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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 551–600 of 741 papers

TitleStatusHype
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations—0
XVO: Generalized Visual Odometry via Cross-Modal Self-Training—0
Visual Odometry with Neuromorphic Resonator Networks—0
New starting point registration method for tagged MRI tongue motion estimation—0
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow—0
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models—0
Novel Approach To Synchronisation Of Wearable IMUs Based On Magnetometers—0
Novel Super-Resolution Method Based on High Order Nonlocal-Means—0
Object-centric 3D Motion Field for Robot Learning from Human Videos—0
Object Segmentation-Assisted Inter Prediction for Versatile Video Coding—0
Occlusion Detection and Motion Estimation with Convex Optimization—0
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking—0
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving—0
Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery—0
Offline and Online Optical Flow Enhancement for Deep Video Compression—0
OMRA: Online Motion Resolution Adaptation to Remedy Domain Shift in Learned Hierarchical B-frame Coding—0
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling—0
On Optical Flow Models for Variational Motion Estimation—0
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare—0
Optical Flow-based 3D Human Motion Estimation from Monocular Video—0
Optical Flow Estimation in the Deep Learning Age—0
Optical Flow in Mostly Rigid Scenes—0
Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing—0
Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data—0
Optical Flow on Evolving Surfaces with Space and Time Regularisation—0
Optimal local estimates of visual motion in a natural environment—0
ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation—0
oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving—0
PACE: Human and Camera Motion Estimation from in-the-wild Videos—0
Panoramas from Photons—0
Patch based Colour Transfer using SIFT Flow—0
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer—0
PEA265: Perceptual Assessment of Video Compression Artifacts—0
Performance Analysis of Automotive SAR With Radar Based Motion Estimation—0
Perpetual Motion: Generating Unbounded Human Motion—0
PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior—0
Physics-based Human Motion Estimation and Synthesis from Videos—0
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds—0
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds—0
Polarized Optical-Flow Gyroscope—0
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning—0
Pose from Flow and Flow from Pose—0
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos—0
Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation—0
IMU Preintegrated Features for Efficient Deep Inertial Odometry—0
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry—0
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network—0
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network—0
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation—0
PSF-LO: Parameterized Semantic Features Based Lidar Odometry—0
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