Yinqiang Zheng
Yinqiang Zheng
Verified email at nii.ac.jp
Title
Cited by
Cited by
Year
Revisiting the pnp problem: A fast, general and optimal solution
Y Zheng, Y Kuang, S Sugimoto, K Astrom, M Okutomi
Proceedings of the IEEE International Conference on Computer Vision, 2344-2351, 2013
2042013
Practical low-rank matrix approximation under robust L1-norm
Y Zheng, G Liu, S Sugimoto, S Yan, M Okutomi
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1410-1417, 2012
1702012
Learning to reduce dual-level discrepancy for infrared-visible person re-identification
Z Wang, Z Wang, Y Zheng, YY Chuang, S Satoh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
442019
Deterministically maximizing feasible subsystem for robust model fitting with unit norm constraint
Y Zheng, S Sugimoto, M Okutomi
CVPR 2011, 1825-1832, 2011
392011
Aspnp: An accurate and scalable solution to the perspective-n-point problem
Y Zheng, S Sugimoto, M Okutomi
IEICE TRANSACTIONS on Information and Systems 96 (7), 1525-1535, 2013
372013
From RGB to spectrum for natural scenes via manifold-based mapping
Y Jia, Y Zheng, L Gu, A Subpa-Asa, A Lam, Y Sato, I Sato
Proceedings of the IEEE International Conference on Computer Vision, 4705-4713, 2017
272017
Exploiting spectral-spatial correlation for coded hyperspectral image restoration
Y Fu, Y Zheng, I Sato, Y Sato
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
272016
Deeply learned filter response functions for hyperspectral reconstruction
S Nie, L Gu, Y Zheng, A Lam, N Ono, I Sato
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
262018
Another way of looking at monocular circle pose estimation
Y Zheng, W Ma, Y Liu
2008 15th IEEE International Conference on Image Processing, 861-864, 2008
262008
A general and simple method for camera pose and focal length determination
Y Zheng, S Sugimoto, I Sato, M Okutomi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
252014
A branch and contract algorithm for globally optimal fundamental matrix estimation
Y Zheng, S Sugimoto, M Okutomi
CVPR 2011, 2953-2960, 2011
252011
Self-similarity constrained sparse representation for hyperspectral image super-resolution
XH Han, B Shi, Y Zheng
IEEE Transactions on Image Processing 27 (11), 5625-5637, 2018
232018
Semi-supervised learning for biomedical image segmentation via forest oriented super pixels (voxels)
L Gu, Y Zheng, R Bise, I Sato, N Imanishi, S Aiso
International Conference on Medical Image Computing and Computer-Assisted …, 2017
232017
Making minimal solvers for absolute pose estimation compact and robust
V Larsson, Z Kukelova, Y Zheng
Proceedings of the IEEE International Conference on Computer Vision, 2316-2324, 2017
212017
Illumination and reflectance spectra separation of a hyperspectral image meets low-rank matrix factorization
Y Zheng, I Sato, Y Sato
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
212015
Joint camera spectral sensitivity selection and hyperspectral image recovery
Y Fu, T Zhang, Y Zheng, D Zhang, H Huang
Proceedings of the European Conference on Computer Vision (ECCV), 788-804, 2018
182018
Shape from water: Bispectral light absorption for depth recovery
Y Asano, Y Zheng, K Nishino, I Sato
European Conference on Computer Vision, 635-649, 2016
162016
Ssf-cnn: Spatial and spectral fusion with cnn for hyperspectral image super-resolution
XH Han, B Shi, Y Zheng
2018 25th IEEE International Conference on Image Processing (ICIP), 2506-2510, 2018
142018
Hyperspectral image super-resolution with a mosaic RGB image
Y Fu, Y Zheng, H Huang, I Sato, Y Sato
IEEE Transactions on Image Processing 27 (11), 5539-5552, 2018
142018
A practical rank-constrained eight-point algorithm for fundamental matrix estimation
Y Zheng, S Sugimoto, M Okutomi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
142013
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