| 2025 | AAAI | Disentangled Motion Modeling for Video Frame Interpolation. | Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon |
| 2025 | ICCV | 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 |
| 2024 | ECCV | Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. | Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon |
| 2024 | ICLR | 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 |
| 2023 | ICCV | Generating Instance-level Prompts for Rehearsal-free Continual Learning. | Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song |
| 2023 | ICLR | New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. | Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon |
| 2023 | ICML | Probabilistic Concept Bottleneck Models. | Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon |
| 2023 | ICML | Improving Visual Prompt Tuning for Self-supervised Vision Transformers. | Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon |
| 2022 | ICLR | Stein Latent Optimization for Generative Adversarial Networks. | Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon |
| 2022 | ICML | Confidence Score for Source-Free Unsupervised Domain Adaptation. | Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon |
| 2022 | ICPP | FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. | Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon |
| 2020 | ECCV | iCaps: An Interpretable Classifier via Disentangled Capsule Networks. | Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon |
| 2020 | PSB | AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. | Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon |
| 2019 | ICML | HexaGAN: Generative Adversarial Nets for Real World Classification. | Uiwon Hwang, Dahuin Jung, Sungroh Yoon |