| The SR-tree: An index structure for high-dimensional nearest neighbor queries N Katayama, S Satoh ACM Sigmod Record 26 (2), 369-380, 1997 | 1526 | 1997 |
| 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 | 652 | 2017 |
| Learning to reduce dual-level discrepancy for infrared-visible person re-identification Z Wang, Z Wang, Y Zheng, YY Chuang, S Satoh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 432 | 2019 |
| Name-it: Naming and detecting faces in news videos S Satoh, Y Nakamura, T Kanade Ieee Multimedia 6 (1), 22-35, 1999 | 432 | 1999 |
| Spotfake: A multi-modal framework for fake news detection S Singhal, RR Shah, T Chakraborty, P Kumaraguru, S Satoh 2019 IEEE fifth international conference on multimedia big data (BigMM), 39-47, 2019 | 385 | 2019 |
| Video OCR: indexing digital news libraries by recognition of superimposed captions T Sato, T Kanade, EK Hughes, MA Smith, S Satoh Multimedia Systems 7, 385-395, 1999 | 289 | 1999 |
| Joint detection and recounting of abnormal events by learning deep generic knowledge R Hinami, T Mei, S Satoh Proceedings of the IEEE international conference on computer vision, 3619-3627, 2017 | 277 | 2017 |
| Name-it: Association of face and name in video S Satoh, T Kanade Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997 | 194 | 1997 |
| 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 | 180 | 2021 |
| Faster r-cnn features for instance search A Salvador, X Giró-i-Nieto, F Marqués, S Satoh Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 164 | 2016 |
| Digital watermarking for deep neural networks Y Nagai, Y Uchida, S Sakazawa, S Satoh International Journal of Multimedia Information Retrieval 7, 3-16, 2018 | 163 | 2018 |
| 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 | 141 | 2019 |
| Cooking navi: assistant for daily cooking in kitchen R Hamada, J Okabe, I Ide, S Satoh, S Sakai, H Tanaka Proceedings of the 13th annual ACM international conference on Multimedia …, 2005 | 134 | 2005 |
| Guidance and evaluation: Semantic-aware image inpainting for mixed scenes L Liao, J Xiao, Z Wang, CW Lin, S Satoh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 129 | 2020 |
| Cascaded SR-GAN for scale-adaptive low resolution person re-identification. Z Wang, M Ye, F Yang, X Bai, Shin'ichi Satoh 0001 IJCAI 1 (2), 4, 2018 | 116 | 2018 |
| Comparative evaluation of face sequence matching for content-based video access S Satoh Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000 | 106 | 2000 |
| Image inpainting guided by coherence priors of semantics and textures L Liao, J Xiao, Z Wang, CW Lin, S Satoh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 99 | 2021 |
| Illumination-adaptive person re-identification Z Zeng, Z Wang, Z Wang, Y Zheng, YY Chuang, S Satoh IEEE Transactions on Multimedia 22 (12), 3064-3074, 2020 | 96 | 2020 |
| Image sentiment analysis using latent correlations among visual, textual, and sentiment views M Katsurai, S Satoh 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 96 | 2016 |
| Building compact local pairwise codebook with joint feature space clustering N Morioka, S Satoh Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 91 | 2010 |
Zheng WangWuhan University在 whu.edu.cn 的电子邮件经过验证
