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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 176200 of 741 papers

TitleStatusHype
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Camera Motion Estimation from RGB-D-Inertial Scene FlowCode0
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
Neural Maximum A Posteriori Estimation on Unpaired Data for Motion DeblurringCode0
Object-centered Fourier Motion Estimation and Segment-Transformation PredictionCode0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
Multiframe Motion Coupling for Video Super ResolutionCode0
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal EchocardiographyCode0
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion EstimationCode0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow EstimationCode0
AlignNet-3D: Fast Point Cloud Registration of Partially Observed ObjectsCode0
Dilated convolutional neural network-based deep reference picture generation for video compressionCode0
Bioinspired Visual Motion EstimationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Minimal Solvers for Indoor UAV PositioningCode0
LOAM: Lidar Odometry and Mapping in Real-TimeCode0
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular VideosCode0
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual OdometryCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
Learning to Compress Videos without Computing MotionCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual TokensCode0
DenseNet for Dense FlowCode0
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