Content-aware unsupervised deep homography estimation J Zhang, C Wang, S Liu, L Jia, N Ye, J Wang, J Zhou, J Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 178 | 2020 |
Motion basis learning for unsupervised deep homography estimation with subspace projection N Ye, C Wang, H Fan, S Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 56 | 2021 |
FINet: Dual branches feature interaction for partial-to-partial point cloud registration H Xu, N Ye, G Liu, B Zeng, S Liu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2848-2856, 2022 | 54 | 2022 |
Unsupervised homography estimation with coplanarity-aware gan M Hong, Y Lu, N Ye, C Lin, Q Zhao, S Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 40 | 2022 |
Oiflow: Occlusion-inpainting optical flow estimation by unsupervised learning S Liu, K Luo, N Ye, C Wang, J Wang, B Zeng IEEE Transactions on Image Processing 30, 6420-6433, 2021 | 34 | 2021 |
Content-aware unsupervised deep homography estimation and its extensions S Liu, N Ye, C Wang, J Zhang, L Jia, K Luo, J Wang, J Sun IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2849-2863, 2022 | 21 | 2022 |
Deepmeshflow: Content adaptive mesh deformation for robust image registration N Ye, C Wang, S Liu, L Jia, J Wang, Y Cui arXiv preprint arXiv:1912.05131, 2019 | 16 | 2019 |
Unsupervised global and local homography estimation with motion basis learning S Liu, Y Lu, H Jiang, N Ye, C Wang, B Zeng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7885-7899, 2022 | 13 | 2022 |
Single exposure high dynamic range image reconstruction based on deep dual-branch network N Ye, Y Huo, S Liu, H Li IEEE Access 9, 9610-9624, 2021 | 8 | 2021 |
Occinpflow: Occlusion-inpainting optical flow estimation by unsupervised learning K Luo, C Wang, N Ye, S Liu, J Wang arXiv preprint arXiv:2006.16637, 2020 | 8 | 2020 |
Supplementary Material for the Paper: Unsupervised Homography Estimation with Coplanarity-Aware GAN M Hong, Y Lu, N Ye, C Lin, Q Zhao, S Liu | | |