Jae-Hyeok Lee

According to our database, Jae-Hyeok Lee authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Difficulty level-based knowledge distillation.

Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim

Neurocomputing, 2024

2023

Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network.

Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim

Pattern Recognit., August, 2023

Cosine Similarity Knowledge Distillation for Individual Class Information Transfer.

Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim

CoRR, 2023

ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization.

Jae-Hyeok Lee, Dae-Shik Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning.

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

Adv. Intell. Syst., 2022

P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning.

Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim

IEEE Access, 2022

2020

MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network.

Jae-Hyeok Lee, Sangmin S. Lee, Hak Gu Kim, Sa-Kwang Song, Seongchan Kim, Yong Man Ro

IEEE Trans. Geosci. Remote. Sens., 2020

2019

Realistic Breast Mass Generation Through BIRADS Category.

Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis.

Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Probenet: Probing Deep Networks.

Jae-Hyeok Lee, Seong Tae Kim, Yong Man Ro

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

OPT: optimal human visual system-aware and power-saving color transformation for mobile AMOLED displays.

Jeong-Chan Jin, Jae-Hyeok Lee, Eun-Sil Kim, Young-Jin Kim

Multim. Tools Appl., 2018

Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation.

Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018