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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 301–350 of 741 papers

TitleStatusHype
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile—0
Integrating Dashcam Views Through Inter-Video Mapping—0
Instantaneous Perception of Moving Objects in 3D—0
Long-term Video Frame Interpolation via Feature Propagation—0
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision—0
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning—0
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression—0
Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?—0
Deep Reinforcement Learning with Iterative Shift for Visual Tracking—0
Indoor Navigation Assistance for Visually Impaired People via Dynamic SLAM and Panoptic Segmentation with an RGB-D Sensor—0
Deep Parametric Continuous Convolutional Neural Networks—0
Improving HEVC Encoding of Rendered Video Data Using True Motion Information—0
Attacking Motion Estimation with Adversarial Snow—0
Agent Prioritization for Autonomous Navigation—0
Initialization of Monocular Visual Navigation for Autonomous Agents Using Modified Structure from Small Motion—0
Learning to Extract Motion from Videos in Convolutional Neural Networks—0
Improvements of Motion Estimation and Coding using Neural Networks—0
Improved Motion Plane Adaptive 360-Degree Video Compression Using Affine Motion Models—0
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence—0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection—0
Intrinsic Temporal Regularization for High-resolution Human Video Synthesis—0
AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression—0
IM-Net for High Resolution Video Frame Interpolation—0
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?—0
Deep Statistic Shape Model for Myocardium Segmentation—0
IVCA: Inter-Relation-Aware Video Complexity Analyzer—0
Image-Space Gridding for Nonrigid Motion-Corrected MR Image Reconstruction—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
Joint cardiac T_1 mapping and cardiac function estimation using a deep manifold framework—0
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients—0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
Joint Large-Scale Motion Estimation and Image Reconstruction—0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
Joint Optimization for 4D Human-Scene Reconstruction in the Wild—0
DeepLO: Geometry-Aware Deep LiDAR Odometry—0
Image Quality Assessment for Rigid Motion Compensation—0
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods—0
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies—0
Learning to Segment Moving Objects—0
DELTA: Dense Efficient Long-range 3D Tracking for any video—0
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image—0
Large Displacement Optical Flow from Nearest Neighbor Fields—0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling—0
Layered image motion with explicit occlusions, temporal consistency, and depth ordering—0
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask—0
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding—0
Learned Video Compression—0
Deep learning based fence segmentation and removal from an image using a video sequence—0
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