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Motion Estimation

Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.

Source: MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

Papers

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Showing 621–630 of 741 papers

TitleStatusHype
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration—0
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image SequencesCode0
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds—0
Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging—0
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking—0
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion CompensationCode0
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion SegmentationCode0
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video—0
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients—0
QuaterNet: A Quaternion-based Recurrent Model for Human MotionCode0
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