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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 376400 of 741 papers

TitleStatusHype
Concurrent Tracking of Inliers and Outliers0
Condensing a Sequence to One Informative Frame for Video Recognition0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution0
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution0
A Framework for Fluid Motion Estimation using a Constraint-Based Refinement Approach0
Contact-Aware Retargeting of Skinned Motion0
Continuous-Time Human Motion Field from Events0
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment0
CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection0
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection0
CSMCNet: Scalable Video Compressive Sensing Reconstruction with Interpretable Motion Estimation0
Data-driven simulation for general purpose multibody dynamics using deep neural networks0
DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy0
Deep autofocus with cone-beam CT consistency constraint0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry0
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI0
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI0
Deep learning based fence segmentation and removal from an image using a video sequence0
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods0
DeepLO: Geometry-Aware Deep LiDAR Odometry0
Deep Parametric Continuous Convolutional Neural Networks0
Deep Reinforcement Learning with Iterative Shift for Visual Tracking0
Deep Statistic Shape Model for Myocardium Segmentation0
Learning-Based Video Coding with Joint Deep Compression and Enhancement0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry0
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