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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 711–720 of 741 papers

TitleStatusHype
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation—0
Learning Residual Flow as Dynamic Motion from Stereo Videos—0
Learning to encode motion using spatio-temporal synchrony—0
Learning to Extract Motion from Videos in Convolutional Neural Networks—0
Learning to Segment Moving Objects—0
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection—0
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation—0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression—0
Pose Estimation for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization—0
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