Mei Kuan Lim

According to our database, Mei Kuan Lim authored at least 29 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches.

Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, Roisin McNaney

Sensors, January, 2024

Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education.

Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim

CoRR, 2024

2023

Effective UAV patrolling for swarm of intruders with heterogeneous behavior.

Ali Moltajaei Farid, Mei Kuan Lim, Md. Abdus Samad Kamal, Koksheik Wong

Robotica, June, 2023

Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches.

Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2023

Preprocessing Variations for Classification in Smart Manufacturing.

Brian Jing Hong Nge, Caleb En Hong Tan, Yi Zhen Nicholas Wong, Christine Chia Yi Chiong, Chun Yong Chong, Mei Kuan Lim, Weng Kin Lai

Proceedings of the ACM Multimedia Asia Workshops, 2023

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, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems.

Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing.

Muxin Pu, Chun Yong Chong, Mei Kuan Lim

Proceedings of the 8th IEEE/ACM International Workshop on Metamorphic Testing, 2023

Towards Discrete Object Representations in Vision Transformers with Tensor Products.

Wei Yuen Teh, Chern Hong Lim, Mei Kuan Lim, Ian K. T. Tan

Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

Facial Expression Recognition as markers of Depression.

Jia Xuan Gue, Chun Yong Chong, Mei Kuan Lim

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities.

Jia Wen Seow, Mei Kuan Lim, Raphaël C.-W. Phan, Joseph K. Liu

Neurocomputing, 2022

On the application of machine learning models to assess and predict software reusability.

Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim

Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2022

Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing.

Muxin Pu, Meng Yi Kuan, Nyee Thoang Lim, Chun Yong Chong, Mei Kuan Lim

Proceedings of the IEEE/ACM 7th International Workshop on Metamorphic Testing, 2022

SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter.

Heng Ee Tay, Mei Kuan Lim, Chun Yong Chong

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors.

Nyee Thoang Lim, Meng Yi Kuan, Muxin Pu, Mei Kuan Lim, Chun Yong Chong

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing.

Hyejin Park, Taaha Waseem, Wen Qi Teo, Ying Hwei Low, Mei Kuan Lim, Chun Yong Chong

Proceedings of the 6th IEEE/ACM International Workshop on Metamorphic Testing, 2021

2019

Perspective-Aware Loss Function for Crowd Density Estimation.

Bedir Yilmaz, Ven Jyn Kok, Mei Kuan Lim, Siti Norul Huda Sheikh Abdullah

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Optimising Search Operations with Swarm Intelligence.

Ng Chung Hou, Lim Wern Han, Mei Kuan Lim

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2016

Crowd behavior analysis: A review where physics meets biology.

Ven Jyn Kok, Mei Kuan Lim, Chee Seng Chan

Neurocomputing, 2016

2014

Refined particle swarm intelligence method for abrupt motion tracking.

Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino

Inf. Sci., 2014

iSurveillance: Intelligent framework for multiple events detection in surveillance videos.

Mei Kuan Lim, Sze Ling Tang, Chee Seng Chan

Expert Syst. Appl., 2014

Detection of Salient Regions in Crowded Scenes.

Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino

CoRR, 2014

Crowd Saliency Detection via Global Similarity Structure.

Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy, Chee Seng Chan

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker.

Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino

Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

The Visual Object Tracking VOT2013 Challenge Results.

Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2010

Hybrid blob and particle filter tracking approach for robust object tracking.

Sze Ling Tang, Zulaikha Kadim, Kim Meng Liang, Mei Kuan Lim

Proceedings of the International Conference on Computational Science, 2010

Real-time estimation of point-of-interest in video surveillance based on visual fixation.

Mei Kuan Lim, Sze Ling Tang, Zulaikha Kadim, Ahmed A. Al-Obaidi, Norshuhada Samudin, Kim Meng Liang

Proceedings of the 10th International Conference on Information Sciences, 2010

Hybrid particle swarm optimisation for data clustering.

Sing Loong Teng, Chee Seng Chan, Mei Kuan Lim, Weng Kin Lai

Proceedings of the Second International Conference on Digital Image Processing, 2010

2008

Investigations into Particle Swarm Optimization for Multi-class Shape Recognition.

Ee Lee Ng, Mei Kuan Lim, Tomás Maul, Weng-Kin Lai

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008