| Attention branch network: Learning of attention mechanism for visual explanation H Fukui, T Hirakawa, T Yamashita, H Fujiyoshi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 576 | 2019 |
| Tracking in low frame rate video: A cascade particle filter with discriminative observers of different life spans Y Li, H Ai, T Yamashita, S Lao, M Kawade IEEE transactions on pattern analysis and machine intelligence 30 (10), 1728 …, 2008 | 473 | 2008 |
| Deep learning-based image recognition for autonomous driving H Fujiyoshi, T Hirakawa, T Yamashita IATSS research 43 (4), 244-252, 2019 | 435 | 2019 |
| Multiple object extraction from aerial imagery with convolutional neural networks S Saito, T Yamashita, Y Aoki Electronic Imaging 28, 1-9, 2016 | 267 | 2016 |
| A neural network approach for students' performance prediction F Okubo, T Yamashita, A Shimada, H Ogata Proceedings of the seventh international learning analytics & knowledge …, 2017 | 235 | 2017 |
| Surf tracking W He, T Yamashita, H Lu, S Lao 2009 IEEE 12th International Conference on Computer Vision, 1586-1592, 2009 | 137 | 2009 |
| Boosted random forest Y Mishina, R Murata, Y Yamauchi, T Yamashita, H Fujiyoshi IEICE TRANSACTIONS on Information and Systems 98 (9), 1630-1636, 2015 | 117 | 2015 |
| Authentication apparatus and portable terminal E Takikawa, T Yamashita, S Hosoi US Patent 8,423,785, 2013 | 93 | 2013 |
| Embedding human knowledge into deep neural network via attention map M Mitsuhara, H Fukui, Y Sakashita, T Ogata, T Hirakawa, T Yamashita, ... arXiv preprint arXiv:1905.03540, 2019 | 86 | 2019 |
| Pedestrian detection based on deep convolutional neural network with ensemble inference network H Fukui, T Yamashita, Y Yamauchi, H Fujiyoshi, H Murase 2015 IEEE Intelligent Vehicles Symposium (IV), 223-228, 2015 | 68 | 2015 |
| To be Bernoulli or to be Gaussian, for a restricted Boltzmann machine T Yamashita, M Tanaka, E Yoshida, Y Yamauchi, H Fujiyoshii 2014 22nd International Conference on Pattern Recognition, 1520-1525, 2014 | 68 | 2014 |
| Incremental learning of boosted face detector C Huang, H Ai, T Yamashita, S Lao, M Kawade 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 62 | 2007 |
| Tracking apparatus that tracks a face position in a dynamic picture image using ambient information excluding the face K Kinoshita, S Tsukiji, M Matsuoka, T Yamashita US Patent 7,940,956, 2011 | 56 | 2011 |
| Visual explanation by attention branch network for end-to-end learning-based self-driving K Mori, H Fukui, T Murase, T Hirakawa, T Yamashita, H Fujiyoshi 2019 IEEE intelligent vehicles symposium (IV), 1577-1582, 2019 | 51 | 2019 |
| Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning T Hirakawa, T Yamashita, T Tamaki, H Fujiyoshi, Y Umezu, I Takeuchi, ... Ecosphere 9 (10), e02447, 2018 | 46 | 2018 |
| Survey on vision-based path prediction T Hirakawa, T Yamashita, T Tamaki, H Fujiyoshi Distributed, Ambient and Pervasive Interactions: Technologies and Contexts …, 2018 | 44 | 2018 |
| Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum learning T Yamashita, T Watasue 2014 IEEE international conference on image processing (ICIP), 853-857, 2014 | 43 | 2014 |
| Students' performance prediction using data of multiple courses by recurrent neural network F Okubo, T Yamashita, A Shimada, S Konomi 25th International Conference on Computers in Education, ICCE 2017, 439-444, 2017 | 40 | 2017 |
| Hand gesture based TV control system—Towards both user-& machine-friendly gesture applications A Shimada, T Yamashita, R Taniguchi The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 121-126, 2013 | 35 | 2013 |
| MT-DSSD: Deconvolutional single shot detector using multi task learning for object detection, segmentation, and grasping detection R Araki, T Onishi, T Hirakawa, T Yamashita, H Fujiyoshi 2020 IEEE International Conference on Robotics and Automation (ICRA), 10487 …, 2020 | 33 | 2020 |
Hironobu FujiyoshiProfessor, Chubu University在 isc.chubu.ac.jp 的电子邮件经过验证
