Dahuin Jung

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Imitation Learning

Generative Model

Top Venues

Publications

Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR (2024)
Jihun Yi, Dahuin Jung, Sungroh Yoon
Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. CoRR (2024)
Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
Disentangled Motion Modeling for Video Frame Interpolation. CoRR (2024)
Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR (2024)
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR (2024)
Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon
Real-world prediction of preclinical Alzheimer's disease with a deep generative model. Artif. Intell. Medicine 144 (2023)
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR (2023)
Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. NeurIPS (2023)
Dahuin Jung, Hyungyu Lee, Sungroh Yoon
Sample-efficient Adversarial Imitation Learning. CoRR (2023)
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS (2023)
Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song
Generating Instance-level Prompts for Rehearsal-free Continual Learning. ICCV (2023)
Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML (2023)
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection. CoRR (2023)
Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
Probabilistic Concept Bottleneck Models. ICML (2023)
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR (2023)
Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR (2023)
Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
Probabilistic Concept Bottleneck Models. CoRR (2023)
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. ICLR (2023)
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. NeurIPS (2023)
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. CoRR (2023)
Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
Stein Latent Optimization for Generative Adversarial Networks. ICLR (2022)
Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. ICPP (2022)
Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR (2022)
Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
Confidence Score for Source-Free Unsupervised Domain Adaptation. ICML (2022)
Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. CoRR (2022)
Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
Stein Latent Optimization for GANs. CoRR (2021)
Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. CoRR (2020)
Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. ECCV (19) (2020)
Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB (2020)
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
HexaGAN: Generative Adversarial Nets for Real World Classification. ICML (2019)
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
HexaGAN: Generative Adversarial Nets for Real World Classification. CoRR (2019)
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR (2019)
Ho Bae, Dahuin Jung, Sungroh Yoon
AnomiGAN: Generative adversarial networks for anonymizing private medical data. CoRR (2019)
Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon
Security and Privacy Issues in Deep Learning. CoRR (2018)