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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 626650 of 741 papers

TitleStatusHype
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion CompensationCode0
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion SegmentationCode0
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video0
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients0
QuaterNet: A Quaternion-based Recurrent Model for Human MotionCode0
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask0
A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation LawsCode0
Evolution of Visual Odometry Techniques0
Superframes, A Temporal Video Segmentation0
SpatioTemporal Feature Integration and Model Fusion for Full Reference Video Quality AssessmentCode0
3D Fluid Flow Estimation with Integrated Particle ReconstructionCode0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars0
Vibration-Based Damage Detection in Wind Turbine Blades using Phase-Based Motion Estimation and Motion Magnification0
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos0
EVA^2: Exploiting Temporal Redundancy in Live Computer Vision0
A Perceptual Based Motion Compensation Technique for Video Coding0
Exploring the Distributed Video Coding in a Quality Assessment Context0
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera PoseCode0
Real-Time Deep Learning Method for Abandoned Luggage Detection in Video0
Five-point Fundamental Matrix Estimation for Uncalibrated Cameras0
Fast Piecewise-Affine Motion Estimation Without Segmentation0
Learning to Segment Moving Objects0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?0
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural NetworksCode0
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