SOTAVerified

Motion Compensation

Papers

Showing 76100 of 207 papers

TitleStatusHype
HEVC Inter Coding Using Deep Recurrent Neural Networks and Artificial Reference Pictures0
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling0
Graph-Based Compensated Wavelet Lifting for Scalable Lossless Coding of Dynamic Medical Data0
Deep Learned Frame Prediction for Video Compression0
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning0
HiMo: High-Speed Objects Motion Compensation in Point Clouds0
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning0
A Quantitative Approach To The Temporal Dependency in Video Coding0
Learning-Based Video Coding with Joint Deep Compression and Enhancement0
Image Quality Assessment for Rigid Motion Compensation0
Fusion of Inverse Synthetic Aperture Radar and Camera Images for Automotive Target Tracking0
Frame-Recurrent Video Super-Resolution0
Fractional Motion Estimation for Point Cloud Compression0
Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation0
Improvements of Motion Estimation and Coding using Neural Networks0
Improving block-based compensated wavelet lifting by reconstructing unconnected pixels0
Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets0
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters0
JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection0
Control of a Floating Wind Turbine on a Novel Actuated Platform0
Analysis of mesh-based motion compensation in wavelet lifting of dynamical 3-D+t CT data0
Inter-Frame Compression for Dynamic Point Cloud Geometry Coding0
FLAVC: Learned Video Compression with Feature Level Attention0
A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset0
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