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Motion Compensation

Papers

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Showing 151–200 of 207 papers

TitleStatusHype
Uniformly Accelerated Motion Model for Inter Prediction—0
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds—0
A polar prediction model for learning to represent visual transformations—0
Predicting heave and surge motions of a semi-submersible with neural networks—0
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images—0
Unsupervised Deformable Image Registration for Respiratory Motion Compensation in Ultrasound Images—0
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving—0
Versatile Learned Video Compression—0
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking—0
Ray-Space Motion Compensation for Lenslet Plenoptic Video Coding—0
Analysis of mesh-based motion compensation in wavelet lifting of dynamical 3-D+t CT data—0
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation—0
A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video—0
Re-Evaluating LiDAR Scene Flow for Autonomous Driving—0
Region of Interest (ROI) Coding for Aerial Surveillance Video using AVC & HEVC—0
Research on dynamic target detection and tracking system of hexapod robot—0
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression—0
Residual Motion Compensation in Automotive MIMO SAR Imaging—0
Respiratory Rate Estimation from Face Videos—0
Retina-Inspired Object Motion Segmentation for Event-Cameras—0
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs—0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data—0
Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements—0
SAM4D: Segment Anything in Camera and LiDAR Streams—0
Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers—0
Scalable Lossless Coding of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Prediction and Update—0
Scale-Space Flow for End-to-End Optimized Video Compression—0
Video Compression With Rate-Distortion Autoencoders—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
Deformable Feature Alignment and Refinement for Moving Infrared Dim-small Target Detection—0
Denoising-based image reconstruction from pixels located at non-integer positions—0
SMORE: Simultaneous Map and Object REconstruction—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
Deep Learned Frame Prediction for Video Compression—0
Direction of Arrival Estimation Using Microphone Array Processing for Moving Humanoid Robots—0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
Efficient single image non-uniformity correction algorithm—0
End-to-End Learning of Video Super-Resolution with Motion Compensation—0
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation—0
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation—0
Enhanced Event-Based Video Reconstruction with Motion Compensation—0
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning—0
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging—0
EVA^2: Exploiting Temporal Redundancy in Live Computer Vision—0
Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation—0
Control of a Floating Wind Turbine on a Novel Actuated Platform—0
EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss—0
Space-Time Video Super-resolution with Neural Operator—0
Exploring the Distributed Video Coding in a Quality Assessment Context—0
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