Tae Hyun Kim - RankMe

51 papers A* 17A 4Misc 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs. ICLR Donggoo Jung, Daehyun Kim, Tae Hyun Kim
2025	A*	`conf`	Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction. CVPR Donggoo Jung, Daehyun Kim, Guanghui Wang, Tae Hyun Kim
2024	J	`jnl`	Deep Variational Bayesian Modeling of Haze Degradation Process. CoRR Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim
2024	A*	`conf`	Harnessing Meta-Learning for Improving Full-Frame Video Stabilization. CVPR Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim
2024	J	`jnl`	Harnessing Meta-Learning for Improving Full-Frame Video Stabilization. CoRR Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim
2024	A*	`conf`	LAN: Learning to Adapt Noise for Image Denoising. CVPR Changjin Kim, Tae Hyun Kim, Sungyong Baik
2024	J	`jnl`	Looking beyond input frames: Self-supervised adaptation for video super-resolution. Pattern Recognit. Jinsu Yoo, Jihoon Nam, Sungyong Baik, Tae Hyun Kim
2024	A*	`conf`	sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows. ICLR Dongjin Kim, Donggoo Jung, Sungyong Baik, Tae Hyun Kim
2023	A	`conf`	Deep Variational Bayesian Modeling of Haze Degradation Process. CIKM Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim
2023	A	`conf`	Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution. WACV Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim
2023	A*	`conf`	Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows. ICML Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim
2023	A	`conf`	Meta-Learning for Adaptation of Deep Optical Flow Networks. WACV Chaerin Min, Tae Hyun Kim, Jongwoo Lim
2023	J	`jnl`	NoiseTransfer: Image Noise Generation with Contrastive Embeddings. CoRR Seunghwan Lee, Tae Hyun Kim
2023	—	`conf`	One-Shot Face Reenactment with 2D Facial Landmark Conditional Normalizing Flow. ICEIC Dajin Han, Tae Hyun Kim
2023	A*	`conf`	SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection. NeurIPS Daehyun Kim, Sungyong Baik, Tae Hyun Kim
2023	A*	`conf`	Semantic-Aware Dynamic Parameter for Video Inpainting Transformer. ICCV Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim
2023	A*	`conf`	Task Agnostic Restoration of Natural Video Dynamics. ICCV Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim
2022	J	`jnl`	Learning Task Agnostic Temporal Consistency Correction. CoRR Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim
2022	—	`conf`	NoiseTransfer: Image Noise Generation with Contrastive Embeddings. ACCV (3) Seunghwan Lee, Tae Hyun Kim
2022	Misc	`conf`	Progressive Image Super-Resolution via Neural Differential Equation. ICASSP Seobin Park, Tae Hyun Kim
2022	J	`jnl`	Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution. CoRR Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim
2022	J	`jnl`	Test-Time Adaptation for Video Frame Interpolation via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee
2021	A	`conf`	Deep Motion Blind Video Stabilization. BMVC Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim
2021	J	`jnl`	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 Junwon Bae, Sangjoon Yu, Jaehoon Oh, Tae Hyun Kim, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Chiwon Ahn, Dong Keon Lee
2021	J	`jnl`	Image Restoration by Solving IVP. CoRR Seobin Park, Tae Hyun Kim
2021	A*	`conf`	Restore From Restored: Video Restoration With Pseudo Clean Video. CVPR Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2021	J	`jnl`	Self-Supervised Adaptation for Video Super-Resolution. CoRR Jinsu Yoo, Tae Hyun Kim
2021	J	`jnl`	Universal Framework for Joint Image Restoration and 3D Body Reconstruction. IEEE Access Jonathan Samuel Lumentut, Matthew Marchellus, Joshua Santoso, Tae Hyun Kim, Ju Yong Chang, In Kyu Park
2020	J	`jnl`	Fast Adaptation to Super-Resolution Networks via Meta-Learning. CoRR Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2020	—	`conf`	Fast Adaptation to Super-Resolution Networks via Meta-learning. ECCV (27) Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2020	J	`jnl`	Learning Deep Video Stabilization without Optical Flow. CoRR Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim
2020	J	`jnl`	Restore from Restored: Single Image Denoising with Pseudo Clean Image. CoRR Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2020	J	`jnl`	Restore from Restored: Video Restoration with Pseudo Clean Video. CoRR Seunghwan Lee, Seobin Park, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2020	A*	`conf`	Scene-Adaptive Video Frame Interpolation via Meta-Learning. CVPR Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee
2020	J	`jnl`	Scene-Adaptive Video Frame Interpolation via Meta-Learning. CoRR Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee
2020	J	`jnl`	Self-Supervised Fast Adaptation for Denoising via Meta-Learning. CoRR Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2019	J	`jnl`	Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring. IEEE Signal Process. Lett. Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park
2019	J	`jnl`	Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network. CoRR Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park
2018	J	`jnl`	Dynamic Video Deblurring Using a Locally Adaptive Blur Model. IEEE Trans. Pattern Anal. Mach. Intell. Tae Hyun Kim, Seungjun Nah, Kyoung Mu Lee
2018	—	`conf`	Spatio-Temporal Transformer Network for Video Restoration. ECCV (3) Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf
2017	A*	`conf`	Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring. CVPR Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
2017	A*	`conf`	Online Video Deblurring via Dynamic Temporal Blending Network. ICCV Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf, Michael Hirsch
2017	J	`jnl`	Online Video Deblurring via Dynamic Temporal Blending Network. CoRR Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf, Michael Hirsch
2016	J	`jnl`	Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring. CoRR Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
2016	J	`jnl`	Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model. CoRR Tae Hyun Kim, Seungjun Nah, Kyoung Mu Lee
2016	J	`jnl`	Occlusion-Aware Video Deblurring with a New Layered Blur Model. CoRR Byeongjoo Ahn, Tae Hyun Kim, Wonsik Kim, Kyoung Mu Lee
2015	J	`jnl`	Generalized Video Deblurring for Dynamic Scenes. CoRR Tae Hyun Kim, Kyoung Mu Lee
2015	A*	`conf`	Generalized video deblurring for dynamic scenes. CVPR Tae Hyun Kim, Kyoung Mu Lee
2014	A*	`conf`	Segmentation-Free Dynamic Scene Deblurring. CVPR Tae Hyun Kim, Kyoung Mu Lee
2013	A*	`conf`	Dynamic Scene Deblurring. ICCV Tae Hyun Kim, Byeongjoo Ahn, Kyoung Mu Lee
2013	A*	`conf`	Optical Flow via Locally Adaptive Fusion of Complementary Data Costs. ICCV Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee