Makiese Mibulumukini holds an engineer degree on Microelectronics systems for Telecommunications and Industrial Computing from FST Fès (Morocco) since July 2011. The subject of his Master thesis was the development of a robust facial recognition system. His researches are based on biologically inspired algorithms and neuropsychological models.
In November 2011, Makiese Mibulumukini started a PhD thesis at UMons in the field of visual attention, especially on Top-down axis. He did his research in visual attention during 3 years and he left the lab for working in personal project in live webcasting.
More details on Computational Attention can be found on this dedicated page. Part of this research is done for artisitic purposes within the numediart institute.
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Regular Papers in Journals
N. RICHE, M. MANCAS, M. DUVINAGE, M. MIBULUMUKINI, B. GOSSELIN, T. DUTOIT, 2013,
"RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis",
Signal Processing: Image Communication,
Papers in Conference Proceedings
M. MIBULUMUKINI, N. RICHE, M. MANCAS, B. GOSSELIN, T. DUTOIT, 2013,
"Biologically Plausible Context Recognition Algorithms",
Proceedings of the International Conference on Image Processing (IEEE ICIP 2013),
Melbourne, Australia, September 15-18.
M. MIBULUMUKINI, 2011,
"De la perception des images à l’algorithme Log-Gabor PCA",
Workshop sur les Technologies de l'Information et de la Communication (WOTIC'11),
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