Human actions in videos are three-dimensional (3D) signals. Recent attempts use 3D convolutional neural networks (CNNs) to explore spatio-temporal information for human action recognition. Though ...

The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on planar X-ray image(s) is related to the quality of the image correspondences between the digitally reconstructed ...

Real-Time end-to-end 2D-to-3D Video Conversion, based on deep learning. Inspired by piiswrong/deep3d, we rebuild the network on pytorch and optimize it in time domain and faster inference speed. So, ...

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