| Crowd behavior analysis: A review where physics meets biology VJ Kok, MK Lim, CS Chan Neurocomputing 177, 342-362, 2016 | 161 | 2016 |
| iSurveillance: Intelligent framework for multiple events detection in surveillance videos MK Lim, S Tang, CS Chan Expert Systems with Applications 41 (10), 4704-4715, 2014 | 64 | 2014 |
| Crowd saliency detection via global similarity structure MK Lim, VJ Kok, CC Loy, CS Chan Pattern Recognition (ICPR), 2014 22nd International Conference on, 3957-3962, 2014 | 48 | 2014 |
| Colour-based object tracking in surveillance application TS Ling, LK Meng, LM Kuan, Z Kadim, AAB Al-Deen Proceedings of the International MultiConference of Engineers and Computer …, 2009 | 39 | 2009 |
| Execution time prediction of imperative paradigm tasks for grid scheduling optimization M Kiran, AHA Hashim, LM Kuan, YY Jiun International Journal of Computer Science and Network Security 9 (2), 155-163, 2009 | 38 | 2009 |
| A comprehensive overview of Deepfake: generation, detection, datasets, and opportunities JW Seow, MK Lim, RCW Phan, JK Liu Neurocomputing, 2022 | 34 | 2022 |
| Hybrid blob and particle filter tracking approach for robust object tracking SL Tang, Z Kadim, KM Liang, MK Lim Procedia Computer Science 1 (1), 2549-2557, 2010 | 28 | 2010 |
| Implementing image processing algorithms using ‘Hardware in the loop’approach for Xilinx FPGA M Kiran, KM War, LM Kuan, LK Meng, LW Kin Electronic Design, 2008. ICED 2008. International Conference on, 1-6, 2008 | 24 | 2008 |
| Refined particle swarm intelligence method for abrupt motion tracking MK Lim, CS Chan, D Monekosso, P Remagnino Information Sciences 283, 267-287, 2014 | 21 | 2014 |
| A prediction module to optimize scheduling in a grid computing environment M Kiran, AH Abdalla, YY Jiun, LM Kuan Computer and Communication Engineering, 2008. ICCCE 2008. International …, 2008 | 16 | 2008 |
| Detection of salient regions in crowded scenes MK Lim, CS Chan, D Monekosso, P Remagnino Electronics Letters 50 (5), 363-365, 2014 | 15 | 2014 |
| Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing M Pu, MY Kuan, NT Lim, CY Chong, MK Lim arXiv preprint arXiv:2203.06825, 2022 | 14 | 2022 |
| SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker. MK Lim, CS Chan, DN Monekosso, P Remagnino MVA, 37-40, 2013 | 10 | 2013 |
| Investigations into particle swarm optimization for multi-class shape recognition EL Ng, MK Lim, T Maul, WK Lai International Conference on Neural Information Processing, 599-606, 2008 | 6 | 2008 |
| Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing H Park, T Waseem, WQ Teo, YH Low, MK Lim, CY Chong 2021 IEEE/ACM 6th International Workshop on Metamorphic Testing (MET), 1-8, 2021 | 4 | 2021 |
| Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors NT Lim, MY Kuan, M Pu, MK Lim, CY Chong arXiv preprint arXiv:2204.08612, 2022 | 3 | 2022 |
| SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter HE Tay, MK Lim, CY Chong arXiv preprint arXiv:2207.14535, 2022 | 2 | 2022 |
| Perspective-Aware Loss Function for Crowd Density Estimation B Yilmaz, VJ Kok, MK Lim, SNHS Abdullah 2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019 | 2 | 2019 |
| Abnormal event detection in video surveillance/Lim Mei Kuan MK Lim University of Malaya, 2014 | 2 | 2014 |
| Optimising Search Operations with Swarm Intelligence NC Hou, LW Han, LM Kuan 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | | 2019 |
