13 citations · 17 across the 7 of their papers we have counts for
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eess.IV2020
Image Super-Resolution using Explicit Perceptual Loss
Tomoki Yoshida, Kazutoshi Akita, Muhammad Haris +1
This paper proposes an explicit way to optimize the super-resolution network for generating visually pleasing images. The previous approaches use several loss functions which is ha…
stat.ML2020★ 13 cited
Distance Metric Learning for Graph Structured Data
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Graphs are versatile tools for representing structured data. As a result, a variety of machine learning methods have been studied for graph data analysis. Although many such learni…