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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 401–425 of 741 papers

TitleStatusHype
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning—0
DELTA: Dense Efficient Long-range 3D Tracking for any video—0
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors—0
Dense Motion Estimation for Smoke—0
Dense Optical Flow Estimation Using Sparse Regularizers from Reduced Measurements—0
Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern—0
Dense Segmentation-Aware Descriptors—0
Dense Visual Odometry Using Genetic Algorithm—0
Determining Motion Directly from Normal Flows Upon the Use of a Spherical Eye Platform—0
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance—0
DiffPoseNet: Direct Differentiable Camera Pose Estimation—0
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections—0
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model—0
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments—0
Direct Structure Estimation for 3D Reconstruction—0
Divergence-Based Adaptive Extreme Video Completion—0
DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos—0
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints—0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Efficient and Robust Registration on the 3D Special Euclidean Group—0
Efficient Computation of Relative Pose for Multi-Camera Systems—0
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles—0
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