Syed Saud Naqvi
Please Note
This person can no longer be contacted through the School of Engineering and Computer Science at Victoria University of Wellington
Courses Tutored
NWEN 242-Computer Organisation
ENGR 121-Engineering Mathematics Foundations
Selected Publications
Naqvi, Syed S., Will N. Browne, and Christopher Hollitt. "Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency."
Simulated Evolution and Learning. Springer International Publishing, 2014. 822-834.
Muhammad Iqbal, Syed S. Naqvi, Will N. Browne, Christopher Hollitt, and Mengjie Zhang. 2014. Salient object detection using learning classifiersystems that compute action mappings. In
Proceedings of the 2014 conference on Genetic and evolutionary computation (GECCO '14). ACM, New York, NY, USA, 525-532. (Best Paper Award: EML track)
Naqvi, S.S.; Browne, W.N.; Hollitt, C., "Genetic algorithms based feature combination for salient object detection, for autonomously identified image domain types,"
Evolutionary Computation (CEC), 2014 IEEE Congress on , vol., no., pp.109,116, 6-11 July 2014 doi: 10.1109/CEC.2014.6900659
Naqvi, S.S.; Browne, W.N.; Hollitt, C., "Combining object-based local and global feature statistics for salient object search,"
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of , vol., no., pp.394,399, 27-29 Nov. 2013 doi: 10.1109/IVCNZ.2013.6727047
Naqvi, S.S.; Browne, W.N.; Hollitt, C., "Optimizing visual attention models for predicting human fixations using Genetic Algorithms,"
Evolutionary Computation (CEC), 2013 IEEE Congress on , vol., no., pp.1302,1309, 20-23 June 2013 doi: 10.1109/CEC.2013.6557715
Syed Saud Naqvi, Will Browne and Christopher Hollitt,
Optimizing Bio-Inspired Visual Attention Model Using Genetic Algorithm For Predicting Human Fixations, NZCSRSC 2013 Hamilton New Zealand (Best paper Award; prize money1500$)
For more publications and further information please refer to google scholar profile at:
http://scholar.google.co.nz/citations?user=exCpbWkAAAAJ&hl=en
