Key Publications
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All Publications
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When do diffusion models learn to generate multiple objects?
Yujin Jeong,
Arnas Uselis,
Iro Laina,
Seong Joon Oh,
Anna Rohrbach
ICML, 2026
Paper / Code
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Diffusion Classifiers Understand Compositionality, but Conditions Apply
Yujin Jeong*,
Arnas Uselis*,
Seong Joon Oh,
Anna Rohrbach
NeurIPS D&B Track, 2025
*equal contributions
Paper / Code
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Read, Watch and Scream! Sound Generation from Text and Video
Yujin Jeong,
Yunji Kim,
Sanghyuk Chun,
Jiyoung Lee
AAAI, 2025
code & project page / paper / webinar
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The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
Yujin Jeong,
Wonjeong Ryoo,
Seung Hyun Lee,
Wonmin Byeon,
Sangpil Kim,
Jinkyu Kim
ICCV, 2023
code & project page / paper
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Zero-shot Visual Commonsense Immorality Prediction
Yujin Jeong,
Seongbeom Park,
Suhong Moon,
Jinkyu Kim
BMVC, 2022
code & dataset / paper
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An image is worth a thousand tasks: Verifiable Compositional Reasoning over Images for VLM
Arnas Uselis,
Yujin Jeong,
Yanpeng Zhao, Alexander Rubinstein, Seong Joon Oh, Yonatan Bitton, Paul Gavrikov
NeurIPS D&B, 2026
Paper
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Tuning Just Enough: Lightweight Backdoor Attacks on Multi-Encoder Diffusion Models
Ziyuan Chen,
Yujin Jeong,
Tobias Braun,
Anna Rohrbach
EMNLP findings, 2026
Paper
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Streaming Dense Voxel Representationsfor 3D Occupancy Prediction
Seokha Moon, Janghyun Baek, Yujin Jeong, Daewon Chae, Giseop Kim, Jungbeom Lee, Jinkyu Kim, Sunwook Choi
ECCV, 2026
Paper / Code
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