155 citations · 186 across the 6 of their papers we have counts for
6 papers
SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter
Heng Ee Tay, Mei Kuan Lim, Chun Yong Chong
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 stu…
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
Hyejin Park, Taaha Waseem, Wen Qi Teo +3
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…
Crowd Behavior Analysis: A Review where Physics meets Biology
Ven Jyn Kok, Mei Kuan Lim, Chee Seng Chan
Although the traits emerged in a mass gathering are often non-deliberative, the act of mass impulse may lead to irre- vocable crowd disasters. The two-fold increase of carnage in c…
Detection of Salient Regions in Crowded Scenes
Mei Kuan Lim, Chee Seng Chan, Dorothy Monekosso +1
The increasing number of cameras and a handful of human operators to monitor the video inputs from hundreds of cameras leave the system ill equipped to fulfil the task of detecting…
Crowd Saliency Detection via Global Similarity Structure
Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy +1
It is common for CCTV operators to overlook inter- esting events taking place within the crowd due to large number of people in the crowded scene (i.e. marathon, rally). Thus, ther…
Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking
Mei Kuan Lim, Chee Seng Chan, Dorothy Monekosso +1
Conventional tracking solutions are not feasible in handling abrupt motion as they are based on smooth motion assumption or an accurate motion model. Abrupt motion is not subject t…