Jun-Hyuk Kim
6 papers · 2019–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
adversarial attack
(2)
entropy model
(2)
rate-distortion optimization
(2)
feature embedding
(1)
image compression
(1)
image super-resolution
(1)
feature space
(1)
context modeling
(1)
random networks
(1)
semantic information
(1)
generative model
(1)
latent representation
(1)
convolutional neural network
(1)
perceptual quality
(1)
neural network robustness
(1)
adversarial vulnerability
(1)
learned image compression
(1)
one frame attack
(1)
neural image codec
(1)
hyper latent
(1)
Papers
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
NeurIPS 2024
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
ICML 2024
Demystifying Randomly Initialized Networks for Evaluating Generative Models
AAAI 2023
Joint Global and Local Hierarchical Priors for Learned Image Compression
CVPR 2022
Just One Moment: Structural Vulnerability of Deep Action Recognition Against One Frame Attack
ICCV 2021
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks
ICCV 2019