moon-Seok Kim, Sung Gap Im, Dae-Shik Kim, Yang-Kyu Choi
2022 J jnl
P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning.
IEEE Access
Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim
2020 J jnl
MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network.
IEEE Trans. Geosci. Remote. Sens.
Jae-Hyeok Lee, Sangmin S. Lee, Hak Gu Kim, Sa-Kwang Song, Seongchan Kim, Yong Man Ro
2019 B conf
Probenet: Probing Deep Networks.
ICIP
Jae-Hyeok Lee, Seong Tae Kim, Yong Man Ro
2019 — conf
Realistic Breast Mass Generation Through BIRADS Category.
MICCAI (6)
Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
2019 — conf
Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis.
Computer-Aided Diagnosis
Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
2018 — conf
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation.
ECCV Workshops (6)
Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
2018 J jnl
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation.
CoRR
Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
2018 J jnl
OPT: optimal human visual system-aware and power-saving color transformation for mobile AMOLED displays.
Multim. Tools Appl.
Jeong-Chan Jin, Jae-Hyeok Lee, Eun-Sil Kim, Young-Jin Kim