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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 351–375 of 741 papers

TitleStatusHype
Real-time Indoor Scene Reconstruction with RGBD and Inertia Input—0
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting—0
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video—0
Recursive Frequency Selective Reconstruction of Non-Regularly Sampled Video Data—0
Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation—0
Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences—0
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging—0
ResearchDoom and CocoDoom: Learning Computer Vision with Games—0
ResFlow: Fine-tuning Residual Optical Flow for Event-based High Temporal Resolution Motion Estimation—0
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression—0
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs—0
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning—0
RGB-D SLAM in Dynamic Environments Using Point Correlations—0
Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements—0
RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior—0
RIOT: Recursive Inertial Odometry Transformer for Localisation from Low-Cost IMU Measurements—0
Robust and Efficient Relative Pose with a Multi-camera System for Autonomous Vehicle in Highly Dynamic Environments—0
Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank-Topology-Preserving Approach—0
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association—0
Robust Video Background Identification by Dominant Rigid Motion Estimation—0
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment—0
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking—0
Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template—0
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model—0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
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