Tae Hyun Kim
23 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (7) π Academic Marathon (12) πΊοΈ Taxonomy Completionist (31)
πΊοΈ
Taxonomy Completionist
(31)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
(2)
π¬
Deep Specialist
(10)
ποΈ
Keyword Collector
(83)
π
Conference Pioneer
π
Century Club
(22)
β‘
Prolific Year
(5)
Conferences
CVPR (8)
ICCV (7)
ECCV (2)
ICLR (2)
AAAI (1)
ICML (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
image restoration
(9)
convex optimization
(3)
video restoration
(3)
energy minimization
(3)
image deblurring
(3)
motion blur
(2)
motion estimation
(2)
neural network
(2)
dynamic scene
(2)
optical flow
(2)
convolutional neural network
(2)
image denoising
(2)
dynamic scene deblurring
(2)
test-time adaptation
(2)
kernel estimation
(2)
latent space
(2)
self-supervised learning
(1)
video synthesis
(1)
anomaly detection
(1)
video frame interpolation
(1)
Papers
Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution
AAAI 2026
Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs
ICLR 2025
Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction
CVPR 2025
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing
ICCV 2025
IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising
ICCV 2025
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
CVPR 2024
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
ICLR 2024
LAN: Learning to Adapt Noise for Image Denoising
CVPR 2024
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection
NIPS 2023
Task Agnostic Restoration of Natural Video Dynamics
ICCV 2023
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer
ICCV 2023
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
ICML 2023
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution
WACV 2023
Restore From Restored: Video Restoration With Pseudo Clean Video
CVPR 2021
Scene-Adaptive Video Frame Interpolation via Meta-Learning
CVPR 2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning
ECCV 2020
Spatio-temporal Transformer Network for Video Restoration
ECCV 2018
Online Video Deblurring via Dynamic Temporal Blending Network
ICCV 2017
Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring
CVPR 2017
Generalized Video Deblurring for Dynamic Scenes
CVPR 2015
Segmentation-Free Dynamic Scene Deblurring
CVPR 2014
Optical Flow via Locally Adaptive Fusion of Complementary Data Costs
ICCV 2013
Dynamic Scene Deblurring
ICCV 2013