Jung, Dahuin
- Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
2024/03/12 by Jonghyun Lee, Dahuin Jung, Lee, Jonghyun +11 · 24 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications
- Probabilistic Concept Bottleneck Models
2023/06/02 by Eunji Kim, Dahuin Jung, Kim, Eunji +7 · 12 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Improving Visual Prompt Tuning for Self-supervised Vision Transformers
2023/06/08 by Yoo, Seungryong, Kim, Eunji, Jung, Dahuin +2 · 8 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Security and Privacy Issues in Deep Learning
2018/07/31 by Ho Bae, Jaehee Jang, Bae, Ho +11 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Cryptography and Data Security
- Confidence Score for Source-Free Unsupervised Domain Adaptation
2022/06/14 by Jonghyun Lee, Dahuin Jung, Lee, Jonghyun +5 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
2025/01/19 by Park, Junsung, Lee, Jungbeom, Song, Jongyoon +3 · 11 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- HexaGAN: Generative Adversarial Nets for Real World Classification
2019/02/26 by Hwang, Uiwon, Jung, Dahuin, Yoon, Sungroh · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Disentangled Motion Modeling for Video Frame Interpolation
2024/06/25 by Lew, Jaihyun, Choi, Jooyoung, Shin, Chaehun +2 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
2023/10/16 by Hyemi Jang, Jang, Hyemi, Junsung Park +9 · 3 citations
Computer Science · Engineering · #Image and Signal Denoising Methods #Image Processing Techniques and Applications #Advanced Image Fusion Techniques
- FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks
2022/10/25 by Jang, Jaehee, Ha, Heonseok, Jung, Dahuin +1 · 2 citations
#Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
2023/02/17 by Dahuin Jung, Dongjin Lee, Jung, Dahuin +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection
2023/05/30 by Kim, Daegyu, Shin, Chaehun, Choi, Jooyoung +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
2024/03/16 by Oh, Yeongtak, Lee, Jonghyun, Choi, Jooyoung +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences