4 citations · 5 across the 6 of their papers we have counts for
5 papers · 1 filter
MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognition
Mingyu Zhao, Zhanfu Yang, Yang Zhou +4
This paper employs a multimodal approach for continuous sign recognition by first using ML for detecting the start and end frames of signs in videos of American Sign Language (ASL)…
SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space
Sen Fang, Yalin Feng, Chunyu Sui +5
The complexity of Sign Language (SL) data processing brings many challenges. The current approach to recognition of SL signs aims to translate RGB sign language videos through pose…
New Capability to Look Up an ASL Sign from a Video Example
Carol Neidle, Augustine Opoku, Carey Ballard +4
Looking up an unknown sign in an ASL dictionary can be difficult. Most ASL dictionaries are organized based on English glosses, despite the fact that (1) there is no convention for…
DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization
Zhaoyang Xia, Carol Neidle, Dimitris N. Metaxas
Since American Sign Language (ASL) has no standard written form, Deaf signers frequently share videos in order to communicate in their native language. However, since both hands an…
Challenges for Linguistically-Driven Computer-Based Sign Recognition from Continuous Signing for American Sign Language
Carol Neidle
There have been recent advances in computer-based recognition of isolated, citation-form signs from video. There are many challenges for such a task, not least the naturally occurr…