Staff profile

Chapter in book

• ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
  
  Vijendran, M., Li, F. W. B., Deng, J., & Shum, H. P. H. (in press). ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification. In CCIS ’24: Communications in Computer and Information Science. Springer.

Conference Paper

• Tackling Data Bias in Painting Classification with Style Transfer
  
  Vijendran, M., Li, F. W., & Shum, H. P. (2023). Tackling Data Bias in Painting Classification with Style Transfer. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP (pp. 250-261). SciTePress. https://doi.org/10.5220/0011776600003417

Journal Article

• Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey
  
  Vijendran, M., Deng, J., Chen, S., Ho, E. S. L., & Shum, H. P. H. (2025). Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey. Artificial Intelligence Review, 58(2), Article 64. https://doi.org/10.1007/s10462-024-11051-3