Yujin Jeong

I am a PhD student at TU Darmstadt and a member of ELLIS program under the supervision of Anna Rohrbach (the Multimodal AI Lab, TU Darmstadt) and Iro Laina (VGG, University of Oxford). I completed my Master's degree in Computer Science at Korea University under the supervision of Jinkyu Kim. I had an amazing opportunity to complete an internship as part of the ML Research team at NAVER AI LAB, and I also visited the Scalable Trustworthy AI (STAI) group at the Tübingen AI Center as visiting researcher during my Master’s. Previously, I received my B.S. in Statistics at Ewha Womans University. My current research interest is 1. Compositional generative models (Unified framework, Diffusion models), 2. Analysis by Synthesis, and 3. Multimodal Generative models (Text-Vision-Audio).

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Key Publications

When do diffusion models learn to generate multiple objects?

Diffusion Classifiers Understand Compositionality, but Conditions Apply

Read, Watch and Scream! Sound Generation from Text and Video

The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion

Zero-shot Visual Commonsense Immorality Prediction

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