Dongjin Kim
12 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23) π Grand Slam π Century Club Β· Bronze
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Research topics
Computer Vision
(10)
Deep Learning
(10)
Processing
(9)
Artificial Intelligence
(5)
Models
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Machine Learning
(4)
Core AI
(4)
Analysis
(3)
Application Areas Β· Machine Learning
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Application Areas Β· Deep Learning
(1)
Core Methods
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Generation
(1)
Keywords
image restoration
(3)
multimodal learning
(3)
image denoising
(3)
sound source localization
(2)
contrastive learning
(2)
latent space
(2)
video understanding
(1)
scene understanding
(1)
image generation
(1)
video highlight detection
(1)
audio-visual learning
(1)
test-time adaptation
(1)
batch normalization
(1)
video restoration
(1)
neural network optimization
(1)
data augmentation
(1)
flow matching
(1)
object localization
(1)
object detection
(1)
feature extraction
(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
IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising
ICCV 2025
Object-aware Sound Source Localization via Audio-Visual Scene Understanding
CVPR 2025
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection
AAAI 2025
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
CVPR 2024
Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge
CVPR 2024
REPrune: Channel Pruning via Kernel Representative Selection
AAAI 2024
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
ICLR 2024
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
ICML 2023
Tanh Works Better with Asymmetry
NeurIPS 2023
Task Agnostic Restoration of Natural Video Dynamics
ICCV 2023