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Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients.

, , , and . MLSDA@PRICAI, page 19. ACM, (2014)

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Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions., , , , and . PAKDD Workshops, volume 9794 of Lecture Notes in Computer Science, page 88-100. Springer, (2016)SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks., , , , , , , and . ICPR, page 2314-2319. IEEE Computer Society, (2018)Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients., , , and . CoRR, (2015)Summarisation of short-term and long-term videos using texture and colour., , and . WACV, page 769-775. IEEE Computer Society, (2014)Towards Miss Universe Automatic Prediction: The Evening Gown Competition., , , and . CoRR, (2016)Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients., , , and . MLSDA@PRICAI, page 19. ACM, (2014)Action analysis and video summarisation to efficiently manage and interpret video data. University of Queensland, Australia, (2016)DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence., , , , , , , , and . DICTA, page 1-7. IEEE, (2018)An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images., , , , , , , , and . CVPR Workshops, page 814-820. IEEE Computer Society, (2017)Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors., , , and . PAKDD Workshops, volume 9794 of Lecture Notes in Computer Science, page 115-127. Springer, (2016)