6 citations · 10 across the 7 of their papers we have counts for
8 papers
SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation
Muxin Pu, Xiao-Ming Wu, Mei Kuan Lim +3
We present SignDPO, a novel multi-level Direct Preference Optimisation (DPO) framework designed to enhance the alignment of skeleton-based Sign Language Translation. While current…
Sigma: Semantically Informative Pre-training for Skeleton-based Sign Language Understanding
Muxin Pu, Mei Kuan Lim, Chun Yong Chong +1
Pre-training has proven effective for learning transferable features in sign language understanding (SLU) tasks. Recently, skeleton-based methods have gained increasing attention b…
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education
Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong +6
Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of…
Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing
Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong +7
Recent studies have proposed the use of Text-To-Speech (TTS) systems to automatically synthesise speech test cases on a scale and uncover a large number of failures in ASR systems.…
Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing
Muxin Pu, Chun Yong Chong, Mei Kuan Lim
Hand pose estimation (HPE) is a task that predicts and describes the hand poses from images or video frames. When HPE models estimate hand poses captured in a laboratory or under c…
ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems
Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang +3
Recent years have witnessed wider adoption of Automated Speech Recognition (ASR) techniques in various domains. Consequently, evaluating and enhancing the quality of ASR systems is…
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors
Nyee Thoang Lim, Meng Yi Kuan, Muxin Pu +2
Deepfakes utilise Artificial Intelligence (AI) techniques to create synthetic media where the likeness of one person is replaced with another. There are growing concerns that deepf…
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing
Muxin Pu, Meng Yi Kuan, Nyee Thoang Lim +2
Fairness of deepfake detectors in the presence of anomalies are not well investigated, especially if those anomalies are more prominent in either male or female subjects. The prima…