Dahuin Jung
18 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Deep Learning
(10)
Learning Types Β· Machine Learning
(10)
Application Areas
(6)
Artificial Intelligence
(5)
Computer Vision
(5)
Core AI
(5)
Core Methods
(4)
Models
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Processing
(3)
Techniques
(3)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
vision-language model
(3)
continual learning
(3)
self-supervised learning
(2)
diffusion model
(2)
out-of-distribution detection
(2)
generative adversarial network
(2)
vision transformer
(2)
image segmentation
(1)
semantic segmentation
(1)
contrastive learning
(1)
online learning
(1)
imitation learning
(1)
transfer learning
(1)
feature extraction
(1)
image generation
(1)
source-free domain adaptation
(1)
catastrophic forgetting
(1)
knowledge distillation
(1)
adversarial learning
(1)
video frame interpolation
(1)
Papers
FEAT: Fashion Editing and Try-On from Any Design
CVPR 2026
Disentangled Motion Modeling for Video Frame Interpolation
AAAI 2025
Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
ICCV 2025
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
ECCV 2024
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
ICLR 2024
Sample-efficient Adversarial Imitation Learning
JMLR 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
NeurIPS 2024
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
NeurIPS 2023
Generating Instance-level Prompts for Rehearsal-free Continual Learning
ICCV 2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
ICML 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
ICLR 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
NeurIPS 2023
Probabilistic Concept Bottleneck Models
ICML 2023
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
NeurIPS 2023
Confidence Score for Source-Free Unsupervised Domain Adaptation
ICML 2022
Stein Latent Optimization for Generative Adversarial Networks
ICLR 2022
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
ECCV 2020
HexaGAN: Generative Adversarial Nets for Real World Classification
ICML 2019