Hideki Nakayama

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Changhee HanCEO, Callisto (カリスト株式会社)Patvirtintas el. paštas callisto-ai.com
Leonardo RundoAssociate Professor, University of SalernoPatvirtintas el. paštas unisa.it
Raphael ShuThe University of TokyoPatvirtintas el. paštas uaca.com
Tatsuya HaradaThe University of TokyoPatvirtintas el. paštas mi.t.u-tokyo.ac.jp
Giancarlo MauriProfessor emeritus of Computer Science - University of Milano-BicoccaPatvirtintas el. paštas unimib.it
Yasuo KuniyoshiSchool of Information Science and Technology, The University of TokyoPatvirtintas el. paštas isi.imi.i.u-tokyo.ac.jp
Minh-Duc VoThe University of TokyoPatvirtintas el. paštas nlab.ci.i.u-tokyo.ac.jp
Ryuichiro HatayaPatvirtintas el. paštas riken.jp
Noriki NishidaRIKEN Center for Advanced Intelligence Project (AIP)Patvirtintas el. paštas nlab.ci.i.u-tokyo.ac.jp
Jan ZdenekCyberAgentPatvirtintas el. paštas cyberagent.co.jp
Kohei MuraoNational Institute of InformaticsPatvirtintas el. paštas nii.ac.jp
HAYASHI, HideakiOsaka UniversityPatvirtintas el. paštas ids.osaka-u.ac.jp
Shin'ichi SatohNational Institute of InformaticsPatvirtintas el. paštas nii.ac.jp
Kazuki YoshizoeKyushu UniversityPatvirtintas el. paštas cc.kyushu-u.ac.jp
Salvatore VitabileUniversity of Palermo, ItalyPatvirtintas el. paštas unipa.it
Marco S. NobileAssociate Professor, Ca' Foscari University of VenicePatvirtintas el. paštas unive.it
Claudio FerrettiAssociate Professor of Computer Science, Milano-Bicocca UniversityPatvirtintas el. paštas disco.unimib.it
Kyunghyun ChoNew York University, GenentechPatvirtintas el. paštas nyu.edu
Yo EharaAssoc. Prof., Tokyo Gakugei UniversityPatvirtintas el. paštas yoehara.com
Sang PhanAscent Robotics IncPatvirtintas el. paštas ascent.ai

Stebėti

Hideki Nakayama

The University of Tokyo, Professor

Patvirtintas el. paštas g.ecc.u-tokyo.ac.jp - Pagrindinis puslapis

Computer Vision Natural Language Processing Multimedia Machine Learning Deep Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	473	2018
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets L Rundo, C Han, Y Nagano, J Zhang, R Hataya, C Militello, A Tangherloni, ... Neurocomputing 365, 31-43, 2019	275	2019
Faster autoaugment: Learning augmentation strategies using backpropagation R Hataya, J Zdenek, K Yoshizoe, H Nakayama Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	260	2020
Combining noise-to-image and image-to-image GANs: Brain MR image augmentation for tumor detection C Han, L Rundo, R Araki, Y Nagano, Y Furukawa, G Mauri, H Nakayama, ... Ieee Access 7, 156966-156977, 2019	250	2019
MADGAN: Unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction C Han, L Rundo, K Murao, T Noguchi, Y Shimahara, ZÁ Milacski, ... BMC bioinformatics 22, 1-20, 2021	216	2021
Overview of the 8th workshop on Asian translation T Nakazawa, H Nakayama, C Ding, R Dabre, S Higashiyama, H Mino, ... Proceedings of the 8th Workshop on Asian Translation, Bangkok, Thailand …, 2021	192	2021
Compressing Word Embeddings via Deep Compositional Code Learning R Shu, H Nakayama International Conference for Learning Representations (ICLR), 2018	160	2018
Deep learning for forecasting stock returns in the cross-section M Abe, H Nakayama Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018	158	2018
Synthesizing diverse lung nodules wherever massively: 3D multi-conditional GAN-based CT image augmentation for object detection C Han, Y Kitamura, A Kudo, A Ichinose, L Rundo, Y Furukawa, ... 2019 International Conference on 3D Vision (3DV), 729-737, 2019	152	2019
Learning more with less: Conditional PGGAN-based data augmentation for brain metastases detection using highly-rough annotation on MR images C Han, K Murao, T Noguchi, Y Kawata, F Uchiyama, L Rundo, ... Proceedings of the 28th ACM international conference on information and …, 2019	150	2019
Latent-variable non-autoregressive neural machine translation with deterministic inference using a delta posterior R Shu, J Lee, H Nakayama, K Cho Proceedings of the aaai conference on artificial intelligence 34 (05), 8846-8853, 2020	126	2020
Infinite brain MR images: PGGAN-based data augmentation for tumor detection C Han, L Rundo, R Araki, Y Furukawa, G Mauri, H Nakayama, H Hayashi Neural approaches to dynamics of signal exchanges, 291-303, 2019	124	2019
深層畳み込みニューラルネットワークによる画像特徴抽出と転移学習中山英樹信学技報 115 (146), 55-59, 2015	97*	2015
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	91	2016
Multimodal gesture recognition using multi-stream recurrent neural network N Nishida, H Nakayama Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland …, 2016	85	2016
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	77	2007
Zero-resource machine translation by multimodal encoder–decoder network with multimedia pivot H Nakayama, N Nishida Machine Translation 31, 49-64, 2017	76	2017
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	72	2010
Meta approach to data augmentation optimization R Hataya, J Zdenek, K Yoshizoe, H Nakayama Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	63	2022
Generating diverse translations with sentence codes R Shu, H Nakayama, K Cho Proceedings of the 57th annual meeting of the association for computational …, 2019	53	2019

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