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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 501–550 of 741 papers

TitleStatusHype
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data—0
Divergence-Based Adaptive Extreme Video Completion—0
Object-centered Fourier Motion Estimation and Segment-Transformation PredictionCode0
Optical Flow Estimation in the Deep Learning Age—0
Minimal Solvers for Indoor UAV PositioningCode0
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow—0
Maximum Likelihood Speed Estimation of Moving Objects in Video Signals—0
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation—0
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization—0
Globally Optimal Contrast Maximisation for Event-based Motion Estimation—0
Improvements of Motion Estimation and Coding using Neural Networks—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking—0
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies—0
Unsupervised Learning of Camera Pose with Compositional Re-estimation—0
Synthetic aperture imaging and motion estimation using tensor methods—0
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering—0
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints—0
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation—0
Minimal Solutions for Relative Pose with a Single Affine Correspondence—0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
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 constraint—0
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods—0
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 Compensation—0
Two Stream Networks for Self-Supervised Ego-Motion Estimation—0
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)—0
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion—0
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement LearningCode0
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation—0
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression—0
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal CorrelationsCode0
X-ray and Visible Spectra Circular Motion Images DatasetCode0
Rank Constrained Diffeomorphic Density Motion Estimation for Respiratory Correlated Computed Tomography—0
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association—0
Agent Prioritization for Autonomous Navigation—0
Learning Residual Flow as Dynamic Motion from Stereo Videos—0
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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