Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Lim, Mei Kuan"'
Autor:
Pan, Wei Hung, Chok, Ming Jie, Wong, Jonathan Leong Shan, Shin, Yung Xin, Poon, Yeong Shian, Yang, Zhou, Chong, Chun Yong, Lo, David, Lim, Mei Kuan
Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of imperfections in Artificial Intelligence Generated Content (AIGC) Dete
Externí odkaz:
http://arxiv.org/abs/2401.03676
Autor:
Lau, Julia Kaiwen, Kong, Kelvin Kai Wen, Yong, Julian Hao, Tan, Per Hoong, Yang, Zhou, Yong, Zi Qian, Low, Joshua Chern Wey, Chong, Chun Yong, Lim, Mei Kuan, Lo, David
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. However, the failures uncovered by synthetic test cases may not refle
Externí odkaz:
http://arxiv.org/abs/2305.17445
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 controlled environments, they normally deliver good performance. Howeve
Externí odkaz:
http://arxiv.org/abs/2303.04566
Autor:
Yuen, Daniel Hao Xian, Pang, Andrew Yong Chen, Yang, Zhou, Chong, Chun Yong, Lim, Mei Kuan, Lo, David
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 of great importance. This paper proposes ASDF, an Automated Speech Re
Externí odkaz:
http://arxiv.org/abs/2302.05582
Conventional approaches to identify depression are not scalable, and the public has limited awareness of mental health, especially in developing countries. As evident by recent studies, social media has the potential to complement mental health scree
Externí odkaz:
http://arxiv.org/abs/2207.14535
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 deepfakes can be maliciously used to create misleading and harmful digital
Externí odkaz:
http://arxiv.org/abs/2204.08612
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 primary motivation for this work is to evaluate how deepfake detection mode
Externí odkaz:
http://arxiv.org/abs/2203.06825
Synthesising photo-realistic images from natural language is one of the challenging problems in computer vision. Over the past decade, a number of approaches have been proposed, of which the improved Stacked Generative Adversarial Network (StackGAN-v
Externí odkaz:
http://arxiv.org/abs/2103.02870
Publikováno v:
In Journal of Hydrology January 2024 628
Autor:
Khoo, Lin Sze1 (AUTHOR) lin.khoo@monash.edu, Lim, Mei Kuan2 (AUTHOR) lim.meikuan@monash.edu, Chong, Chun Yong2 (AUTHOR) chong.chunyong@monash.edu, McNaney, Roisin1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jan2024, Vol. 24 Issue 2, p348. 65p.