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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

Showing 451475 of 741 papers

TitleStatusHype
Anatomy-Aware Cardiac Motion Estimation0
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection0
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression0
Polarized Optical-Flow Gyroscope0
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Robust Ego and Object 6-DoF Motion Estimation and TrackingCode1
Perpetual Motion: Generating Unbounded Human Motion0
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Using modern motion estimation algorithms in existing video codecs0
Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences0
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
Real-time Dense Reconstruction of Tissue Surface from Stereo Optical Video0
Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?0
Monitoring of Critical Infrastructures by Micro-Motion Estimation: the Mosul Dam Destabilization0
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer0
IMU Preintegrated Features for Efficient Deep Inertial Odometry0
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments0
A Multi-spectral Dataset for Evaluating Motion Estimation SystemsCode1
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation0
Appearance Learning for Image-based Motion Estimation in Tomography0
Multiple Video Frame Interpolation via Enhanced Deformable Separable ConvolutionCode1
Adaptively Meshed Video Stabilization0
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation0
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