Eun Woo Im

Eun Woo Im (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. Currently, I work on video understanding and multi-modality problems.

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 🇰🇷. 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.

For any inquires, please feel free to reach me via email.

Email / GitHub / Google Scholar / LinkedIn / CV

📰 News

04/2024: I will be joining Arizona State University this fall 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)

06/2023: The following paper has been accepted to KIBME summer conference.

Pilot Study of Variational Bayesian Framework for Single Image Dehazing

📚 Selected Publication

^* denotes equal contribution.

	Harnessing Meta-Learning for Improving Full-Frame Video Stabilization Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim CVPR 2024 / paper / code
	Deep Variational Bayesian Modeling of Haze Degradation Process Eun Woo Im^, Junsung Shin^, Sungyong Baik, Tae Hyun Kim CIKM 2023 / paper / 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