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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 501525 of 741 papers

TitleStatusHype
The FlEye camera: Sampling the joint distribution of natural scenes and motion0
The Misty Three Point Algorithm for Relative Pose0
The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge0
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion0
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion0
TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking0
Topology-Aware Non-Rigid Point Cloud Registration0
Towards an Automated Image De-fencing Algorithm Using Sparsity0
Towards Visual Ego-motion Learning in Robots0
Continuous 3D Myocardial Motion Tracking via Echocardiography0
Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking0
Tracking Individual Targets in High Density Crowd Scenes Analysis of a Video Recording in Hajj 20090
Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging0
Tracking Single-Cells in Overcrowded Bacterial Colonies0
Tracking via Motion Estimation with Physically Motivated Inter-Region Constraints0
TransFlow: Transformer as Flow Learner0
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild0
Triple Motion Estimation and Frame Interpolation based on Adaptive Threshold for Frame Rate Up-Conversion0
Two Stream Networks for Self-Supervised Ego-Motion Estimation0
UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation0
U-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation0
Uncertainty-Aware Deep Video Compression with Ensembles0
Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation0
UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling0
Uniformly Accelerated Motion Model for Inter Prediction0
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