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ORCIDDahuin Jung
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2020 – today
- 2024
[j4]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. J. Mach. Learn. Res. 25: 31:1-31:32 (2024)- [c15]Yeongtak Oh
, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon:
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. ECCV (52) 2024: 184-201 - [c14]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 - [i20]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 abs/2403.07366 (2024) - [i19]Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon:
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR abs/2403.10911 (2024) - [i18]Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon:
Disentangled Motion Modeling for Video Frame Interpolation. CoRR abs/2406.17256 (2024) - [i17]Jihun Yi, Dahuin Jung, Sungroh Yoon:
Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. CoRR abs/2407.19849 (2024) - [i16]Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon:
Textual Training for the Hassle-Free Removal of Unwanted Visual Data. CoRR abs/2409.19840 (2024) - 2023
- [j3]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: 102654 (2023) - [j2]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): 331-342 (2023) - [c13]Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song:
Generating Instance-level Prompts for Rehearsal-free Continual Learning. ICCV 2023: 11813-11823 - [c12]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 - [c11]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. ICML 2023: 16521-16540 - [c10]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML 2023: 40075-40092 - [c9]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 - [c8]Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon:
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. NeurIPS 2023 - [c7]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS 2023 - [i15]Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon:
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR abs/2302.08741 (2023) - [i14]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. CoRR abs/2303.07846 (2023) - [i13]Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon:
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection. CoRR abs/2305.18726 (2023) - [i12]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. CoRR abs/2306.01574 (2023) - [i11]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR abs/2306.05067 (2023) - [i10]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 abs/2310.10088 (2023) - [i9]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR abs/2310.16492 (2023) - 2022
- [j1]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): 3343-3356 (2022) - [c6]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for Generative Adversarial Networks. ICLR 2022 - [c5]Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon:
Confidence Score for Source-Free Unsupervised Domain Adaptation. ICML 2022: 12365-12377 - [c4]Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon:
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. ICPP 2022: 76:1-76:10 - [i8]Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon:
Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR abs/2206.06640 (2022) - [i7]Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon:
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. CoRR abs/2210.14226 (2022) - 2021
- [i6]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for GANs. CoRR abs/2106.05319 (2021) - 2020
- [c3]Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon:
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. ECCV (19) 2020: 314-330 - [c2]Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon:
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB 2020: 563-574 - [i5]Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon:
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. CoRR abs/2008.08756 (2020)
2010 – 2019
- 2019
- [c1]Uiwon Hwang, Dahuin Jung, Sungroh Yoon:
HexaGAN: Generative Adversarial Nets for Real World Classification. ICML 2019: 2921-2930 - [i4]Ho Bae, Dahuin Jung, Sungroh Yoon:
AnomiGAN: Generative adversarial networks for anonymizing private medical data. CoRR abs/1901.11313 (2019) - [i3]Uiwon Hwang, Dahuin Jung, Sungroh Yoon:
HexaGAN: Generative Adversarial Nets for Real World Classification. CoRR abs/1902.09913 (2019) - [i2]Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon:
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR abs/1902.10905 (2019) - 2018
- [i1]Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon:
Security and Privacy Issues in Deep Learning. CoRR abs/1807.11655 (2018)
Coauthor Index
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