Convolutional neural networks based on visual rhythms and adaptive fusion for a multi-channel architecture applied to human action recognition

"Convolutional neural networks based on visual rhythms and adaptive fusion for a multi-channel architecture applied to human action recognition" (PhD). Candidate: Helena de Almeida Maia. Advisor: professor Hélio Pedrini. October 27, 2020, at 14 pm, entirely remotely.

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