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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 221–230 of 741 papers

TitleStatusHype
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion—0
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI—0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
A modification of the conjugate direction method for motion estimation—0
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints—0
Error-Aware Spatial Ensembles for Video Frame Interpolation—0
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras—0
Estimating Body and Hand Motion in an Ego-sensed World—0
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution—0
DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos—0
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