Okatani Takayuki
Okatani Takayuki
Professor, Graduate School of Information Sciences, Tohoku University
Verified email at vision.is.tohoku.ac.jp - Homepage
Cited by
Cited by
Shape reconstruction from an endoscope image by shape from shading technique for a point light source at the projection center
T Okatani, K Deguchi
Computer vision and image understanding 66 (2), 119-131, 1997
On the Wiberg algorithm for matrix factorization in the presence of missing components
T Okatani, K Deguchi
International Journal of Computer Vision 72 (3), 329-337, 2007
Improved fusion of visual and language representations by dense symmetric co-attention for visual question answering
DK Nguyen, T Okatani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries
J Hu, M Ozay, Y Zhang, T Okatani
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1043-1051, 2019
Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithms
K Deguchi, O Kawanaka, T Okatani
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
Change Detection from a Street Image Pair using CNN Features and Superpixel Segmentation.
K Sakurada, T Okatani
BMVC 61, 1-12, 2015
Efficient algorithm for low-rank matrix factorization with missing components and performance comparison of latest algorithms
T Okatani, T Yoshida, K Deguchi
2011 International Conference on Computer Vision, 842-849, 2011
Autocalibration of a projector-camera system
T Okatani, K Deguchi
IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (12), 1845 …, 2005
Mix and Match: Joint Model for Clothing and Attribute Recognition.
K Yamaguchi, T Okatani, K Sudo, K Murasaki, Y Taniguchi
BMVC 1 (2), 4, 2015
Detecting changes in 3D structure of a scene from multi-view images captured by a vehicle-mounted camera
K Sakurada, T Okatani, K Deguchi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Dual residual networks leveraging the potential of paired operations for image restoration
X Liu, M Suganuma, Z Sun, T Okatani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks
CV Dung, H Sekiya, S Hirano, T Okatani, C Miki
Automation in Construction 102, 217-229, 2019
Automatic attribute discovery with neural activations
S Vittayakorn, T Umeda, K Murasaki, K Sudo, T Okatani, K Yamaguchi
European Conference on Computer Vision, 252-268, 2016
A color-based tracking by kalman particle filter
Y Satoh, T Okatani, K Deguchi
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
Exploiting the potential of standard convolutional autoencoders for image restoration by evolutionary search
M Suganuma, M Ozay, T Okatani
International Conference on Machine Learning, 4771-4780, 2018
Separation of reflection components by sparse non-negative matrix factorization
Y Akashi, T Okatani
Asian Conference on Computer Vision, 611-625, 2014
Absolute phase measurements using geometric constraints between multiple cameras and projectors
R Ishiyama, S Sakamoto, J Tajima, T Okatani, K Deguchi
Applied Optics 46 (17), 3528-3538, 2007
Deep learning
T Okatani
Machine Learning Professional Series, Kodansha Ltd, 2015
Video synchronization based on co-occurrence of appearance changes in video sequences
M Ushizaki, T Okatani, K Deguchi
18th International Conference on Pattern Recognition (ICPR'06) 3, 71-74, 2006
Hand Gesture Recognition Using Histogram of Oriented Gradients and Partial Least Squares Regression.
A Misra, T Abe, K Deguchi
MVA, 479-482, 2011
The system can't perform the operation now. Try again later.
Articles 1–20