| 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 | 158 | 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 | 71 | 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 | 70 | 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 | 60 | 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 | 46 | 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 | 15 | 2015 |
| Fully convolutional search heuristic learning for rapid path planners Y Ariki, T Narihira arXiv preprint arXiv:1908.03343, 2019 | 13 | 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 | 8 | 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 | 8 | 2015 |
| SX Yu M Maire, T Narihira Progressive multigrid eigensolvers for multiscale spectral segmentation. ICCV 2, 2013 | 7 | 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 | 5 | 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 | 5 | 2019 |
| Image processing device, image processing method, recording medium, and program T Ohashi, J Yokono, T Narihira US Patent 9,105,239, 2015 | 5 | 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 | 5 | 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 | 4 | 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 | 3 | 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 | 3 | 2013 |
| Information processing unit, information processing method, and program T Ohashi, J Yokono, T Narihira US Patent 11,010,375, 2021 | 2 | 2021 |
| Image processing apparatus and image processing method T Ohashi, T Narihira US Patent App. 14/525,693, 2015 | 2 | 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 | 1 | 2021 |
