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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 121–130 of 741 papers

TitleStatusHype
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error ModelingCode1
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
A Pose-only Solution to Visual Reconstruction and NavigationCode1
Optical Flow Estimation for Spiking CameraCode1
Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity PriorCode1
Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion EstimationCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention NetworksCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep LearningCode1
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