Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Continuous sign language recognition (SLR) deals with unaligned video-text pair and uses
the word error rate (WER), ie, edit distance, as the main evaluation metric. Since it is not …

Sign language translation (SLT) is a challenging weakly supervised task without word-level
annotations. An effective method of SLT is to leverage multimodal complementarity and to …

Continuous Sign Language Recognition (CSLR) refers to the challenging problem of
recognizing sign language glosses and their temporal boundaries from weakly annotated …

Abstract Sign Language Recognition (SLR) targets on interpreting sign language video into
natural language, which largely facilitates mutual communication between the deaf and …

Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …

Sign language recognition (SLR) enables hearing-impaired people to better communicate
with able-bodied individuals. The diversity of multiple modalities can be utilized to improve …

Remote photoplethysmography (rPPG)-based physiological measurement is an emerging
yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from …

Sign language recognition (SLR) is a significant and promising technique to facilitate the
communication for the hearing-impaired people. In this paper, we are dedicated to weakly …