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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 541–550 of 741 papers

TitleStatusHype
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor—0
Pose Estimation for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization—0
Data-driven simulation for general purpose multibody dynamics using deep neural networks—0
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging—0
Mocycle-GAN: Unpaired Video-to-Video Translation—0
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space—0
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation NetworkCode0
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling—0
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