Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...
Abstract: An encoder-decoder attention-based model has been employed to predict human action using a 3D skeleton-based human activity dataset. It offers and advocates a non-autoregressive approach to ...
Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...
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