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 on machine learning applications and cryptology. In Fall 2020, I interned at KIST, where I developed TEM imagery processor 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 |
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📰 News |
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📚 Selected Publication* denotes equal contribution. |
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Self-Augmented Visual Contrastive Decoding Eun Woo Im, Muhammad Kashif Ali, Vivek Gupta ICLR 2026 / arXiv / code / project page |
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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 |
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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 |
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Harnessing Meta-Learning for Improving Full-Frame Video
Stabilization Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim, Tae Hyun Kim CVPR 2024 / arXiv / code |
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Deep Variational Bayesian Modeling of Haze Degradation
Process Eun Woo Im*, Junsung Shin*, Sungyong Baik, Tae Hyun Kim CIKM 2023 / arXiv / code |
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