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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 201250 of 741 papers

TitleStatusHype
Dilated convolutional neural network-based deep reference picture generation for video compressionCode0
RCP: Recurrent Closest Point for Point CloudCode0
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal EchocardiographyCode0
Camera Motion Estimation from RGB-D-Inertial Scene FlowCode0
Bioinspired Visual Motion EstimationCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion EstimationCode0
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular VideosCode0
Multiframe Motion Coupling for Video Super ResolutionCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual TokensCode0
DenseNet for Dense FlowCode0
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow EstimationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural NetworksCode0
Minimal Solvers for Indoor UAV PositioningCode0
SiamMo: Siamese Motion-Centric 3D Object TrackingCode0
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion CompensationCode0
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual OdometryCode0
Automatic motion estimation with applicationsto hiPSC-CMsCode0
DeepV2D: Video to Depth with Differentiable Structure from MotionCode0
LOAM: Lidar Odometry and Mapping in Real-TimeCode0
DRIMET: Deep Registration for 3D Incompressible Motion Estimation in Tagged-MRI with Application to the TongueCode0
Estimating articulatory movements in speech production with transformer networksCode0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
Attribute-Driven Spontaneous Motion in Unpaired Image TranslationCode0
Sparse Representations for Object and Ego-motion Estimation in Dynamic ScenesCode0
Object-centered Fourier Motion Estimation and Segment-Transformation PredictionCode0
Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block MatchingCode0
Deep motion estimation for parallel inter-frame prediction in video compressionCode0
Event-based Star Tracking via Multiresolution Progressive Hough TransformsCode0
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance ImagingCode0
A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation LawsCode0
Deep Motion Blind Video StabilizationCode0
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field ImagesCode0
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion ExtractionCode0
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image SequencesCode0
Iterative Event-based Motion Segmentation by Variational Contrast MaximizationCode0
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view camerasCode0
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAMCode0
Improving Audio-Visual Segmentation with Bidirectional GenerationCode0
Learning to Compress Videos without Computing MotionCode0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
Decomposition of Optical Flow on the SphereCode0
IBVC: Interpolation-driven B-frame Video CompressionCode0
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance ImagingCode0
General Planar Motion from a Pair of 3D CorrespondencesCode0
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