Joonhyun Jeong
8 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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Unstoppable · Bronze
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Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Computer Vision
(4)
Learning Types
(3)
Analysis
(2)
Application Areas
(2)
Core AI · Artificial Intelligence
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Processing
(2)
Deep Learning
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Techniques
(1)
Keywords
zero-shot learning
(2)
image segmentation
(1)
multimodal large language model
(1)
computer vision
(1)
face detection
(1)
model calibration
(1)
weakly supervised learning
(1)
test-time adaptation
(1)
neural architecture search
(1)
instance segmentation
(1)
safety alignment
(1)
adversarial attack
(1)
convolutional neural network
(1)
synthetic data
(1)
semi-supervised learning
(1)
uncertainty estimation
(1)
data efficiency
(1)
jailbreak attack
(1)
multimodal language model
(1)
semantic segmentation
(1)
Papers
Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood
WACV 2026
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy
CVPR 2025
ZIM: Zero-Shot Image Matting for Anything
ICCV 2025
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
WACV 2024
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
AAAI 2024
GeNAS: Neural Architecture Search with Better Generalization
IJCAI 2023
The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
CVPR 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization
ICML 2022