Centre for Visual Computing (CVC)
Research Centre
About Us
The Centre for Visual Computing (CVC) is a cross-faculty research centre focusing on enabling computers to perceive, process, analyze, understand and model visual data such as images and videos to solve problems in the age of Visual Big Data. CVC aims to be a premier research centre that conducts fundamental and applied research, disseminates knowledge, and drives extensive collaborations with international institutions and the industry. CVC spearheads R&D work to develop core technologies in visual computing, particularly in the following sub-areas:
- Visual Processing & Learning
- Medical Imaging
- Multimedia Analytics and Immersion
Members
Visual Processing & Learning
Research Areas:
- Machine Learning & Deep Learning
- Computational Art & Photography
- Face & Gesture Recognition
- Visual Surveillance
Assoc. Prof. Dr. Wong Lai Kuan
Chairperson
Subdomain:
Medical Imaging
Research Areas:
- Medical Image Segmentation
- Medical Image Retrieval
- Computer-Assisted Analysis, Diagnostics & Tools
- Biomedical Signal Processing
Subdomain:
Multimedia Analytics & Immersion
Research Areas:
- 3D & 360 Video Processing
- Virtual & Augmented Reality
- Multimedia Analytics & Visualizations
