6 citations · 9 across the 9 of their papers we have counts for
10 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…
LA-Sign: Looped Transformers with Geometry-aware Alignment for Skeleton-based Sign Language Recognition
Muxin Pu, Mei Kuan Lim, Chun Yong Chong +1
Skeleton-based isolated sign language recognition (ISLR) demands fine-grained understanding of articulated motion across multiple spatial scales, from subtle finger movements to gl…
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.…
Closing the Loop for Software Remodularisation -- REARRANGE: An Effort Estimation Approach for Software Clustering-based Remodularisation
Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti
Software remodularization through clustering is a common practice to improve internal software quality. However, the true benefit of software clustering is only realized if develop…
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…
Open Design Case Study -- A Crowdsourcing Effort to Curate Software Design Case Studies
Chun Yong Chong, Eunsuk Kang, Mary Shaw
Case study-based learning has been successfully integrated into various courses, including software engineering education. In the context of software design courses, the use of cas…
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…