Takuya Narihira
Takuya Narihira
Verified email at
Cited by
Cited by
Direct intrinsics: Learning albedo-shading decomposition by convolutional regression
T Narihira, M Maire, SX Yu
Proceedings of the IEEE international conference on computer vision, 2992-2992, 2015
Ensemble segmentation using AdaBoost with application to liver lesion extraction from a CT volume
A Shimizu, T Narihira, D Furukawa, H Kobatake, S Nawano, K Shinozaki
Proc. MICCAI Workshop on 3D Segmentation in the Clinic: A Grand Challenge II …, 2008
Learning lightness from human judgement on relative reflectance
T Narihira, M Maire, SX Yu
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Affinity cnn: Learning pixel-centric pairwise relations for figure/ground embedding
M Maire, T Narihira, SX Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Automated segmentation of 3D CT images based on statistical atlas and graph cuts
A Shimizu, K Nakagomi, T Narihira, H Kobatake, S Nawano, K Shinozaki, ...
International MICCAI Workshop on Medical Computer Vision, 214-223, 2010
Mapping images to sentiment adjective noun pairs with factorized neural nets
T Narihira, D Borth, SX Yu, K Ni, T Darrell
arXiv preprint arXiv:1511.06838, 2015
Fully convolutional search heuristic learning for rapid path planners
Y Ariki, T Narihira
arXiv preprint arXiv:1908.03343, 2019
3D-CNN based heuristic guided task-space planner for faster motion planning
R Terasawa, Y Ariki, T Narihira, T Tsuboi, K Nagasaka
2020 IEEE International Conference on Robotics and Automation (ICRA), 9548-9554, 2020
Information processing device, method, and program that recognizes a predetermined part of a body
J Yokono, T Narihira
US Patent 9,031,327, 2015
M Maire, T Narihira
Progressive multigrid eigensolvers for multiscale spectral segmentation. ICCV 2, 2013
Perspectives and prospects on transformer architecture for cross-modal tasks with language and vision
A Shin, M Ishii, T Narihira
International Journal of Computer Vision 130 (2), 435-454, 2022
Information processing apparatus and information processing method
N Ide, T Fujita, A Nakamura, T Narihira, R Nakahashi
US Patent App. 16/086,636, 2019
Image processing device, image processing method, recording medium, and program
T Ohashi, J Yokono, T Narihira
US Patent 9,105,239, 2015
Boosting algorithms for segmentation of metastatic liver tumors in contrast-enhanced computed tomography
T Narihira
International Journal of Computer Assisted Radiology and Surgery 4 (1), S41, 2009
Information processing apparatus, vehicle, mobile object, information processing method, and program
H Suzuki, T Narihira, A Nakamura
US Patent App. 16/760,463, 2020
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives
T Narihira, J Alonsogarcia, F Cardinaux, A Hayakawa, M Ishii, K Iwaki, ...
arXiv preprint arXiv:2102.06725, 2021
Ensemble learning based segmentation of metastatic liver tumours in contrast-enhanced computed tomography
A Shimizu, T Narihira, H Kobatake, D Furukawa, S Nawano, K Shinozaki
IEICE TRANSACTIONS on Information and Systems 96 (4), 864-868, 2013
Information processing unit, information processing method, and program
T Ohashi, J Yokono, T Narihira
US Patent 11,010,375, 2021
Image processing apparatus and image processing method
T Ohashi, T Narihira
US Patent App. 14/525,693, 2015
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
K Suzuki, Y Kobayashi, T Narihira
arXiv preprint arXiv:2103.11807, 2021
The system can't perform the operation now. Try again later.
Articles 1–20