フォロー
Satoshi Ikehata
Satoshi Ikehata
確認したメール アドレス: nii.ac.jp
タイトル
引用先
引用先
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
1902012
Structured indoor modeling
S Ikehata, H Yang, Y Furukawa
Proceedings of the IEEE international conference on computer vision, 1323-1331, 2015
1692015
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
1542018
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
1222014
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
752014
From Bayesian sparsity to gated recurrent nets
H He, B Xin, S Ikehata, D Wipf
Advances in Neural Information Processing Systems 30, 2017
362017
Ps-transformer: Learning sparse photometric stereo network using self-attention mechanism
S Ikehata
BMVC2021, 2022
232022
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
232021
Universal photometric stereo network using global lighting contexts
S Ikehata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
222022
Scalable, detailed and mask-free universal photometric stereo
S Ikehata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
Depth map up-sampling using cost-volume filtering
JH Cho, S Ikehata, H Yoo, M Gelautz, K Aizawa
IVMSP 2013, 1-4, 2013
112013
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
102013
Panoramic structure from motion via geometric relationship detection
S Ikehata, I Boyadzhiev, Q Shan, Y Furukawa
arXiv preprint arXiv:1612.01256, 2016
72016
Field-of-view IoU for object detection in 360° images
M Cao, S Ikehata, K Aizawa
IEEE Transactions on Image Processing, 2023
62023
Does Physical Interpretability of Observation Map Improve Photometric Stereo Networks?
S Ikehata
ICIP, 291-295, 2022
62022
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
42014
Field-of-view iou for object detection in 360 {\deg} images
M Cao, S Ikehata, K Aizawa
arXiv preprint arXiv:2202.03176, 2022
32022
Efficiency-enhanced cost-volume filtering featuring coarse-to-fine strategy
R Furuta, S Ikehata, T Yamaskai, K Aizawa
Multimedia Tools and Applications 77, 12469-12491, 2018
32018
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
32018
Non-uniform Sampling Strategies for NeRF on 360° images.
T Otonari, S Ikehata, K Aizawa
BMVC, 344, 2022
22022
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