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Exploiting Temporal Information for 3D Human Pose Estimation joint locations to estimate a sequence of 3D poses. We designed a sequence-to-sequence network composed of layer-normalized LSTM units with shortcut connections connecting the input to the output on the decoder side and imposed temporal smoothness constraint during training. We found that the knowl

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rking in academia, pharma industries, contract research organizations involved in regulatory studies, regulatory agencies and implementing agencies, and people having an interest in toxicological sciences..978-981-99-9283-6