8 citations · 17 across the 5 of their papers we have counts for
9 papers
Neural Star Domain as Primitive Representation
Yuki Kawana, Yusuke Mukuta, Tatsuya Harada
Reconstructing 3D objects from 2D images is a fundamental task in computer vision. Accurate structured reconstruction by parsimonious and semantic primitive representation further…
Hyperbolic Neural Networks++
Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada
Hyperbolic spaces, which have the capacity to embed tree structures without distortion owing to their exponential volume growth, have recently been applied to machine learning to b…
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…
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…
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…
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…