Jae-Hyeok Lee

According to our database, Jae-Hyeok Lee authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Generality-aware self-supervised transformer for multivariate time series anomaly detection.

Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim

Appl. Intell., May, 2025

The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration.

Jae Hyeok Lee, Minjun Kim, Jinkyoo Park, Changhyun Kwon

CoRR, April, 2025

Adaptive Cross-Attention Gated Network for Radar-Camera Fusion in BEV Space.

Ji-Yong Lee, Jae-Hyeok Lee, Dong-Oh Kang

Proceedings of the 27th International Conference on Advanced Communications Technology, 2025

2024

Difficulty level-based knowledge distillation.

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

Neurocomputing, 2024

FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate.

Jae Hyeok Lee, Jae-Hyeon Park, Dong Eui Chang

Proceedings of the IEEE International Conference on Robotics and Automation, 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