Tae Hyun Kim

According to our database, Tae Hyun Kim authored at least 41 papers between 2013 and 2024.

Collaborative distances:

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

2024

Looking beyond input frames: Self-supervised adaptation for video super-resolution.

Jinsu Yoo, Jihoon Nam, Sungyong Baik, Tae Hyun Kim

Pattern Recognit., 2024

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows.

Dongjin Kim, Donggoo Jung, Sungyong Baik, Tae Hyun Kim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LAN: Learning to Adapt Noise for Image Denoising.

Changjin Kim, Tae Hyun Kim, Sungyong Baik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Harnessing Meta-Learning for Improving Full-Frame Video Stabilization.

Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution.

Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim

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

Meta-Learning for Adaptation of Deep Optical Flow Networks.

Chaerin Min, Tae Hyun Kim, Jongwoo Lim

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

SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection.

Daehyun Kim, Sungyong Baik, Tae Hyun Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows.

Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim

Proceedings of the International Conference on Machine Learning, 2023

Semantic-Aware Dynamic Parameter for Video Inpainting Transformer.

Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim

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

Task Agnostic Restoration of Natural Video Dynamics.

Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim

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

One-Shot Face Reenactment with 2D Facial Landmark Conditional Normalizing Flow.

Dajin Han, Tae Hyun Kim

Proceedings of the International Conference on Electronics, Information, and Communication, 2023

Deep Variational Bayesian Modeling of Haze Degradation Process.

Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Test-Time Adaptation for Video Frame Interpolation via Meta-Learning.

Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Task Agnostic Temporal Consistency Correction.

Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim

CoRR, 2022

Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution.

Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim

CoRR, 2022

Progressive Image Super-Resolution via Neural Differential Equation.

Seobin Park, Tae Hyun Kim

Proceedings of the IEEE International Conference on Acoustics, 2022

NoiseTransfer: Image Noise Generation with Contrastive Embeddings.

Seunghwan Lee, Tae Hyun Kim

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray.

Junwon Bae, Sangjoon Yu, Jaehoon Oh, Tae Hyun Kim, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Chiwon Ahn, Dong Keon Lee

J. Digit. Imaging, 2021

Self-Supervised Adaptation for Video Super-Resolution.

Jinsu Yoo, Tae Hyun Kim

CoRR, 2021

Image Restoration by Solving IVP.

Seobin Park, Tae Hyun Kim

CoRR, 2021

Universal Framework for Joint Image Restoration and 3D Body Reconstruction.

Jonathan Samuel Lumentut, Matthew Marchellus, Joshua Santoso, Tae Hyun Kim, Ju Yong Chang, In Kyu Park

IEEE Access, 2021

Restore From Restored: Video Restoration With Pseudo Clean Video.

Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Motion Blind Video Stabilization.

Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning Deep Video Stabilization without Optical Flow.

Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim

CoRR, 2020

Restore from Restored: Single Image Denoising with Pseudo Clean Image.

Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim

CoRR, 2020

Restore from Restored: Video Restoration with Pseudo Clean Video.

Seunghwan Lee, Seobin Park, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim

CoRR, 2020

Self-Supervised Fast Adaptation for Denoising via Meta-Learning.

Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim

CoRR, 2020

Fast Adaptation to Super-Resolution Networks via Meta-learning.

Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim

Proceedings of the Computer Vision - ECCV 2020, 2020

Scene-Adaptive Video Frame Interpolation via Meta-Learning.

Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring.

Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park

IEEE Signal Process. Lett., 2019

Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network.

Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park

CoRR, 2019

2018

Dynamic Video Deblurring Using a Locally Adaptive Blur Model.

Tae Hyun Kim, Seungjun Nah, Kyoung Mu Lee

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Spatio-Temporal Transformer Network for Video Restoration.

Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Online Video Deblurring via Dynamic Temporal Blending Network.

Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf, Michael Hirsch

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring.

Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model.

Tae Hyun Kim, Seungjun Nah, Kyoung Mu Lee

CoRR, 2016

Occlusion-Aware Video Deblurring with a New Layered Blur Model.

Byeongjoo Ahn, Tae Hyun Kim, Wonsik Kim, Kyoung Mu Lee

CoRR, 2016

2015

Generalized video deblurring for dynamic scenes.

Tae Hyun Kim, Kyoung Mu Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Segmentation-Free Dynamic Scene Deblurring.

Tae Hyun Kim, Kyoung Mu Lee

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs.

Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee

Proceedings of the IEEE International Conference on Computer Vision, 2013

Dynamic Scene Deblurring.

Tae Hyun Kim, Byeongjoo Ahn, Kyoung Mu Lee

Proceedings of the IEEE International Conference on Computer Vision, 2013