Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
Machine translation from signed to spoken languages: State of the art and challenges
Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …
domain on the intersection of computer vision, machine translation (MT), and linguistics …
Youtube-asl: A large-scale, open-domain american sign language-english parallel corpus
Abstract 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 …
present YouTube-ASL, a large-scale, open-domain corpus of American Sign Language …
Findings of the first wmt shared task on sign language translation (wmt-slt22)
This paper presents the results of the First WMT Shared Task on Sign Language Translation
(WMT-SLT22). This shared task is concerned with automatic translation between signed and …
(WMT-SLT22). This shared task is concerned with automatic translation between signed and …
Using motion history images with 3d convolutional networks in isolated sign language recognition
Sign language recognition using computational models is a challenging problem that
requires simultaneous spatio-temporal modeling of the multiple sources, ie faces, hands …
requires simultaneous spatio-temporal modeling of the multiple sources, ie faces, hands …
Findings of the second WMT shared task on sign language translation (WMT-SLT23)
This paper presents the results of the Second WMT Shared Task on Sign Language
Translation (WMT-SLT23) 1. This shared task is concerned with automatic translation …
Translation (WMT-SLT23) 1. This shared task is concerned with automatic translation …
Reconstructing signing avatars from video using linguistic priors
Sign language (SL) is the primary method of communication for the 70 million Deaf people
around the world. Video dictionaries of isolated signs are a core SL learning tool. Replacing …
around the world. Video dictionaries of isolated signs are a core SL learning tool. Replacing …
Sign language avatars: a question of representation
Given the achievements in automatically translating text from one language to another, one
would expect to see similar advancements in translating between signed and spoken …
would expect to see similar advancements in translating between signed and spoken …
Best practices for sign language technology research
Research on sign language technology (SLT) has steadily increased in recent decades, and
yet, common mistakes and pitfalls have significantly hindered progress in the field. The …
yet, common mistakes and pitfalls have significantly hindered progress in the field. The …
Aligning accumulative representations for sign language recognition
Accumulative representations provide a method for representing variable-length videos with
constant length features. In this study, we present aligned temporal accumulative features …
constant length features. In this study, we present aligned temporal accumulative features …