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Richard Wildes

2 accepted papers

2020

Graph Neural Net Using Analytical Graph Filters and Topology Optimization for Image Denoising

ICASSP 2020accepted

While convolutional neural nets (CNNs) have achieved remarkable performance for a wide range of inverse imaging applications, the filter coefficients are computed in a purely data-driven manner and are not explainable. Inspired by an analytically derived CNN by Hadji et al., in this paper we constru…

Cited by 0SourceScholar
2016

Spatiotemporal Residual Networks for Video Action Recognition

NeurIPS 2016poster

Two-stream Convolutional Networks (ConvNets) have shown strong performance for human action recognition in videos. Recently, Residual Networks (ResNets) have arisen as a new technique to train extremely deep architectures. In this paper, we introduce spatiotemporal ResNets as a combination of these…