| Embedding watermarks into deep neural networks Y Uchida, Y Nagai, S Sakazawa, S Satoh Proceedings of the 2017 ACM on international conference on multimedia …, 2017 | 758 | 2017 |
| Digital watermarking for deep neural networks Y Nagai, Y Uchida, S Sakazawa, S Satoh International Journal of Multimedia Information Retrieval 7, 3-16, 2018 | 184 | 2018 |
| A survey of product quantization Y Matsui, Y Uchida, H Jégou, S Satoh ITE Transactions on Media Technology and Applications 6 (1), 2-10, 2018 | 68 | 2018 |
| Full-body high-resolution anime generation with progressive structure-conditional generative adversarial networks K Hamada, K Tachibana, T Li, H Honda, Y Uchida Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 54 | 2018 |
| Image retrieval with fisher vectors of binary features Y Uchida, S Sakazawa, S Satoh ITE Transactions on Media Technology and Applications 4 (4), 326-336, 2016 | 41 | 2016 |
| CLRerNet: improving confidence of lane detection with LaneIoU H Honda, Y Uchida Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 31 | 2024 |
| KDDI LABS at TRECVID 2011: Content-Based Copy Detection. Y Uchida, K Takagi, S Sakazawa TRECVID, 2011 | 22 | 2011 |
| Accurate content-based video copy detection with efficient feature indexing Y Uchida, M Agrawal, S Sakazawa Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 1-8, 2011 | 21 | 2011 |
| Local feature detectors, descriptors, and image representations: A survey Y Uchida arXiv preprint arXiv:1607.08368, 2016 | 20 | 2016 |
| [サーベイ論文] 畳み込みニューラルネットワークの研究動向 内田祐介， 山下隆義 電子情報通信学会技術研究報告; 信学技報 117 (362), 25-38, 2017 | 17 | 2017 |
| KDDI LABS and SRI International at TRECVID 2010: Content-Based Copy Detection. Y Uchida, S Sakazawa, M Agrawal, M Akbacak TRECVID, 2010 | 17 | 2010 |
| Data communication system, data transmitting device, data transmitting method, data receiving device, and data receiving method E Itakura, S Sunahara, Y Takahashi, S Kasahara, H Masuyama, Y Uchida US Patent 8,005,028, 2011 | 15 | 2011 |
| Multi-feature and multi-instance learning with anti-overfitting strategy for engagement intensity prediction J Wu, Z Zhou, Y Wang, Y Li, X Xu, Y Uchida 2019 International Conference on Multimodal Interaction, 582-588, 2019 | 14 | 2019 |
| Information processing apparatus for embedding watermark information, method, and computer readable storage medium Y Uchida, S Sakazawa US Patent 11,521,043, 2022 | 13 | 2022 |
| Improving multi-person pose estimation using label correction N Kato, T Li, K Nishino, Y Uchida arXiv preprint arXiv:1811.03331, 2018 | 13 | 2018 |
| Fast and accurate content-based video copy detection using bag-of-global visual features Y Uchida, K Takagi, S Sakazawa 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 13 | 2012 |
| 物体認識のための畳み込みニューラルネットワークの研究動向 内田祐介， 山下隆義 電子情報通信学会論文誌 D 102 (3), 203-225, 2019 | 11 | 2019 |
| Ribonanza: deep learning of RNA structure through dual crowdsourcing S He, R Huang, J Townley, RC Kretsch, TG Karagianes, DBT Cox, H Blair, ... bioRxiv, 2024 | 7 | 2024 |
| An alternative to idf: Effective scoring for accurate image retrieval with non-parametric density ratio estimation Y Uchida, K Takagi, S Sakazawa Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 5 | 2012 |
| Leveraging temporal joint depths for improving 3d human pose estimation in video N Kato, H Honda, Y Uchida 2020 IEEE 9th global conference on consumer electronics (GCCE), 130-131, 2020 | 4 | 2020 |
Shigeyuki SakazawaOsaka Institute of Technology確認したメール アドレス: oit.ac.jp
