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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 476–500 of 741 papers

TitleStatusHype
Spatial-Temporal Transformer based Video Compression Framework—0
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data—0
Spatiotemporal Imaging with Diffeomorphic Optimal Transportation—0
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks—0
SpeDo: 6 DOF Ego-Motion Sensor Using Speckle Defocus Imaging—0
Speech Map: A Statistical Multimodal Atlas of 4D Tongue Motion During Speech from Tagged and Cine MR Images—0
Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Cameras—0
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion—0
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations—0
Stable Camera Motion Estimation Using Convex Programming—0
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation—0
Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain—0
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving—0
Streaming Object Detection for 3-D Point Clouds—0
Superframes, A Temporal Video Segmentation—0
Supervising the new with the old: learning SFM from SFM—0
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion—0
Synthetic aperture imaging and motion estimation using tensor methods—0
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction—0
Taskology: Utilizing Task Relations at Scale—0
Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations—0
TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling—0
Temporally Coherent Person Matting Trained on Fake-Motion Dataset—0
Temporally Robust Global Motion Compensation by Keypoint-based Congealing—0
Temporal Super-Resolution using Multi-Channel Illumination Source—0
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