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IEICE Trans

Hideki NAKAYAMA

Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation
KuanChao CHU Satoshi YAMAZAKI Hideki NAKAYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2024/09/01
Vol. E107-D  No. 9  pp. 1239-1252
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
scene graph, sgg, data transfer, feature space augmentation, 
 Summary | Full Text:PDF
Two-Path Object Knowledge Injection for Detecting Novel Objects With Single-Stage Dense Detector
KuanChao CHU Hideki NAKAYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2023/11/01
Vol. E106-D  No. 11  pp. 1868-1880
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
novel objects, single-stage detector, generative zero-shot detection, feature map augmentation, 
 Summary | Full Text:PDF
Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks
Rui YANG Raphael SHU Hideki NAKAYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2022/09/01
Vol. E105-D  No. 9  pp. 1537-1545
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
GAN, gradient penalty, local linearity, 
 Summary | Full Text:PDF
Efficient Two-Step Middle-Level Part Feature Extraction for Fine-Grained Visual Categorization
Hideki NAKAYAMA Tomoya TSUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/06/01
Vol. E99-D  No. 6  pp. 1626-1634
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
image classification, fine-grained categorization, part-based features, dimensionality reduction, 
 Summary | Full Text:PDF
Dense Sampling Low-Level Statistics of Local Features
Hideki NAKAYAMA Tatsuya HARADA Yasuo KUNIYOSHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/07/01
Vol. E93-D  No. 7  pp. 1727-1736
Type of Manuscript:  Special Section PAPER (Special Section on Machine Vision and its Applications)
Category: 
Keyword: 
scalability, local feature, dense sampling, probabilistic linear discriminant analysis, 
 Summary | Full Text:PDF