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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 626–650 of 741 papers

TitleStatusHype
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling—0
Error-Aware Spatial Ensembles for Video Frame Interpolation—0
Estimating Body and Hand Motion in an Ego-sensed World—0
Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow—0
Eulerian Single-Photon Vision—0
EVA^2: Exploiting Temporal Redundancy in Live Computer Vision—0
Event-based Star Tracking via Multiresolution Progressive Hough Transforms—0
Event-based vision for egomotion estimation using precise event timing—0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars—0
EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation—0
E-VLC: A Real-World Dataset for Event-based Visible Light Communication And Localization—0
Evolution of Visual Odometry Techniques—0
Exact Bias Correction and Covariance Estimation for Stereo Vision—0
Expectation-Maximization Technique and Spatial-Adaptation Applied to Pel-Recursive Motion Estimation—0
Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection—0
Exploiting polar symmetry in designing equivariant observers for vision-based motion estimation—0
Exploring the Distributed Video Coding in a Quality Assessment Context—0
Fast and Reliable Two-View Translation Estimation—0
Fast Event-based Optical Flow Estimation by Triplet Matching—0
Fast-OMRA: Fast Online Motion Resolution Adaptation for Neural B-Frame Coding—0
Fast Piecewise-Affine Motion Estimation Without Segmentation—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach—0
Five-point Fundamental Matrix Estimation for Uncalibrated Cameras—0
FLAVC: Learned Video Compression with Feature Level Attention—0
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