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cs.CV2021★ 1 cited
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…
cs.CV2021
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…