Abstract Hand Gesture Recognition (HGR) is a challenging computer vision task. Recently,
by taking advantages of deep learning-based models, HGR methods have achieved …

Abstract Continuous Sign Language Recognition (CSLR) is a long challenging task in
Computer Vision due to the difficulties in detecting the explicit boundaries between the …

In this paper, we present a novel hand–based Video Question Answering framework,
entitled Multi-View Video Question Answering (MV-VQA), employing the Single Shot …

Sign language is a rich form of communication, uniquely conveying meaning through a
combination of gestures, facial expressions, and body movements. Existing research in sign …

Indian Sign Language has limited resources for developing machine learning and data-
driven approaches for automated language processing. Though text/audio-based language …

Sign language, essential for the deaf and hard-of-hearing, presents unique challenges in
translation and production due to its multimodal nature and the inherent ambiguity in …

Continuous Hand Gesture Recognition (CHGR) has been extensively studied by
researchers in the last few decades. Recently, one model has been presented to deal with …

Sign language is commonly used by people with hearing and speech impairments, making it
difficult for those without such disabilities to understand. However, sign language is not …

In recent years, the use of virtual assistants and voice user interfaces has become a latent
part of modern living. Unseen to the user are the various artificial intelligence and natural …

Sign language is acknowledged as a unique language in the field of machine translation,
possessing distinct grammatical characteristics compared to written or spoken Vietnamese …