Iβm a first-year M.S. students at Sungkyunkwan University, advised by Prof. Sungeun Hong in the AI and Media Lab. Iβm interested in multimodal learning, audio-visual recognition, model merging, and understanding egocentric video
π₯ News
- Jun. 2025 : Β ππ Task Vector Quantization for Memory-Efficient Model Merging is accepted at ICCV 2025!
- Jun. 2025 : Β ππ I was selected as a recipient of the AI SeoulTech Graduate Scholarship!
π Publications
*Denotes equal contribution
- Task Vector Quantization for Memory-Efficient Model Merging
Youngeun Kim*, Seunghwan Lee*, Aecheon Jung*, Bogon Ryu, Sungeun Hong
ICCV 2025 | [Project page] | [arXiv] | [Code]
π‘ Project
- Jun. 2025 β Present : Multimodal Framework for Depression Diagnosis
Funded by Ministry of Trade, Industry and Energy (MOTIE) - Apr. 2024 - Jul. 2024 : Improved cross-modal retrieval performance in Visually Grounded Speech (VGS) by leveraging knowledge distillation from CLIP for speechβimage alignment PDF
π Honors and Awards
- Jun. 2025 : Selected as a recipient of the AI SeoulTech Graduate Scholarship, awarded for outstanding research potential in AI
π Educations
- Mar. 2025 - present : Sungkyunkwan University, M.S. Student, Department of Immersive Media Engineering
- Mar. 2018 - Feb. 2025 : Konkuk University, Bachelor of Engineering, Computer Science and Engineering (Double Major in Electrical and Electronics Engineering)
π» Internships
- Jul. 2024 - Feb. 2025 : Artificial Intelligence and Media Lab @ Sungkyunkwan Univ
- Jul. 2022 - Aug. 2022 : Artificial Intelligence & Machine Learning Lab @ KAIST
- Jan. 2022 - Feb. 2022 : Signal Processing Systems Laboratory @ Sogang Univ