10 citations · 20 across the 3 of their papers we have counts for
4 papers
Unsupervised Homography Estimation with Coplanarity-Aware GAN
Mingbo Hong, Yuhang Lu, Nianjin Ye +3
Estimating homography from an image pair is a fundamental problem in image alignment. Unsupervised learning methods have received increasing attention in this field due to their pr…
Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection
Nianjin Ye, Chuan Wang, Haoqiang Fan +1
In this paper, we introduce a new framework for unsupervised deep homography estimation. Our contributions are 3 folds. First, unlike previous methods that regress 4 offsets for a…
OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
Kunming Luo, Chuan Wang, Nianjin Ye +2
Occlusion is an inevitable and critical problem in unsupervised optical flow learning. Existing methods either treat occlusions equally as non-occluded regions or simply remove the…
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
Nianjin Ye, Chuan Wang, Shuaicheng Liu +3
Image alignment by mesh warps, such as meshflow, is a fundamental task which has been widely applied in various vision applications(e.g., multi-frame HDR/denoising, video stabiliza…