5 citations · 5 across the 7 of their papers we have counts for
8 papers
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…
Defending Large Language Models Against Jailbreak Exploits with Responsible AI Considerations
Ryan Wong, Hosea David Yu Fei Ng, Dhananjai Sharma +2
Large Language Models (LLMs) remain susceptible to jailbreak exploits that bypass safety filters and induce harmful or unethical behavior. This work presents a systematic taxonomy…
WideSearch: Benchmarking Agentic Broad Info-Seeking
Ryan Wong, Jiawei Wang, Junjie Zhao +10
From professional research to everyday planning, many tasks are bottlenecked by wide-scale information seeking, which is more repetitive than cognitively complex. With the rapid de…
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…
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…
Block-SSD: A New Block-Based Blocking SSD Architecture
Ryan Wong, Arjun Tyagi, Sungjun Cho +2
Computer science and related fields (e.g., computer engineering, computer hardware engineering, electrical engineering, electrical and computer engineering, computer systems engine…
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,…
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…