Cico: Domain-aware sign language retrieval via cross-lingual contrastive learning
This work focuses on sign language retrieval--a recently proposed task for sign language
understanding. Sign language retrieval consists of two sub-tasks: text-to-sign-video (T2V) …
understanding. Sign language retrieval consists of two sub-tasks: text-to-sign-video (T2V) …
Sign language video retrieval with free-form textual queries
A Duarte, S Albanie, X Giró-i-Nieto… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Systems that can efficiently search collections of sign language videos have been
highlighted as a useful application of sign language technology. However, the problem of …
highlighted as a useful application of sign language technology. However, the problem of …
American sign language fingerspelling recognition in the wild
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 for …
using videos collected from websites. We introduce the largest data set available so far for …
Fingerspelling recognition in the wild with iterative visual attention
Sign language recognition is a challenging gesture sequence recognition problem,
characterized by quick and highly coarticulated motion. In this paper we focus on recognition …
characterized by quick and highly coarticulated motion. In this paper we focus on recognition …
[PDF][PDF] Challenges in development of the american sign language lexicon video dataset (asllvd) corpus
Abstract The American Sign Language Lexicon Video Dataset (ASLLVD) consists of videos
of> 3,300 ASL signs in citation form, each produced by 1-6 native ASL signers, for a total of …
of> 3,300 ASL signs in citation form, each produced by 1-6 native ASL signers, for a total of …
Automatic translation of Arabic text-to-Arabic sign language
H Luqman, SA Mahmoud - Universal Access in the Information Society, 2019 - Springer
Arabic sign language (ArSL) is a full natural language that is used by the deaf in Arab
countries to communicate in their community. Unfamiliarity with this language increases the …
countries to communicate in their community. Unfamiliarity with this language increases the …
An efficient sign language recognition (SLR) system using Camshift tracker and hidden Markov model (hmm)
Abstract An efficient Sign Language Recognition (SLR) system could facilitate
communication with hearing impaired persons by identifying the sign gestures. Similar to …
communication with hearing impaired persons by identifying the sign gestures. Similar to …
Fingerspelling detection in american sign language
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 …
American Sign Language. Most previous work on automatic fingerspelling recognition has …
Design and evaluation of hybrid search for american sign language to english dictionaries: Making the most of imperfect sign recognition
Searching for the meaning of an unfamiliar sign-language word in a dictionary is difficult for
learners, but emerging sign-recognition technology will soon enable users to search by …
learners, but emerging sign-recognition technology will soon enable users to search by …
Polish sign language words recognition with Kinect
M Oszust, M Wysocki - 2013 6th International Conference on …, 2013 - ieeexplore.ieee.org
The paper considers Polish sign language (PSL) words recognition with sensor Kinect. The
nearest neighbour classifier with dynamic time warping technique was examined. The …
nearest neighbour classifier with dynamic time warping technique was examined. The …