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Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition

Autor: Ray, Abhisek, Raj, Ayush, Kolekar, Maheshkumar H.

Extracting multiscale contextual information and higher-order correlations among skeleton sequences using Graph Convolutional Networks (GCNs) alone is inadequate for effective action classification. Hypergraph convolution addresses the above issues b

Externí odkaz: http://arxiv.org/abs/2411.05692

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HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network

Autor: Rajesh, Bulla, Gupta, Abhishek Kumar, Raj, Ayush, Javed, Mohammed, Dubey, Shiv Ram

Handwritten word recognition from document images using deep learning is an active research area in the field of Document Image Analysis and Recognition. In the present era of Big data, since more and more documents are being generated and archived i

Externí odkaz: http://arxiv.org/abs/2201.00947

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Propagation of polarized gravitational waves

Autor: Andersson, Lars, Joudioux, Jérémie, Oancea, Marius A., Raj, Ayush

Publikováno v: Phys. Rev. D 103, 044053 (2021)

The propagation of high-frequency gravitational waves can be analyzed using the geometrical optics approximation. In the case of large but finite frequencies, the geometrical optics approximation is no longer accurate, and polarization-dependent corr

Externí odkaz: http://arxiv.org/abs/2012.08363

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