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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 211–220 of 741 papers

TitleStatusHype
CGCV:Context Guided Correlation Volume for Optical Flow Neural Networks—0
EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering—0
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion—0
End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders—0
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression—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
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