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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 451–475 of 741 papers

TitleStatusHype
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow—0
Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications—0
Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing—0
Deep Parametric Continuous Convolutional Neural Networks—0
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?—0
3D Human motion anticipation and classification—0
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos—0
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding—0
Intrinsic Temporal Regularization for High-resolution Human Video Synthesis—0
Motion-based Camera Localization System in Colonoscopy Videos—0
Spatiotemporal Imaging with Diffeomorphic Optimal Transportation—0
A Framework for Fluid Motion Estimation using a Constraint-Based Refinement Approach—0
Deep Motion Blind Video StabilizationCode0
Joint Super-Resolution and Rectification for Solar Cell Inspection—0
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions—0
Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern—0
PSF-LO: Parameterized Semantic Features Based Lidar Odometry—0
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors—0
Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking—0
Measuring breathing induced oesophageal motion and its dosimetric impact—0
Learning to Compress Videos without Computing MotionCode0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy—0
Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning—0
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking—0
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