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ORCIDTae Hyun Kim 0006
Person information
- affiliation: Hanyang University, Seoul, Korea
- affiliation (PhD 2016): Seoul National University, Department of Electrical Engineering and Computer Science, South Korea
Other persons with the same name
- Tae-Hyun Kim (aka: Tae Hyun Kim) — disambiguation page
- Tae Hyun Kim 0001 — University of Illinois at Urbana-Champaign
- Tae Hyun Kim 0002 — Korea Advanced Institute of Science & Technology
- Tae Hyun Kim 0003 — Korea University
- Tae Hyun Kim 0004 — Auburn University
- Tae Hyun Kim 0005 — Sungkyunkwan University School of Medicine, Seoul
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Journal Articles
- 2022
[j5]Myungsub Choi
, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Test-Time Adaptation for Video Frame Interpolation via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9615-9628 (2022)- 2021
- [j4]Jonathan Samuel Lumentut, Matthew Marchellus, Joshua Santoso, Tae Hyun Kim, Ju Yong Chang, In Kyu Park:
Universal Framework for Joint Image Restoration and 3D Body Reconstruction. IEEE Access 9: 162543-162552 (2021) - [j3]Junwon Bae, Sangjoon Yu, Jaehoon Oh, Tae Hyun Kim, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Chiwon Ahn, Dong Keon Lee:
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray. J. Digit. Imaging 34(5): 1099-1109 (2021) - 2019
- [j2]Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park:
Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring. IEEE Signal Process. Lett. 26(12): 1788-1792 (2019) - 2018
- [j1]Tae Hyun Kim, Seungjun Nah, Kyoung Mu Lee:
Dynamic Video Deblurring Using a Locally Adaptive Blur Model. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2374-2387 (2018)
Conference and Workshop Papers
- 2023
- [c21]Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim:
Deep Variational Bayesian Modeling of Haze Degradation Process. CIKM 2023: 895-904 - [c20]Dajin Han, Tae Hyun Kim:
One-Shot Face Reenactment with 2D Facial Landmark Conditional Normalizing Flow. ICEIC 2023: 1-4 - [c19]Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim:
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer. ICCV 2023: 12903-12912 - [c18]Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim:
Task Agnostic Restoration of Natural Video Dynamics. ICCV 2023: 13488-13498 - [c17]Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim:
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows. ICML 2023: 27188-27203 - [c16]Daehyun Kim, Sungyong Baik, Tae Hyun Kim:
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection. NeurIPS 2023 - [c15]Chaerin Min, Tae Hyun Kim, Jongwoo Lim:
Meta-Learning for Adaptation of Deep Optical Flow Networks. WACV 2023: 2144-2153 - [c14]Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim:
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution. WACV 2023: 4945-4954 - 2022
- [c13]Seunghwan Lee, Tae Hyun Kim:
NoiseTransfer: Image Noise Generation with Contrastive Embeddings. ACCV (3) 2022: 323-339 - [c12]Seobin Park, Tae Hyun Kim:
Progressive Image Super-Resolution via Neural Differential Equation. ICASSP 2022: 1521-1525 - 2021
- [c11]Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim:
Deep Motion Blind Video Stabilization. BMVC 2021: 29 - [c10]Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Restore From Restored: Video Restoration With Pseudo Clean Video. CVPR 2021: 3537-3546 - 2020
- [c9]Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Scene-Adaptive Video Frame Interpolation via Meta-Learning. CVPR 2020: 9441-9450 - [c8]Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Fast Adaptation to Super-Resolution Networks via Meta-learning. ECCV (27) 2020: 754-769 - 2018
- [c7]Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf:
Spatio-Temporal Transformer Network for Video Restoration. ECCV (3) 2018: 111-127 - 2017
- [c6]Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee:
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring. CVPR 2017: 257-265 - [c5]Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf, Michael Hirsch:
Online Video Deblurring via Dynamic Temporal Blending Network. ICCV 2017: 4058-4067 - 2015
- [c4]Tae Hyun Kim, Kyoung Mu Lee:
Generalized video deblurring for dynamic scenes. CVPR 2015: 5426-5434 - 2014
- [c3]Tae Hyun Kim, Kyoung Mu Lee:
Segmentation-Free Dynamic Scene Deblurring. CVPR 2014: 2766-2773 - 2013
- [c2]Tae Hyun Kim, Byeongjoo Ahn, Kyoung Mu Lee:
Dynamic Scene Deblurring. ICCV 2013: 3160-3167 - [c1]Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee:
Optical Flow via Locally Adaptive Fusion of Complementary Data Costs. ICCV 2013: 3344-3351
Informal and Other Publications
- 2024
- [i18]Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim:
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization. CoRR abs/2403.03662 (2024) - 2023
- [i17]Seunghwan Lee, Tae Hyun Kim:
NoiseTransfer: Image Noise Generation with Contrastive Embeddings. CoRR abs/2301.13554 (2023) - 2022
- [i16]Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim:
Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution. CoRR abs/2203.07682 (2022) - [i15]Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim:
Learning Task Agnostic Temporal Consistency Correction. CoRR abs/2206.03753 (2022) - 2021
- [i14]Seobin Park, Tae Hyun Kim:
Image Restoration by Solving IVP. CoRR abs/2101.08987 (2021) - [i13]Jinsu Yoo, Tae Hyun Kim:
Self-Supervised Adaptation for Video Super-Resolution. CoRR abs/2103.10081 (2021) - 2020
- [i12]Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Self-Supervised Fast Adaptation for Denoising via Meta-Learning. CoRR abs/2001.02899 (2020) - [i11]Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Fast Adaptation to Super-Resolution Networks via Meta-Learning. CoRR abs/2001.02905 (2020) - [i10]Seunghwan Lee, Seobin Park, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Restore from Restored: Video Restoration with Pseudo Clean Video. CoRR abs/2003.04279 (2020) - [i9]Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Restore from Restored: Single Image Denoising with Pseudo Clean Image. CoRR abs/2003.04721 (2020) - [i8]Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Scene-Adaptive Video Frame Interpolation via Meta-Learning. CoRR abs/2004.00779 (2020) - [i7]Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim:
Learning Deep Video Stabilization without Optical Flow. CoRR abs/2011.09697 (2020) - 2019
- [i6]Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park:
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network. CoRR abs/1904.00352 (2019) - 2017
- [i5]Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf, Michael Hirsch:
Online Video Deblurring via Dynamic Temporal Blending Network. CoRR abs/1704.03285 (2017) - 2016
- [i4]Tae Hyun Kim, Seungjun Nah, Kyoung Mu Lee:
Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model. CoRR abs/1603.04265 (2016) - [i3]Byeongjoo Ahn, Tae Hyun Kim, Wonsik Kim, Kyoung Mu Lee:
Occlusion-Aware Video Deblurring with a New Layered Blur Model. CoRR abs/1611.09572 (2016) - [i2]Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee:
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring. CoRR abs/1612.02177 (2016) - 2015
- [i1]Tae Hyun Kim, Kyoung Mu Lee:
Generalized Video Deblurring for Dynamic Scenes. CoRR abs/1507.02438 (2015)
Coauthor Index
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