Yung-Hsuan (Franklin) Lai
M.S. Graduate from National Taiwan University | Deep Learning | Computer Vision
Hello! I am a research assistant in the Vision and Learning Lab at National Taiwan University, focusing on cross-modality learning such as audio-visual learning and vision-text learning.
My academic journey began in the Communication Engineering Department at National Taiwan University, where I pursued my M.S. degree under the guidance of Professor Yu‑Chiang Frank Wang, specializing in Audio-Visual Learning. For my Master’s thesis, I tackled the challenge of weakly-supervised Audio-Visual Video Parsing. My method involves leveraging large-scale contrastively pre-trained models to generate reliable pseudo labels, which outperformed existing methods in terms of effectiveness. Prior to my postgraduate studies, I obtained a B.S. degree in Electrical Engineering from National Taiwan University.
News
| Jul 2, 2024 | Our paper Receler and Select and Distill are accepted by ECCV 2024 |
|---|---|
| Jan 16, 2024 | Our paper RAPPER is accepted by ICLR 2024 |
| Sep 22, 2023 | Our paper VALOR is accepted by NeurIPS 2023 |
| Sep 1, 2023 | Graduate with a M.S. degree from National Taiwan University! Start working as a research assistant in the same lab! |
Publications
2024
-
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language ModelsIn ECCV, 2024 -
Receler: Reliable concept erasing of text-to-image diffusion models via lightweight erasersIn ECCV, 2024 -
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question AnsweringIn ICLR, 2024
