Hideki Nakayama
Hideki Nakayama
The University of Tokyo, Associate Professor
Verified email at ci.i.u-tokyo.ac.jp - Homepage
TitleCited byYear
Global gaussian approach for scene categorization using information geometry
H Nakayama, T Harada, Y Kuniyoshi
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Annotation order matters: Recurrent image annotator for arbitrary length image tagging
J Jin, H Nakayama
2016 23rd International Conference on Pattern Recognition (ICPR), 2452-2457, 2016
Multimodal gesture recognition using multi-stream recurrent neural network
N Nishida, H Nakayama
Image and Video Technology, 682-694, 2015
Compressing Word Embeddings via Deep Compositional Code Learning
R Shu, H Nakayama
International Conference for Learning Representations (ICLR), 2018
Journalist robot: Robot system making news articles from real world
R Matsumoto, H Nakayama, T Harada, Y Kuniyoshi
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
GAN-based synthetic brain MR image generation
C Han, H Hayashi, L Rundo, R Araki, W Shimoda, S Muramatsu, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Zero-resource machine translation by multimodal encoder–decoder network with multimedia pivot
H Nakayama, N Nishida
Machine Translation 31 (1-2), 49-64, 2017
Improving local descriptors by embedding global and local spatial information
T Harada, H Nakayama, Y Kuniyoshi
European Conference on Computer Vision, 736-749, 2010
Deep learning for forecasting stock returns in the cross-section
M Abe, H Nakayama
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 273-284, 2018
Linear distance metric Learning for large-scale generic image recognition
H Nakayama
PhD thesis, The University of Tokyo, Japan, 2011
Correspondence learning apparatus and method and correspondence learning program, annotation apparatus and method and annotation program, and retrieval apparatus and method and …
T Harada, H Nakayama, R Matsumoto, Y Kuniyoshi, N Otsu
US Patent 8,423,485, 2013
信学技報 115 (146), 55-59, 2015
High-speed 3D object recognition using additive features in a linear subspace.
A Kanezaki, H Nakayama, T Harada, Y Kuniyoshi
IEEE International Conference on Robotics and Automation (ICRA), 3128-3134, 2010
Ai goggles: Real-time description and retrieval in the real world with online learning
H Nakayama, T Harada, Y Kuniyoshi
2009 Canadian Conference on Computer and Robot Vision, 184-191, 2009
Evaluation of dimensionality reduction methods for image auto-annotation
H Nakayama
British Machine Vision Conference (BMVC), 2010
Image annotation and retrieval based on efficient learning of contextual latent space
T Harada, H Nakayama, Y Kuniyoshi
2009 IEEE International Conference on Multimedia and Expo, 858-861, 2009
Image-mediated learning for zero-shot cross-lingual document retrieval
R Funaki, H Nakayama
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
High-performance image annotation and retrieval for weakly labeled images using latent space learning
H Nakayama, T Harada, Y Kuniyoshi, N Otsu
Pacific-Rim Conference on Multimedia, 601-610, 2008
Image annotation and retrieval for weakly labeled images using conceptual learning
T Harada, H Nakayama, Y Kuniyoshi, N Otsu
New Generation Computing 28 (3), 277-298, 2010
Dense sampling low-level statistics of local features
H Nakayama, T Harada, Y Kuniyoshi
IEICE TRANSACTIONS on Information and Systems 93 (7), 1727-1736, 2010
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Articles 1–20