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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 201–225 of 741 papers

TitleStatusHype
A Multi-scale Video Denoising Algorithm for Raw Image—0
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems—0
Efficient Computation of Relative Pose for Multi-Camera Systems—0
Efficient and Robust Registration on the 3D Special Euclidean Group—0
BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding—0
Efficient Video Neural Network Processing Based on Motion Estimation—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?—0
EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System—0
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection—0
CGCV:Context Guided Correlation Volume for Optical Flow Neural Networks—0
EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation—0
Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation—0
3D Video Stabilization With Depth Estimation by CNN-Based Optimization—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders—0
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression—0
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering—0
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion—0
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs—0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI—0
A modification of the conjugate direction method for motion estimation—0
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints—0
DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos—0
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