23 citations · 41 across the 7 of their papers we have counts for
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cs.CV2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Yang Li, Yuichi Tanaka
In this paper, we propose a spatial graph convolution (GC) to classify signals on a graph. Existing GC methods are limited to using the structural information in the feature space.…
eess.SP2021★ 23 cited
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka +2
Graph signal processing is a ubiquitous task in many applications such as sensor, social, transportation and brain networks, point cloud processing, and graph neural networks. Ofte…
cs.CV2021★ 17 cited
Marine Snow Removal Benchmarking Dataset
Reina Kaneko, Yuya Sato, Takumi Ueda +2
This paper introduces a new benchmarking dataset for marine snow removal of underwater images. Marine snow is one of the main degradation sources of underwater images that are caus…