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Number of items: 3.

Abdulmunem, Ashwan ORCID: https://orcid.org/0000-0002-1903-9269 2017. Human action recognition using saliency-based global and local features. PhD Thesis, Cardiff University.
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Abdulmunem, Ashwan ORCID: https://orcid.org/0000-0002-1903-9269, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766 2017. 3D GLOH features for human action recognition. Presented at: International Conference on Pattern Recognition, Cancun, Mexico, 4-8 December 2016. 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, New Jersey: IEEE, pp. 805-810. 10.1109/ICPR.2016.7899734
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Abdulmunem, Ashwan ORCID: https://orcid.org/0000-0002-1903-9269, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766 2016. Saliency guided local and global descriptors for effective action recognition. Computational Visual Media 2 (1) , pp. 97-106. 10.1007/s41095-016-0033-9
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