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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 576600 of 741 papers

TitleStatusHype
Towards Segmenting Anything That MovesCode0
Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation0
A Deep Learning Framework for Assessing Physical Rehabilitation ExercisesCode0
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach0
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic VideoCode1
Optimal local estimates of visual motion in a natural environment0
Taking a Deeper Look at the Inverse Compositional AlgorithmCode1
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view camerasCode0
DeepV2D: Video to Depth with Differentiable Structure from MotionCode0
A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting0
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging0
Real-time Indoor Scene Reconstruction with RGBD and Inertia Input0
Real-time high speed motion prediction using fast aperture-robust event-driven visual flow0
UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling0
Multi-hierarchical Independent Correlation Filters for Visual TrackingCode0
Learned Video Compression0
Topology-Aware Non-Rigid Point Cloud Registration0
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular VideosCode0
Self-Supervised Learning of Depth and Camera Motion from 360° Videos0
RGB-D SLAM in Dynamic Environments Using Point Correlations0
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging0
Variational Approach for Capsule Video Frame InterpolationCode0
Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain0
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
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