Takio Kurita

Takio Kurita

Hiroshima University

H-index: 39

Asia-Japan

About Takio Kurita

Takio Kurita, With an exceptional h-index of 39 and a recent h-index of 21 (since 2020), a distinguished researcher at Hiroshima University, specializes in the field of pattern recognition, neural networks, deep learning, machine learning, face recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Nonlinear dimensionality reduction with q-Gaussian distribution

Improved Head and Data Augmentation to Reduce Artifacts at Grid Boundaries in Object Detection

Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels

Facial Image Manipulation via Discriminative Decomposition of Semantic Space

Image Inpainting for Large and Irregular Mask Based on Partial Convolution and Cross Semantic Attention

Convolutional autoencoder based on latent subspace projection for anomaly detection

Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels

An Object Detection Method Using Probability Maps for Instance Segmentation to Mask Background

Takio Kurita Information

University

Position

___

Citations(all)

7362

Citations(since 2020)

2120

Cited By

5806

hIndex(all)

39

hIndex(since 2020)

21

i10Index(all)

127

i10Index(since 2020)

43

Email

University Profile Page

Hiroshima University

Google Scholar

View Google Scholar Profile

Takio Kurita Skills & Research Interests

pattern recognition

neural networks

deep learning

machine learning

face recognition

Top articles of Takio Kurita

Title

Journal

Author(s)

Publication Date

Nonlinear dimensionality reduction with q-Gaussian distribution

Pattern Analysis and Applications

Motoshi Abe

Yuichiro Nomura

Takio Kurita

2024/3

Improved Head and Data Augmentation to Reduce Artifacts at Grid Boundaries in Object Detection

IEICE TRANSACTIONS on Information and Systems

Shinji Uchinoura

Takio Kurita

2024/1/1

Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels

Kohei Fukuda

Takio Kurita

Hiroaki Aizawa

2023/6/18

Facial Image Manipulation via Discriminative Decomposition of Semantic Space

Jiazhou Zheng

Hiroaki Aizawa

Takio Kurita

2023/6/18

Image Inpainting for Large and Irregular Mask Based on Partial Convolution and Cross Semantic Attention

Yin Wang

Hiroaki Aizawa

Takio Kurita

2023/11/5

Convolutional autoencoder based on latent subspace projection for anomaly detection

Methods

Qien Yu

Chen Li

Ye Zhu

Takio Kurita

2023/6/1

Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels

International Journal on Artificial Intelligence Tools

Yuichiro Nomura

Takio Kurita

2023/2/14

An Object Detection Method Using Probability Maps for Instance Segmentation to Mask Background

Journal of Advanced Computational Intelligence and Intelligent Informatics

Shinji Uchinoura

Junichi Miyao

Takio Kurita

2023/9/20

Attention-effective multiple instance learning on weakly stem cell colony segmentation

Intelligent Systems with Applications

Novanto Yudistira

Muthu Subash Kavitha

Jeny Rajan

Takio Kurita

2023/2/1

近傍情報を取り入れたインスタンスセグメンテーションの精細化について

電気学会研究会資料. PI= The papers of Technical Meeting on" Perception Information", IEE Japan,/知覚情報研究会 [編]

内之浦伸治, 栗田多喜夫

2023/8/21

q-Softplus Function: Extensions of Activation Function and Loss Function by Using q-Space

Motoshi Abe

Takio Kurita

2022

Supervised Learning for Convolutional Neural Network with Barlow Twins

Ramyaa Murugan

Jonathan Mojoo

Takio Kurita

2022/9/6

Additional Learning for Joint Probability Distribution Matching in BiGAN

Jiazhou Zheng

Hiroaki Aizawa

Takio Kurita

2022/11/22

Summary of Works on Image Classification with Noisy Labels

Yuichiro Nomura

Takio Kurita

2022/5/15

Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder

Hidenori Ide

Hiromu Fujishige

Junichi Miyao

Takio Kurita

2022/2/21

Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection

Neural Computing & Applications

Yu Qien

Kavitha Muthu Subash

Kurita Takio

2022

Optimization of Re-ranking Based on k-Reciprocal for Vehicle Re-identification

Simin Liu

Yuta Konishi

Junichi Miyao

Takio Kurita

2022/2/21

Graph laplacian regularization based on the differences of neighboring pixels for conditional convolutions for instance segmentation

Shinji Uchinoura

Takio Kurita

2022/8/21

Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels

IEICE TRANSACTIONS on Information and Systems

Yuichiro Nomura

Takio Kurita

2022/10/1

Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation

Lukman Hakim

Takio Kurita

2022/5/15

See List of Professors in Takio Kurita University(Hiroshima University)

Co-Authors

H-index: 45
Byeong-Cheol Ahn

Byeong-Cheol Ahn

Kyungpook National University

H-index: 34
Takashi Takahashi / 高橋隆史

Takashi Takahashi / 高橋隆史

Ryukoku University

H-index: 25
Luc Berthouze

Luc Berthouze

University of Sussex

H-index: 21
Kazuhiro Hotta / 堀田一弘

Kazuhiro Hotta / 堀田一弘

Meijo University

H-index: 19
Agus Zainal Arifin

Agus Zainal Arifin

Institut Teknologi Sepuluh Nopember

H-index: 19
Toru Tamaki

Toru Tamaki

Nagoya Institute of Technology

academic-engine