3 citations · 5 across the 14 of their papers we have counts for
4 papers · 1 filter
Learning Efficient Meshflow and Optical Flow from Event Cameras
Xinglong Luo, Ao Luo, Kunming Luo +4
In this paper, we explore the problem of event-based meshflow estimation, a novel task that involves predicting a spatially smooth sparse motion field from event cameras. To start,…
Estimating 2D Camera Motion with Hybrid Motion Basis
Haipeng Li, Tianhao Zhou, Zhanglei Yang +6
Estimating 2D camera motion is a fundamental computer vision task that models the projection of 3D camera movements onto the 2D image plane. Current methods rely on either homograp…
Coding-Prior Guided Diffusion Network for Video Deblurring
Yike Liu, Jianhui Zhang, Haipeng Li +2
While recent video deblurring methods have advanced significantly, they often overlook two valuable prior information: (1) motion vectors (MVs) and coding residuals (CRs) from vide…
CodingHomo: Bootstrapping Deep Homography With Video Coding
Yike Liu, Haipeng Li, Shuaicheng Liu +1
Homography estimation is a fundamental task in computer vision with applications in diverse fields. Recent advances in deep learning have improved homography estimation, particular…