Takayoshi Yamashita
Cited by
Cited by
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
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
Deep learning-based image recognition for autonomous driving
H Fujiyoshi, T Hirakawa, T Yamashita
IATSS research 43 (4), 244-252, 2019
Multiple object extraction from aerial imagery with convolutional neural networks
S Saito, T Yamashita, Y Aoki
Electronic Imaging 28, 1-9, 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
Surf tracking
W He, T Yamashita, H Lu, S Lao
2009 IEEE 12th International Conference on Computer Vision, 1586-1592, 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
Authentication apparatus and portable terminal
E Takikawa, T Yamashita, S Hosoi
US Patent 8,423,785, 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
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
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
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
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
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
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
Survey on vision-based path prediction
T Hirakawa, T Yamashita, T Tamaki, H Fujiyoshi
Distributed, Ambient and Pervasive Interactions: Technologies and Contexts …, 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
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
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
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
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