1 citations · 3 across the 3 of their papers we have counts for
4 papers
Unsupervised Video Interpolation by Learning Multilayered 2.5D Motion Fields
Ziang Cheng, Shihao Jiang, Hongdong Li
The problem of video frame interpolation is to increase the temporal resolution of a low frame-rate video, by interpolating novel frames between existing temporally sparse frames.…
Learning Optical Flow from a Few Matches
Shihao Jiang, Yao Lu, Hongdong Li +1
State-of-the-art neural network models for optical flow estimation require a dense correlation volume at high resolutions for representing per-pixel displacement. Although the dens…
Learning to Estimate Hidden Motions with Global Motion Aggregation
Shihao Jiang, Dylan Campbell, Yao Lu +2
Occlusions pose a significant challenge to optical flow algorithms that rely on local evidences. We consider an occluded point to be one that is imaged in the first frame but not i…
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
Shihao Jiang, Dylan Campbell, Miaomiao Liu +2
We address the problem of joint optical flow and camera motion estimation in rigid scenes by incorporating geometric constraints into an unsupervised deep learning framework. Unlik…