Jung, Dahuin

18 publications

AAAI 2025 Disentangled Motion Modeling for Video Frame Interpolation Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon

ICCV 2025 Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung, Sungroh Yoon

ECCV 2024 Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon

ICLR 2024 Entropy Is Not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon

JMLR 2024 Sample-Efficient Adversarial Imitation Learning Dahuin Jung, Hyungyu Lee, Sungroh Yoon

NeurIPS 2024 Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

NeurIPS 2023 CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon

ICCV 2023 Generating Instance-Level Prompts for Rehearsal-Free Continual Learning Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song

ICML 2023 Improving Visual Prompt Tuning for Self-Supervised Vision Transformers Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon

ICLR 2023 New Insights for the Stability-Plasticity Dilemma in Online Continual Learning Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon

NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon

NeurIPS 2023 PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon

ICML 2023 Probabilistic Concept Bottleneck Models Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon

ICML 2022 Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon

NeurIPSW 2022 Sample-Efficient Adversarial Imitation Learning Dahuin Jung, Hyungyu Lee, Sungroh Yoon

ICLR 2022 Stein Latent Optimization for Generative Adversarial Networks Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

ECCV 2020 iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon

ICML 2019 HexaGAN: Generative Adversarial Nets for Real World Classification Uiwon Hwang, Dahuin Jung, Sungroh Yoon