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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 501525 of 741 papers

TitleStatusHype
Globally Optimal Contrast Maximisation for Event-based Motion Estimation0
Improvements of Motion Estimation and Coding using Neural Networks0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell0
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking0
Self-Supervised Linear Motion DeblurringCode1
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies0
Unsupervised Learning of Camera Pose with Compositional Re-estimation0
Synthetic aperture imaging and motion estimation using tensor methods0
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering0
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints0
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation0
Minimal Solutions for Relative Pose with a Single Affine Correspondence0
Joint Forward-Backward Visual Odometry for Stereo Cameras0
Instance-wise Depth and Motion Learning from Monocular VideosCode1
Deep motion estimation for parallel inter-frame prediction in video compressionCode0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
Deep autofocus with cone-beam CT consistency constraint0
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
AlignNet-3D: Fast Point Cloud Registration of Partially Observed ObjectsCode0
Image Quality Assessment for Rigid Motion Compensation0
Two Stream Networks for Self-Supervised Ego-Motion Estimation0
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)0
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement LearningCode0
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression0
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