Eun Woo Im [ɯnu ɪm] (임은우, 任殷佑)

Hello World! and welcome to my website.

I am a Ph.D. student in Computer Science at the School of Computing and Augmented Intelligence, Arizona State University, advised by Prof. Vivek Gupta. My ultimate research goal is to construct a reliable multimodal AGI system and contribute to its practical and ethically proper deployment.

Prior to ASU, I obtained my M.S. in Artificial Intelligence (2023) and B.S. in Mathematics (2021) from Hanyang University in the Republic of Korea 🇰🇷. During the period, I was fortunate to have supervision of Prof. Tae Hyun Kim on computational imaging tasks and Prof. Jae Hong Seo in the areas of machine learning applications and cryptology. In Fall 2020, I had the privilege to intern at KIST, where I developed TEM imagery processer and classifier systems.

I am actively seeking a research internship. If you have any opportunities or referrals, please feel free to reach me out by email.

Email / GitHub / Google Scholar / LinkedIn / CV

📰 News

01/2026: The following paper has been accepted to ICLR 2026.
- Self-Augmented Visual Contrastive Decoding
09/2025: A new preprint is released.
- Self-Augmented Visual Contrastive Decoding
08/2025: A new preprint is released.
- Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization
02/2025: The following paper has been accepted to CVPR 2025.
- VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
11/2024: A new preprint is released.
- Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
04/2024: I will be joining Arizona State University as a Ph.D. student.
02/2024: The following paper has been accepted to CVPR 2024.
- Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
08/2023: I defended my thesis and received the Master's degree from Hanyang University. Thank you for your support.
08/2023: The following paper has been accepted to CIKM 2023.
- Deep Variational Bayesian Modeling of Haze Degradation Process (Long/Full Paper, Oral Presentation)

📚 Selected Publication

^* denotes equal contribution.

	Self-Augmented Visual Contrastive Decoding Eun Woo Im, Muhammad Kashif Ali, Vivek Gupta ICLR 2026 / arXiv / code / project page
	Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim, Vivek Gupta, Haonan Luo, Tianrui Li arXiv / code
	VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding Chaoyu Li, Eun Woo Im, Pooyan Fazli CVPR 2025 / arXiv / code / project page
	Harnessing Meta-Learning for Improving Full-Frame Video Stabilization Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim CVPR 2024 / arXiv / code
	Deep Variational Bayesian Modeling of Haze Degradation Process Eun Woo Im^, Junsung Shin^, Sungyong Baik, Tae Hyun Kim CIKM 2023 / arXiv / code

❝ Favorite Quotes

The biggest risk is not taking any risk. In a world that changing really quickly, the only strategy that is guaranteed to fail is not taking risks.
- Mark Elliot Zuckerberg
Never let go of your appetite to go after new ideas, new experiences, and new adventures.
- Steven Paul Jobs
Be humble in your confidence yet courageous in your character.
- Kun-Hee Lee