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20222026
most citedSign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation

5 citations · 5 across the 7 of their papers we have counts for

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cs.CV2026

SignMatch: Matching Dictionary Signs to Continuous Sign Language Video

Ryan Wong, Youngjoon Jang, Liliane Momeni +2

The objective of this paper is to match dictionary sign videos to corresponding signs in continuous signing videos, where a match is defined by the visual similarity alone - the ha…

cs.CV2025

SignRep: Enhancing Self-Supervised Sign Representations

Ryan Wong, Necati Cihan Camgoz, Richard Bowden

Sign language representation learning presents unique challenges due to the complex spatio-temporal nature of signs and the scarcity of labeled datasets. Existing methods often rel…

cs.CV2024★ 5 cited

Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation

Ryan Wong, Necati Cihan Camgoz, Richard Bowden

Automatic Sign Language Translation requires the integration of both computer vision and natural language processing to effectively bridge the communication gap between sign and sp…

cs.CV2023

Learnt Contrastive Concept Embeddings for Sign Recognition

Ryan Wong, Necati Cihan Camgoz, Richard Bowden

In natural language processing (NLP) of spoken languages, word embeddings have been shown to be a useful method to encode the meaning of words. Sign languages are visual languages,…

cs.CV2022

Hierarchical I3D for Sign Spotting

Ryan Wong, Necati Cihan Camgöz, Richard Bowden

Most of the vision-based sign language research to date has focused on Isolated Sign Language Recognition (ISLR), where the objective is to predict a single sign class given a shor…