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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 401–425 of 741 papers

TitleStatusHype
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple MasksCode1
Full Surround Monodepth from Multiple Cameras—0
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI—0
Finding Geometric Models by Clustering in the Consensus SpaceCode1
Revisiting Self-Supervised Monocular Depth EstimationCode0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling—0
Motion Estimation for Optical Coherence Elastography Using Signal Phase and Intensity—0
Fast and Accurate: Video Enhancement using Sparse Depth—0
Spatiotemporal Registration for Event-based Visual OdometryCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
A Pose-only Solution to Visual Reconstruction and NavigationCode1
Scalable Scene Flow from Point Clouds in the Real WorldCode1
Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency LossCode1
Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements—0
Relying on a rate constraint to reduce Motion Estimation complexityCode0
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection ConsistencyCode1
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
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan SynchronizationCode1
Deep Parametric Continuous Convolutional Neural Networks—0
A general framework for modeling and dynamic simulation of multibody systems using factor graphsCode1
CNN-based Ego-Motion Estimation for Fast MAV ManeuversCode1
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?—0
3D Human motion anticipation and classification—0
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