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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 326–350 of 741 papers

TitleStatusHype
Deep Statistic Shape Model for Myocardium Segmentation—0
Image-Space Gridding for Nonrigid Motion-Corrected MR Image Reconstruction—0
DeepLO: Geometry-Aware Deep LiDAR Odometry—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
Joint cardiac T_1 mapping and cardiac function estimation using a deep manifold framework—0
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients—0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
Joint Large-Scale Motion Estimation and Image Reconstruction—0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
Image Quality Assessment for Rigid Motion Compensation—0
Joint Optimization for 4D Human-Scene Reconstruction in the Wild—0
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods—0
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies—0
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization—0
Learning to Extract Motion from Videos in Convolutional Neural Networks—0
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image—0
DELTA: Dense Efficient Long-range 3D Tracking for any video—0
Deep learning based fence segmentation and removal from an image using a video sequence—0
Large Displacement Optical Flow from Nearest Neighbor Fields—0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling—0
Layered image motion with explicit occlusions, temporal consistency, and depth ordering—0
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask—0
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding—0
Learned Video Compression—0
A Fully-Connected Layered Model of Foreground and Background Flow—0
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