| 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 | 210 | 2015 |
| 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 | 89 | 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 | 82 | 2008 |
| 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 | 76 | 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, ... Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2011 | 46 | 2011 |
| 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 | 36 | 2022 |
| Instruct 3d-to-3d: Text instruction guided 3d-to-3d conversion H Kamata, Y Sakuma, A Hayakawa, M Ishii, T Narihira arXiv preprint arXiv:2303.15780, 2023 | 33 | 2023 |
| 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 | 29 | 2020 |
| 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 | 18 | 2015 |
| Fully convolutional search heuristic learning for rapid path planners Y Ariki, T Narihira arXiv preprint arXiv:1908.03343, 2019 | 16 | 2019 |
| Information processing apparatus, vehicle, mobile object, information processing method, and program H Suzuki, T Narihira, A Nakamura US Patent App. 16/760,463, 2020 | 15 | 2020 |
| Fine-grained image editing by pixel-wise guidance using diffusion models N Matsunaga, M Ishii, A Hayakawa, K Suzuki, T Narihira arXiv preprint arXiv:2212.02024, 2022 | 13 | 2022 |
| Reference-based video colorization with spatiotemporal correspondence N Akimoto, A Hayakawa, A Shin, T Narihira arXiv preprint arXiv:2011.12528, 2020 | 13 | 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 | 12 | 2021 |
| Information processing apparatus and information processing method N Ide, T Fujita, A Nakamura, T Narihira, R Nakahashi US Patent App. 16/086,636, 2019 | 10 | 2019 |
| Information processing device, method, and program that recognizes a predetermined part of a body J Yokono, T Narihira US Patent 9,031,327, 2015 | 9 | 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 | 8 | 2021 |
| Information processing device A Nakamura, T Narihira, T Fujita US Patent 10,430,707, 2019 | 6 | 2019 |
| SX Yu M Maire, T Narihira Progressive multigrid eigensolvers for multiscale spectral segmentation. ICCV 2, 2013 | 6 | 2013 |
| Image processing device, image processing method, recording medium, and program T Ohashi, J Yokono, T Narihira US Patent 9,105,239, 2015 | 5 | 2015 |
