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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 351–375 of 741 papers

TitleStatusHype
A data set providing synthetic and real-world fisheye video sequences—0
A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection—0
Temporal Super-Resolution using Multi-Channel Illumination Source—0
The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge—0
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution—0
Generalizable Deepfake Detection with Phase-Based Motion Analysis—0
GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking—0
Attacking Motion Estimation with Adversarial Snow—0
Motion estimation and filtered prediction for dynamic point cloud attribute compression—0
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution—0
Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals—0
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics—0
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging—0
Visual Odometry with Neuromorphic Resonator Networks—0
A Multi-scale Video Denoising Algorithm for Raw Image—0
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning—0
Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane ImagesCode0
Visual Pursuit Control based on Gaussian Processes with Switched Motion TrajectoriesCode0
A new way of video compression via forward-referencing using deep learning—0
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI—0
Error-Aware Spatial Ensembles for Video Frame Interpolation—0
Deep Statistic Shape Model for Myocardium Segmentation—0
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks—0
Ego-motion Estimation Based on Fusion of Images and EventsCode0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
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