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20182023
most citedSelf-Supervised Video Transformers for Isolated Sign Language Recognition

4 citations · 4 across the 3 of their papers we have counts for

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cs.CV20234 cited

Self-Supervised Video Transformers for Isolated Sign Language Recognition

Marcelo Sandoval-Castaneda, Yanhong Li, Diane Brentari +2

This paper presents an in-depth analysis of various self-supervision methods for isolated sign language recognition (ISLR). We consider four recently introduced transformer-based a…

cs.CV2022

Searching for fingerspelled content in American Sign Language

Bowen Shi, Diane Brentari, Greg Shakhnarovich +1

Natural language processing for sign language video - including tasks like recognition, translation, and search - is crucial for making artificial intelligence technologies accessi…

cs.CV2021

Fingerspelling Detection in American Sign Language

Bowen Shi, Diane Brentari, Greg Shakhnarovich +1

Fingerspelling, in which words are signed letter by letter, is an important component of American Sign Language. Most previous work on automatic fingerspelling recognition has assu…

cs.CV2019

Fingerspelling recognition in the wild with iterative visual attention

Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane +3

Sign language recognition is a challenging gesture sequence recognition problem, characterized by quick and highly coarticulated motion. In this paper we focus on recognition of fi…

cs.CV2018

American Sign Language fingerspelling recognition in the wild

Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane +4

We address the problem of American Sign Language fingerspelling recognition in the wild, using videos collected from websites. We introduce the largest data set available so far fo…