| 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 | 236 | 2013 |
| 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 | 183 | 2012 |
| 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/CVF Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
| 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 | 43 | 2013 |
| Deterministically maximizing feasible subsystem for robust model fitting with unit norm constraint Y Zheng, S Sugimoto, M Okutomi CVPR 2011, 1825-1832, 2011 | 42 | 2011 |
| 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 | 38 | 2016 |
| 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 | 34 | 2018 |
| 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 | 34 | 2014 |
| 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 | 33 | 2017 |
| 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 | 30 | 2008 |
| 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 | 28 | 2017 |
| A branch and contract algorithm for globally optimal fundamental matrix estimation Y Zheng, S Sugimoto, M Okutomi CVPR 2011, 2953-2960, 2011 | 27 | 2011 |
| 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 | 26 | 2018 |
| 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 | 26 | 2017 |
| 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 | 25 | 2015 |
| 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 | 24 | 2018 |
| 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 | 21 | 2016 |
| Illumination-adaptive person re-identification Z Zeng, Z Wang, Z Wang, Y Zheng, YY Chuang, S Satoh IEEE Transactions on Multimedia 22 (12), 3064-3074, 2020 | 20 | 2020 |
| Beyond intra-modality: A survey of heterogeneous person re-identification Z Wang, Z Wang, Y Zheng, Y Wu, W Zeng, S Satoh arXiv preprint arXiv:1905.10048, 2019 | 17 | 2019 |
| 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 | 16 | 2018 |
