Scholar
Sam Pollard
Google Scholar ID: WDylpuwAAAAJ
PhD Student, University of Bristol
Citations & Impact
Citations
16
H-index
1
i10-index
1
Publications
2
Co-authors
16
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Papers published: 'A Video Is Not Worth a Thousand Words' (co-authored with Michael Wray), 'Video, How Do Your Tokens Merge?' (co-authored with Michael Wray), 'HD-EPIC: A Highly Detailed Egocentric Dataset' (co-authored with multiple authors); Invited to present at BMVA Symposium on Multimodal Large Models 2025; Awarded Best Computer Vision Project for MEng dissertation.
Research Experience
- Started as a PhD student within the MaVi research group on 25th September 2023; Graduated from the University of Bristol (MEng) with a First on 28th July 2023.
Education
- PhD: University of Bristol, supervised by Dr. Michael Wray; MEng: University of Bristol, First Class Honours, dissertation titled 'Compressed Learning for Egocentric Action Recognition', awarded Best Computer Vision Project prize.
Background
- Research Interests: Video redundancy, and exposing the degree to which large vision models are really understanding what they’re evaluating. Field: Mathematics and Computer Science.
Miscellany
- Accessible GitHub account and personal academic homepage; Teaching Assistant experience: COMSM0045 Applied Deep Learning (for three consecutive years).
