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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 271–280 of 741 papers

TitleStatusHype
Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals—0
Oflib: Facilitating Operations with and on Optical Flow Fields in PythonCode1
Micro Expression Generation with Thin-plate Spline Motion Model and Face ParsingCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics—0
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging—0
Visual Odometry with Neuromorphic Resonator Networks—0
A Multi-scale Video Denoising Algorithm for Raw Image—0
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning—0
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial OdometryCode1
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