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 | 456 | 2019 |
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 | 425 | 2013 |
Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing M Cao, X Wang, Z Qi, Y Shan, X Qie, Y Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 238 | 2023 |
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 | 234 | 2012 |
Efficient spatio-temporal recurrent neural network for video deblurring Z Zhong, Y Gao, Y Zheng, B Zheng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 149 | 2020 |
Learning to see moving objects in the dark H Jiang, Y Zheng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 135 | 2019 |
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 | 114 | 2017 |
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 | 108 | 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 | 97 | 2020 |
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 | 97 | 2018 |
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 | 97 | 2018 |
Hyperspectral image super-resolution with optimized RGB guidance Y Fu, T Zhang, Y Zheng, D Zhang, H Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 94 | 2019 |
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 | 90 | 2018 |
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 | 83 | 2013 |
Physics-based noise modeling for extreme low-light photography K Wei, Y Fu, Y Zheng, J Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8520 …, 2021 | 80 | 2021 |
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 | 74 | 2019 |
Multi-level and multi-scale spatial and spectral fusion CNN for hyperspectral image super-resolution XH Han, YQ Zheng, YW Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 65 | 2019 |
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 | 65 | 2014 |
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 | 64 | 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 Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 64 | 2017 |