Yoojin Jang

I'm a Ph.D. candidate at LAIT @ UNIST AIGS advised by Prof. Jaejun Yoo. My research interests are on reproducing natural real-world, especially using image and video generation, robust benchmarks and representation learning, but not limited to.

Email / Scholar / Linkedin

Research Interests

Image and video generation
Benchmarks
Representation learning

Publications

B-RIGHT: Benchmark Re-evaluation for Integrity in Generalized Human-Object Interaction Testing
Yoojin Jang*, Junsu Kim*, Hayeon Kim, Eun-ki Lee, Eun-sol Kim, Seungryul Baek, Jaejun Yoo (*Equal Contribution)
BMVC, 2025
arXiv / Code

	Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation Sangyeop Yeo, Yoojin Jang, Jaejun Yoo ECCV, 2024 project page / arXiv / Code
	TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo NeurIPS, 2023 project page / arXiv / Code
	Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo AAAI, 2023 (Oral Presentation) project page / arXiv / Code

Education

Integrated M.S. and Ph.D.
AI Graduate School, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea

Sep 2021 – Present

Advisor: Prof. Jaejun Yoo
B.S.
Department of Software Convergence, Seoul Women's University, Seoul, South Korea

Mar 2016 – Aug 2021

Advisors: Prof. Helen Hong, Prof. Jun Hwang

Thanks to Jon Barron for providing this template.