The last few weeks in Minneapolis have been completely chaotic. Federal agents were deployed to the city to take charge ...
Abstract: In order to automatically generate multiple labels for the event text of the Chinese government hotline, this paper propose a multi-label classification framework based on graph ...
Abstract: Graph convolutional networks (GCNs) have shown great potential for few-shot hyperspectral image (HSI) classification. Mainstream GCNs construct graphs according to single-scale segmentation, ...
Qt and Pytorch implementation for our paper "GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks" (ACM Transactions on Graphics 2022) We propose GCN-Denoiser, a novel feature-preserving ...
This repository hosts the official PyTorch implementation of our paper "Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition" accepted at IEEE FG 2021.
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