Mr. Shafin Rahman

Senior Lecturer

M.Sc. in Computer Science, University of Manitoba, Canada

Office: SAC 921
Phone: +88 02 55668200 Ext – 6187

Research Areas

Research Interests

Computer vision and Machine Learning

Teaching

Selected Publications

Journals
  • Neil Bruce, Calden Wloka, Nick Frosst, Shafin Rahman and John K Tsotsos, “On Computational Modeling of Visual Saliency: Examining What’s Right, and What’s Left,” Vision Research, Vol. 116, Part B, pp. 95–112, ScienceDirect, Elsevier, 2015
  • Shafin Rahman and Neil Bruce, “Visual Saliency Prediction and Evaluation Across Different Perceptual a Tasks,” PLoS ONE, 2015
  • Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam, “Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor,” Journal of Multimedia, 2011
  • Neil D. B. Bruce, Shafin Rahman and Diana Carrier, “Sparse coding in early visual representation: From specific properties to general principles,” Neurocomputing, Vol. 171, pp. 1085–1098, ScienceDirect, Elsevier, 2016
Conference Papers
  • Shafin Rahman, Mrigank Rochan, Yang Wang and Neil Bruce, “Examining Visual Saliency Prediction in Naturalistic Scenes,” International Conference on Image Processing (ICIP), 2014
  • Shafin Rahman and Neil Bruce, “Saliency, Scale and Information: Towards a Unifying Theory,” Neural Information Processing Systems (NIPS), 2015
  • Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam, “Curvelet Texture Based Face Recognition Using Principal Component Analysis,” International Conference on Computer And Information Technology (ICCIT), 2010
  • Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam, “Performance of MPEG-7 Edge Histogram Descriptor in Face Recognition Using Principal Component Analysis,” International Conference on Computer And Information Technology (ICCIT), 2010
  • Shafin Rahman and Neil D. B. Bruce, “Factors underlying Inter-observer agreement in gaze patterns: Predictive modelling and analysis,” Symposium on Eye Tracking Research and Applications (ETRA), 2016