Joint multimodal learning with deep generative models M Suzuki, K Nakayama, Y Matsuo arXiv preprint arXiv:1611.01891, 2016 | 281 | 2016 |
Okutama-action: An aerial view video dataset for concurrent human action detection M Barekatain, M Martí, HF Shih, S Murray, K Nakayama, Y Matsuo, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 233 | 2017 |
Wikipedia mining for an association web thesaurus construction K Nakayama, T Hara, S Nishio Web Information Systems Engineering–WISE 2007: 8th International Conference …, 2007 | 179 | 2007 |
Generative adversarial nets from a density ratio estimation perspective M Uehara, I Sato, M Suzuki, K Nakayama, Y Matsuo arXiv preprint arXiv:1610.02920, 2016 | 108 | 2016 |
UAV-based situational awareness system using deep learning R Geraldes, A Goncalves, T Lai, M Villerabel, W Deng, A Salta, ... IEEE access 7, 122583-122594, 2019 | 85 | 2019 |
Multi-class structural damage segmentation using fully convolutional networks JJ Rubio, T Kashiwa, T Laiteerapong, W Deng, K Nagai, S Escalera, ... Computers in Industry 112, 103121, 2019 | 84 | 2019 |
Association thesaurus construction methods based on link co-occurrence analysis for wikipedia M Ito, K Nakayama, T Hara, S Nishio Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 84 | 2008 |
An approach for extracting bilingual terminology from wikipedia M Erdmann, K Nakayama, T Hara, S Nishio Database Systems for Advanced Applications: 13th International Conference …, 2008 | 80 | 2008 |
A thesaurus construction method from large scaleweb dictionaries K Nakayama, H Takahiro, S Nishio 21st International Conference on Advanced Information Networking and …, 2007 | 77 | 2007 |
Improving the extraction of bilingual terminology from Wikipedia M Erdmann, K Nakayama, T Hara, S Nishio ACM Transactions on Multimedia Computing, Communications, and Applications …, 2009 | 74 | 2009 |
Vision based pixel-level bridge structural damage detection using a link ASPP network W Deng, Y Mou, T Kashiwa, S Escalera, K Nagai, K Nakayama, Y Matsuo, ... Automation in Construction 110, 102973, 2020 | 72 | 2020 |
Wikipedia-based semantic similarity measurements for noisy short texts using extended naive bayes M Shirakawa, K Nakayama, T Hara, S Nishio IEEE Transactions on Emerging Topics in Computing 3 (2), 205-219, 2015 | 61 | 2015 |
Wikipedia Link Structure and Text Mining for Semantic Relation Extraction. K Nakayama, T Hara, S Nishio SemSearch, 59-73, 2008 | 59 | 2008 |
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training. Y Iwasawa, K Nakayama, I Yairi, Y Matsuo IJCAI, 1930-1936, 2017 | 52 | 2017 |
Constructing a global ontology by concept mapping using wikipedia thesaurus M Pei, K Nakayama, T Hara, S Nishio 22nd International Conference on Advanced Information Networking and …, 2008 | 44 | 2008 |
Wikipedia mining K Nakayama, M Pei, M Erdmann, M Ito, M Shirakawa, T Hara, S Nishio Wikimania. Wikimedia, 2008 | 44 | 2008 |
Concept vector extraction from Wikipedia category network M Shirakawa, K Nakayama, T Hara, S Nishio Proceedings of the 3rd International Conference on Ubiquitous Information …, 2009 | 28 | 2009 |
Neural machine translation with latent semantic of image and text J Toyama, M Misono, M Suzuki, K Nakayama, Y Matsuo arXiv preprint arXiv:1611.08459, 2016 | 25 | 2016 |
Wikipedia マイニングによるシソーラス辞書の構築手法 中山浩太郎, 原隆浩, 西尾章治郎 情報処理学会論文誌 47 (10), 2917-2928, 2006 | 25 | 2006 |
Low-return-loss plasmonic multiplexer with tapered structure A Sumimura, M Ota, K Nakayama, M Ito, Y Ishii, M Fukuda IEEE Photonics Technology Letters 28 (21), 2419-2422, 2016 | 22 | 2016 |