Motion-Driven Spatial and Temporal Adaptive High-Resolution Graph Convolutional Networks for Skeleton-Based Action Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3217763
Abstract: Graph convolutional networks (GCN) have attracted increasing interest in action recognition in recent years. GCN models human skeleton sequences as spatio-temporal graphs. Also, attention mechanisms are often jointly used with GCNs to highlight important frames… read more here.
Keywords: motion driven; action recognition; high resolution; spatial temporal ... See more keywords
A Unified Pansharpening Method With Structure Tensor Driven Spatial Consistency and Deep Plug-and-Play Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3225563
Abstract: Pansharpening is to generate a high-resolution multispectral (HRMS) image by preserving the spectral information from a low-resolution multispectral (LRMS) image and the spatial content from a panchromatic (PAN) image. This article proposes a unified pansharpening… read more here.
Keywords: tensor driven; structure tensor; driven spatial; method ... See more keywords