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Manfred Georg

2 accepted papers

2025

FSboard: Over 3 Million Characters of ASL Fingerspelling Collected via Smartphones

CVPR 2025poster

Progress in machine understanding of sign languages has been slow and hampered by limited data. In this paper, we present FSboard, an American Sign Language fingerspelling dataset situated in a mobile text entry use case, collected from 147 paid and consenting Deaf signers using Pixel 4A selfie came…

Cited by 1SourcePDFScholar
2023

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus

NeurIPS 2023poster

Machine learning for sign languages is bottlenecked by data. In this paper, we present YouTube-ASL, a large-scale, open-domain corpus of American Sign Language (ASL) videos and accompanying English captions drawn from YouTube. With ~1000 hours of videos and >2500 unique signers, YouTube-ASL is ~3x a…

Cited by 52SourcePDFScholar