| Robust photometric stereo using sparse regression S Ikehata, D Wipf, Y Matsushita, K Aizawa 2012 IEEE Conference on Computer Vision and Pattern Recognition, 318-325, 2012 | 197 | 2012 |
| Structured indoor modeling S Ikehata, H Yang, Y Furukawa Proceedings of the IEEE international conference on computer vision, 1323-1331, 2015 | 177 | 2015 |
| CNN-PS: CNN-based photometric stereo for general non-convex surfaces S Ikehata Proceedings of the European conference on computer vision (ECCV), 3-18, 2018 | 165 | 2018 |
| Photometric stereo using constrained bivariate regression for general isotropic surfaces S Ikehata, K Aizawa Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 125 | 2014 |
| Photometric stereo using sparse bayesian regression for general diffuse surfaces S Ikehata, D Wipf, Y Matsushita, K Aizawa IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (9), 1816-1831, 2014 | 79 | 2014 |
| From Bayesian sparsity to gated recurrent nets H He, B Xin, S Ikehata, D Wipf Advances in Neural Information Processing Systems 30, 2017 | 38 | 2017 |
| 360 single image super resolution via distortion-aware network and distorted perspective images A Nishiyama, S Ikehata, K Aizawa 2021 IEEE International Conference on Image Processing (ICIP), 1829-1833, 2021 | 28 | 2021 |
| Scalable, detailed and mask-free universal photometric stereo S Ikehata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| Ps-transformer: Learning sparse photometric stereo network using self-attention mechanism S Ikehata BMVC2021, 2022 | 27 | 2022 |
| Universal photometric stereo network using global lighting contexts S Ikehata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Depth map up-sampling using cost-volume filtering JH Cho, S Ikehata, H Yoo, M Gelautz, K Aizawa IVMSP 2013, 1-4, 2013 | 12 | 2013 |
| Depth map inpainting and super-resolution based on internal statistics of geometry and appearance S Ikehata, JH Cho, K Aizawa 2013 IEEE International Conference on Image Processing, 938-942, 2013 | 10 | 2013 |
| Field-of-view IoU for object detection in 360° images M Cao, S Ikehata, K Aizawa IEEE Transactions on Image Processing, 2023 | 9 | 2023 |
| Does physical interpretability of observation map improve photometric stereo networks? S Ikehata ICIP, 291-295, 2022 | 8 | 2022 |
| Panoramic structure from motion via geometric relationship detection S Ikehata, I Boyadzhiev, Q Shan, Y Furukawa arXiv preprint arXiv:1612.01256, 2016 | 8 | 2016 |
| Coarse-to-fine strategy for efficient cost-volume filtering R Furuta, S Ikehata, T Yamasaki, K Aizawa 2014 IEEE International Conference on Image Processing (ICIP), 3793-3797, 2014 | 4 | 2014 |
| 360RVW: Fusing Real 360 Videos and Interactive Virtual Worlds M Takenawa, N Sugimoto, L Wöhler, S Ikehata, K Aizawa Proceedings of the 31st ACM International Conference on Multimedia, 9379-9381, 2023 | 3 | 2023 |
| Field-of-view iou for object detection in 360 {\deg} images M Cao, S Ikehata, K Aizawa arXiv preprint arXiv:2202.03176, 2022 | 3 | 2022 |
| Non-uniform Sampling Strategies for NeRF on 360° images. T Otonari, S Ikehata, K Aizawa BMVC, 344, 2022 | 3 | 2022 |
| Scale drift correction of camera geo-localization using geo-tagged images K Iwami, S Ikehata, K Aizawa Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 3 | 2018 |
Kiyoharu AizawaUniversity of Tokyo確認したメール アドレス: hal.t.u-tokyo.ac.jp
Kiyoharu AizawaUniversity of Tokyo確認したメール アドレス: hal.t.u-tokyo.ac.jp