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20142026
most citedRefined Particle Swarm Intelligence Method for Abrupt Motion Tracking

18 citations · 21 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

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…

cs.CV2025

Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition

Muxin Pu, Mei Kuan Lim, Chun Yong Chong

Sign language recognition (SLR) refers to interpreting sign language glosses from given videos automatically. This research area presents a complex challenge in computer vision bec…

cs.CV2014

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…

cs.CV2014★ 3 cited

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…

cs.CV2014★ 18 cited

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…