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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 611–620 of 741 papers

TitleStatusHype
Real-Time Deep Learning Method for Abandoned Luggage Detection in Video—0
Real-time Dense Reconstruction of Tissue Surface from Stereo Optical Video—0
Real-time Indoor Scene Reconstruction with RGBD and Inertia Input—0
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting—0
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video—0
Recursive Frequency Selective Reconstruction of Non-Regularly Sampled Video Data—0
Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation—0
Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences—0
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging—0
ResearchDoom and CocoDoom: Learning Computer Vision with Games—0
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