Scholar
Yan-Bo Lin
Google Scholar ID: T4pYUkAAAAAJ
Ph.D. Student, Computer Science, UNC Chapel Hill
Citations & Impact
Citations
928
H-index
10
i10-index
11
Publications
15
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- October 2024: Two papers accepted for WACV 2025
- July 2024: One paper accepted for ECCV 2024
- February 2024: Starting remote internship at Microsoft GenAI team
- February 2023: One paper accepted for CVPR 2023
- November 2022: One paper accepted for CVIU
- July 2022: One paper accepted for ECCV 2022
- June 2022: Presenting ECLIPSE at CVPR 2022 Sight and Sound workshop
- November 2021: Presenting NeurIPS paper at NeurIPS Taipei Meetup
- September 2021: One paper accepted for NeurIPS 2021; Serving as a program committee for AAAI 2022
- June 2021: Presenting Unsupervised Sound Localization via Iterative Contrastive Learning at CVPR 2021 Sight and Sound workshop
- December 2020: One paper accepted for AAAI 2021
- September 2020: One paper accepted for ACCV 2020
- November 2019: Master Thesis Honorable Mention Award by TAAI
- August 2019: Master Thesis Honorable Mention Award by IPPR
- July 2019: One paper accepted for ICCV 2019
- February 2019: One paper accepted for ICASSP 2019
Background
- Currently a Ph.D. student in the Department of Computer Science at UNC Chapel Hill, working with Prof. Gedas Bertasius. Research interests lie in Deep Learning and Computer Vision, particularly multimodal learning with multi-modality data.
Miscellany
- Currently on the job market, seeking research scientist or engineer roles. Focuses on efficient audio/video understanding, including pretraining, model adaptation, and reasoning with LLMs. Also works on multimodal generation and editing. Interned at ByteDance, Microsoft, and Adobe Research.
