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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 421–430 of 741 papers

TitleStatusHype
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Efficient and Robust Registration on the 3D Special Euclidean Group—0
Efficient Computation of Relative Pose for Multi-Camera Systems—0
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles—0
Efficient Video Neural Network Processing Based on Motion Estimation—0
EgoCast: Forecasting Egocentric Human Pose in the Wild—0
EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System—0
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection—0
EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation—0
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