CVIC - Centre for Visual and Immersive Computing

Find us here

Organization profile

Profile Information

The Centre for Visual and Immersive Computing (CVIC) focuses on regional and international dimensions of knowledge/technology innovation, application and practice development, academic networking, and social service innovation. It investigates research concepts, algorithms and systems in VIV domains for the development of seamless communication mechanisms between humans and computer systems. Examples include the use of image processing to detect security threats from CCTV and the application of cognitive and engineering psychology to facilitate human behaviour in socio-technical systems. The vision of the centre for the next 5 years can be summarised as:

  • Establishing a shared research vision and strengthening a united team spirit
  • Forming a long-term and sustainable research strategy
  • Developing collaborative and interdisciplinary research initiatives
  • Nurturing early career researchers and postgraduate students

Fingerprint

Dive into the research topics where CVIC - Centre for Visual and Immersive Computing is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or
  • Hierarchical visual localization for visually impaired people using multimodal images

    Cheng, R., Hu, W., Chen, H., Fang, Y., Wang, K., Xu, Z. & Bai, J., 1 Mar 2021, In: Expert Systems with Applications. 165, 12 p., 113743.

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)
  • An Algorithm Combining the Branch-Cut Method and Rhombus Phase Unwrapping Algorithm

    Jiang, H., Xu, Y., Zhang, C., Xu, Z., Huang, J., Tan, H. & Lu, J., 13 Oct 2020, In: Journal of Physics: Conference Series. 1634, 1, 7 p., 012068.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • An Augmented Treble Stream Deep Neural Network for Video Analysis

    Zhang, C., Xu, Y., Xu, Z., Gong, M., Guo, B. & Yao, D., 7 Sep 2020, 2020 24th International Conference Information Visualisation, IV 2020: AI & Analytics, Biomedical Visualization , Builtviz, and Geometric Modelling & Imaging. Banissi, E., Khosrow-Shahi, F., Ursyn, A., McK. Bannatyne, M. W., Pires, J. M., Datia, N., Nazemi, K., Kovalerchuk, B., Counsell, J., Agapiou, A., Vrcelj, Z., Chau, H-W., Li, M., Nagy, G., Laing, R., Francese, R., Sarfraz, M., Bouali, F., Venturin, G., Trutschl, M., Cvek, U., Muller, H., Nakayama, M., Temperini, M., Di Mascio, T., Rossano, F. S. V. R., Dorner, R., Caruccio, L., Vitiello, A., Huang, W., Risi, M., Erra, U., Andonie, R., Ahmad, M. A., Figueiras, A. & Mabakane, M. S. (eds.). IEEE, p. 301-306 6 p. 9373098. (IEEE Symposium on Information Visualization; vol. 2020-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review