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20162026
most citedModeling the Variability of Active Galactic Nuclei by Infinite Mixture of Ornstein-Uhlenbeck(OU) Processes

16 citations · 69 across the 33 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

eess.IV2019★ 7 cited

Multi-Stage Pathological Image Classification using Semantic Segmentation

Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta +5

Histopathological image analysis is an essential process for the discovery of diseases such as cancer. However, it is challenging to train CNN on whole slide images (WSIs) of gigap…

cs.LG2019★ 1 cited

Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds

Kosuke Arase, Yusuke Mukuta, Tatsuya Harada

Instance segmentation on 3D point clouds is one of the most extensively researched areas toward the realization of autonomous cars and robots. Certain existing studies have split i…

cs.CV2019★ 1 cited

Compact Approximation for Polynomial of Covariance Feature

Yusuke Mukuta, Tatsuaki Machida, Tatsuya Harada

Covariance pooling is a feature pooling method with good classification accuracy. Because covariance features consist of second-order statistics, the scale of the feature elements…

cs.LG2019★ 2 cited

Scalable Generative Models for Graphs with Graph Attention Mechanism

Wataru Kawai, Yusuke Mukuta, Tatsuya Harada

Graphs are ubiquitous real-world data structures, and generative models that approximate distributions over graphs and derive new samples from them have significant importance. Amo…

cs.CV2019

Invariant Feature Coding using Tensor Product Representation

Yusuke Mukuta, Tatsuya Harada

In this study, a novel feature coding method that exploits invariance for transformations represented by a finite group of orthogonal matrices is proposed. We prove that the group-…

cs.CV2019★ 1 cited

Long-Term Human Video Generation of Multiple Futures Using Poses

Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta +1

Predicting future human behavior from an input human video is a useful task for applications such as autonomous driving and robotics. While most previous works predict a single fut…

cs.CL2019

End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations

Keisuke Hagiwara, Yusuke Mukuta, Tatsuya Harada

So far, research to generate captions from images has been carried out from the viewpoint that a caption holds sufficient information for an image. If it is possible to generate an…