Hi!, I’m an AI Researcher specializing in Vision-Language Models and Generative AI. I earned my M.S. in Artificial Intelligence from Hanyang University, where I was advised by Prof. Dong-Jin Kim.

My primary research centers on Visual Prompt Tuning, with a specific focus on two core objectives: enhancing visual information through structured prompts and mitigating modality gaps between vision and language. I aim to integrate fine-grained representations to create more effective, interpretable, and robust prompts that align seamlessly with multi-modal applications. Recently, I have expanded my research scope to Text-to-Video generation, exploring novel ways to synthesize dynamic visual content.

If you are interested in working with me, please feel free to drop me an email through taewhan7725@gmail.com.

Research News

[12/2024] SIDA, SynC are accepted by ACMMM 2025
[12/2024] ViPCap is accepted by AAAI 2025
[09/2024] IFCap is accepted by EMNLP 2024
[03/2022] Is college students’ trajectory associated with academic performance? is accepted by Computers & Education 2022

Selected Publications

	SIDA: Synthetic Image Driven Zero-shot Domain Adaptation. Ye-Chan Kim, SeungJu Cha, Si-Woo Kim, Taewhan Kim, Dong-Jin Kim. ACMMM, 2025 [paper]
	SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning. Si-Woo Kim, MinJu Jeon, Ye-Chan Kim, Soeun Lee, Taewhan Kim, Dong-Jin Kim. ACMMM, 2025 [paper] [code]
	ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning. Taewhan Kim, Soeun Lee, Si-Woo Kim, Dong-Jin Kim. AAAI, 2025 [paper] [code]
	IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning. Soeun Lee*, Si-Woo Kim*, Taewhan Kim, Dong-Jin Kim. EMNLP, 2024 [paper] [code]
	Is college students’ trajectory associated with academic performance?. Hyoungjoon Lim, Soohyun Kim, Kyong-Mee Chung, Kangjae Lee, Taewhan Kim, Joon Heo. Computers & Education, 2022 [paper]