167 citations · 201 across the 11 of their papers we have counts for
9 papers · 1 filter
Text in the Dark: Extremely Low-Light Text Image Enhancement
Che-Tsung Lin, Chun Chet Ng, Zhi Qin Tan +7
Extremely low-light text images are common in natural scenes, making scene text detection and recognition challenging. One solution is to enhance these images using low-light image…
Gorgeous: Create Your Desired Character Facial Makeup from Any Ideas
Jia Wei Sii, Chee Seng Chan
Contemporary makeup transfer methods primarily focus on replicating makeup from one face to another, considerably limiting their use in creating diverse and creative character make…
IPR-NeRF: Ownership Verification meets Neural Radiance Field
Win Kent Ong, Kam Woh Ng, Chee Seng Chan +2
Neural Radiance Field (NeRF) models have gained significant attention in the computer vision community in the recent past with state-of-the-art visual quality and produced impressi…
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…
Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding
Wai Lam Hoo, Tae-Kyun Kim, Yuru Pei +1
Image understanding is an important research domain in the computer vision due to its wide real-world applications. For an image understanding framework that uses the Bag-of-Words…