Tae Hyun Kim
25 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(14)
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Grand Slam
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Topic Evolution
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Prolific Year Β· Productive
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Conference Pioneer
ποΈ
Keyword Collector
(99)
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Century Club Β· Bronze
Top co-authors
Research topics
Computer Vision
(19)
Processing
(18)
Machine Learning
(14)
Deep Learning
(12)
Artificial Intelligence
(7)
Learning Types Β· Machine Learning
(6)
Models
(6)
Core AI
(5)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(4)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Generation
(2)
Keywords
image restoration
(11)
image denoising
(4)
convex optimization
(3)
energy minimization
(3)
video restoration
(3)
image deblurring
(3)
motion blur
(2)
latent space
(2)
dynamic scene deblurring
(2)
dynamic scene
(2)
optical flow
(2)
neural network
(2)
convolutional neural network
(2)
motion estimation
(2)
test-time adaptation
(2)
kernel estimation
(2)
normalizing flow
(2)
video synthesis
(1)
video frame interpolation
(1)
density estimation
(1)
Papers
Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution
AAAI 2026
Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning
CVPR 2026
UCMNet: Uncertainty-Aware Context Memory Network for Under-Display Camera Image Restoration
CVPR 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
LAN: Learning to Adapt Noise for Image Denoising
CVPR 2024
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
ICLR 2024
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution
WACV 2023
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
ICML 2023
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection
NeurIPS 2023
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer
ICCV 2023
Task Agnostic Restoration of Natural Video Dynamics
ICCV 2023
Restore From Restored: Video Restoration With Pseudo Clean Video
CVPR 2021
Fast Adaptation to Super-Resolution Networks via Meta-Learning
ECCV 2020
Scene-Adaptive Video Frame Interpolation via Meta-Learning
CVPR 2020
Spatio-temporal Transformer Network for Video Restoration
ECCV 2018
Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring
CVPR 2017
Online Video Deblurring via Dynamic Temporal Blending Network
ICCV 2017
Generalized Video Deblurring for Dynamic Scenes
CVPR 2015
Segmentation-Free Dynamic Scene Deblurring
CVPR 2014
Dynamic Scene Deblurring
ICCV 2013
Optical Flow via Locally Adaptive Fusion of Complementary Data Costs
ICCV 2013