Jae-Hyeok Lee

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Supervised Learning

Digital Mammography

Top Venues

Pattern Recognit.

Medical Imaging: Computer-Aided Diagnosis

Publications

Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. CoRR (2023)
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 (2023)
Jae-Hyeok Lee, Dae-Shik Kim
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. ICCV (2023)
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)
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 (2022)
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) (2020)
Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis. Medical Imaging: Computer-Aided Diagnosis (2019)
Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
Realistic Breast Mass Generation Through BIRADS Category. MICCAI (6) (2019)
Jae-Hyeok Lee, Seong Tae Kim, Yong Man Ro
Probenet: Probing Deep Networks. ICIP (2019)
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) (2018)
Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. CoRR (2018)
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)