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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 621–630 of 741 papers

TitleStatusHype
Digging Into Self-Supervised Monocular Depth EstimationCode1
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking—0
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion CompensationCode0
Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging—0
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion SegmentationCode0
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention NetworksCode1
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video—0
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients—0
QuaterNet: A Quaternion-based Recurrent Model for Human MotionCode0
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask—0
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