| Classification-reconstruction learning for open-set recognition R Yoshihashi, W Shao, R Kawakami, S You, M Iida, T Naemura Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 451 | 2019 |
| Cattle detection and counting in UAV images based on convolutional neural networks W Shao, R Kawakami, R Yoshihashi, S You, H Kawase, T Naemura International Journal of Remote Sensing 41 (1), 31-52, 2020 | 158 | 2020 |
| Combining deep features for object detection at various scales: finding small birds in landscape images A Takeki, TT Trinh, R Yoshihashi, R Kawakami, M Iida, T Naemura IPSJ transactions on computer vision and applications 8, 1-7, 2016 | 52 | 2016 |
| Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone Y Wang, R Yoshihashi, R Kawakami, S You, T Harano, M Ito, ... IPSJ Transactions on Computer Vision and Applications 11, 1-7, 2019 | 49 | 2019 |
| Differentiating objects by motion: Joint detection and tracking of small flying objects R Yoshihashi, TT Trinh, R Kawakami, S You, M Iida, T Naemura arXiv preprint arXiv:1709.04666, 2017 | 45* | 2017 |
| Bird detection and species classification with time‐lapse images around a wind farm: Dataset construction and evaluation R Yoshihashi, R Kawakami, M Iida, T Naemura Wind Energy 20 (12), 1983-1995, 2017 | 36 | 2017 |
| Construction of a bird image dataset for ecological investigations R Yoshihashi, R Kawakami, M Iida, T Naemura 2015 IEEE International Conference on Image Processing (ICIP), 4248-4252, 2015 | 33 | 2015 |
| Detection of small birds in large images by combining a deep detector with semantic segmentation A Takeki, TT Trinh, R Yoshihashi, R Kawakami, M Iida, T Naemura 2016 IEEE international conference on image processing (ICIP), 3977-3981, 2016 | 30 | 2016 |
| Hybrid loss for learning single-image-based HDR reconstruction K Moriwaki, R Yoshihashi, R Kawakami, S You, T Naemura arXiv preprint arXiv:1812.07134, 2018 | 28 | 2018 |
| Bird detection near wind turbines from high-resolution video using lstm networks TT Trinh, R Yoshihashi, R Kawakami, M Iida, T Naemura World Wind Energy Conference (WWEC) 2 (5), 6, 2016 | 20 | 2016 |
| Pass receiver prediction in soccer using video and players' trajectories Y Honda, R Kawakami, R Yoshihashi, K Kato, T Naemura Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Cross-connected networks for multi-task learning of detection and segmentation R Kawakami, R Yoshihashi, S Fukuda, S You, M Iida, T Naemura 2019 IEEE International Conference on Image Processing (ICIP), 3636-3640, 2019 | 18* | 2019 |
| Evaluation of bird detection using time-lapse images around a wind farm R Yoshihashi, R Kawakami, M Iida, T Naemura European Wind Energy Association Conference, 2015 | 18 | 2015 |
| Pedestrian detection with motion features via two-stream ConvNets R Yoshihashi, TT Trinh, R Kawakami, S You, M Iida, T Naemura IPSJ Transactions on Computer Vision and Applications 10, 1-13, 2018 | 6 | 2018 |
| Differentiating objects by motion: Joint detection and tracking of small flying objects. arXiv 2017 R Yoshihashi, TT Trinh, R Kawakami, S You, M Iida, T Naemura arXiv preprint arXiv:1709.04666, 0 | 6 | |
| Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach R Yoshihashi, R Kawakami, S You, TT Trinh, M Iida, T Naemura arXiv preprint arXiv:2105.08253, 2021 | 5 | 2021 |
| Multi event localization by audio-visual fusion with omnidirectional camera and microphone array W Zheng, R Yoshihashi, R Kawakami, I Sato, A Kanezaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Context-free textspotter for real-time and mobile end-to-end text detection and recognition R Yoshihashi, T Tanaka, K Doi, T Fujino, N Yamashita Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 4 | 2021 |
| Attention as annotation: Generating images and pseudo-masks for weakly supervised semantic segmentation with diffusion R Yoshihashi, Y Otsuka, T Tanaka arXiv preprint arXiv:2309.01369, 2023 | 3 | 2023 |
| Ladder siamese network: a method and insights for multi-level self-supervised learning R Yoshihashi, S Nishimura, D Yonebayashi, Y Otsuka, T Tanaka, ... 2023 IEEE International Conference on Image Processing (ICIP), 211-215, 2023 | 2 | 2023 |
