Tae Hyun Kim
Hanyang University
H-index: 14
Asia-South Korea
Top articles of Tae Hyun Kim
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization | Muhammad Kashif Ali Eun Woo Im Dongjin Kim Tae Hyun Kim | 2024/6 | |
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows | Dongjin Kim Donggoo Jung Sungyong Baik Tae Hyun Kim | 2024/5/7 | |
Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study | European Journal of Pediatrics | Seung Hyun Kim Yoon Ju Oh Joonhyuk Son Donggoo Jung Daehyun Kim | 2024/3/30 |
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows | Seobin Park* Dongjin Kim* Sungyong Baik Tae Hyun Kim | 2023/6/15 | |
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection | Advances in Neural Information Processing Systems (NeurIPS) | Daehyun Kim Sungyong Baik Tae Hyun Kim | 2023/11/2 |
Two-stage learning-based prediction of bronchopulmonary dysplasia in very low birth weight infants: a nationwide cohort study | Frontiers in Pediatrics | Jae Kyoon Hwang Dae Hyun Kim Jae Yoon Na Joonhyuk Son Yoon Ju Oh | 2023/6/13 |
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer | Eunhye Lee* Jinsu Yoo* Yunjeong Yang Sungyong Baik Tae Hyun Kim | 2023/10 | |
One-Shot Face Reenactment with 2D Facial Landmark Conditional Normalizing Flow | Dajin Han Tae Hyun Kim | 2023/2/5 | |
Task Agnostic Restoration of Natural Video Dynamics | Muhammad Kashif Ali Dongjin Kim Tae Hyun Kim | 2023 | |
Meta-Learning for Adaptation of Deep Optical Flow Networks | Chaerin Min Taehyun Kim Jongwoo Lim | 2023 | |
Deep Variational Bayesian Modeling of Haze Degradation Process | Eun Woo Im* Junsung Shin* Sungyong Baik Tae Hyun Kim | 2023/10 | |
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution | Jinsu Yoo Taehoon Kim Sihaeng Lee Seung Hwan Kim Honglak Lee | 2023 | |
Learning-Based Longitudinal Prediction Models for Mortality Risk in Very-Low-Birth-Weight Infants: A Nationwide Cohort Study | Neonatology | Jae Yoon Na Donggoo Jung Jong Ho Cha Daehyun Kim Joonhyuk Son | 2023/7 |
DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function | Bioinformatics | Jae-Won Lee Jong-Hyun Won Seonggwang Jeon Yujin Choo Yubin Yeon | 2023/12/1 |
Online Learning for Reference-Based Super-Resolution | Electronics | Byungjoo Chae Jinsun Park Tae-Hyun Kim Donghyeon Cho | 2022/3/28 |
Test-Time Adaptation for Video Frame Interpolation via Meta-Learning | IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) | Myungsub Choi Janghoon Choi Sungyong Baik Tae Hyun Kim Kyoung Mu Lee | 2021/11/23 |
NoiseTransfer: Image Noise Generation with Contrastive Embeddings | Seunghwan Lee Tae Hyun Kim | 2022 | |
Feasibility of the machine learning network to diagnose tympanic membrane lesions without coding experience | Journal of Personalized Medicine | Hayoung Byun Seung Hwan Lee Tae Hyun Kim Jaehoon Oh Jae Ho Chung | 2022/11/7 |
Position classification of the endotracheal tube with automatic segmentation of the trachea and the tube on plain chest radiography using deep convolutional neural network | Journal of Personalized Medicine | Heui Chul Jung Changjin Kim Jaehoon Oh Tae Hyun Kim Beomgyu Kim | 2022/8/24 |
Development of artificial neural networks for early prediction of intestinal perforation in preterm infants | Scientific Reports | Joonhyuk Son Daehyun Kim Jae Yoon Na Donggoo Jung Ja-Hye Ahn | 2022/7/15 |
Co-Authors
