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Jae-Hyeok Lee 0001

Jae Hyeok Lee 0001

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affiliation: ETRI, Visual Intelligent Lab, Daejeon, Daejeon, Korea
affiliation (PhD 2024): Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea

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2020 – today

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2025
[j7]
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Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim:
Generality-aware self-supervised transformer for multivariate time series anomaly detection. Appl. Intell. 55(7): 604 (2025)
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Ji-Yong Lee, Jae-Hyeok Lee, Dong-Oh Kang:
Adaptive Cross-Attention Gated Network for Radar-Camera Fusion in BEV Space. ICACT 2025: 279-284
[i3]
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Jae Hyeok Lee, Minjun Kim, Jinkyoo Park, Changhyun Kwon:
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration. CoRR abs/2504.15147 (2025)
2024
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Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim:
Difficulty level-based knowledge distillation. Neurocomputing 606: 128375 (2024)
[c6]
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Jae Hyeok Lee, Jae-Hyeon Park, Dong Eui Chang:
FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate. ICRA 2024: 16222-16228
2023
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Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim:
Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network. Pattern Recognit. 140: 109541 (2023)
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Jae-Hyeok Lee, Dae-Shik Kim:
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. ICCV 2023: 3468-3478
[i2]
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  - journals/corr/abs-2311-14307
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Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim:
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. CoRR abs/2311.14307 (2023)
2022
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Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim:
P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning. IEEE Access 10: 115652-115662 (2022)
[j3]
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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:
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning. Adv. Intell. Syst. 4(6) (2022)
2020
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Jae-Hyeok Lee, Sangmin S. Lee, Hak Gu Kim, Sa-Kwang Song, Seongchan Kim, Yong Man Ro:
MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network. IEEE Trans. Geosci. Remote. Sens. 58(3): 2212-2224 (2020)

2010 – 2019

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2019
[c4]
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Jae-Hyeok Lee, Seong Tae Kim, Yong Man Ro:
Probenet: Probing Deep Networks. ICIP 2019: 3821-3825
[c3]
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Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro:
Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis. Computer-Aided Diagnosis 2019: 109500K
[c2]
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Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro:
Realistic Breast Mass Generation Through BIRADS Category. MICCAI (6) 2019: 703-711
2018
[j1]
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Jeong-Chan Jin, Jae-Hyeok Lee, Eun-Sil Kim, Young-Jin Kim:
OPT: optimal human visual system-aware and power-saving color transformation for mobile AMOLED displays. Multim. Tools Appl. 77(13): 16699-16720 (2018)
[c1]
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Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro:
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. ECCV Workshops (6) 2018: 326-334
[i1]
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Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro:
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. CoRR abs/1809.06147 (2018)

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