Center for Visual Computing (CVC)

Center for Visual Computing (CVC)

Research Centre

About Us

The Center for Visual Computing (CVC) is a cross-faculty research center 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 center 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
Address:
The Center for Visual Computing (CVC),
Faculty of Computing & Informatics,
Multimedia University Persiaran Multimedia,
63100 Cyberjaya,
Selangor, Malaysia


Contact: lkwong@mmu.edu.my

Members

Subdomain:
Visual Processing & Learning

Research Areas:

  • Machine Learning & Deep Learning
  • Computational Art & Photography
  • Face & Gesture Recognition
  • Visual Surveillance

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