Motion Compensation
61 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Motion Compensation
RGB-DAVIS Dataset
Latest papers
BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking
To utilize low-detection score bounding boxes in one-stage association, we propose to boost the confidence scores of two groups of detections: the detections we assume to correspond to the existing tracked object, and the detections we assume to correspond to a previously undetected object.
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data
technioncomputationalmrilab/qdwi-morph
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IVIM-morph combines two sub-networks, a registration sub-network, and an IVIM model fitting sub-network, enabling simultaneous estimation of IVIM model parameters and motion.
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
corfyi/ucmctrack
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In response to this, we introduce UCMCTrack, a novel motion model-based tracker robust to camera movements.
Geometry-Corrected Geodesic Motion Modeling with Per-Frame Camera Motion for 360-Degree Video Compression
The large amounts of data associated with 360-degree video require highly effective compression techniques for efficient storage and distribution.
IBVC: Interpolation-driven B-frame Video Compression
ruhig6/ibvc
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Learned B-frame video compression aims to adopt bi-directional motion estimation and motion compensation (MEMC) coding for middle frame reconstruction.
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
haesoochung/lan-hdr
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ICCV 2023
In this paper, we propose an end-to-end HDR video composition framework, which aligns LDR frames in the feature space and then merges aligned features into an HDR frame, without relying on pixel-domain optical flow.
High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation
haesoochung/hdri-saturation-compensation
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For HDR imaging, some methods capture multiple low dynamic range (LDR) images with altering exposures to aggregate more information.
Pedestrian Environment Model for Automated Driving
holzbock/ped_env
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We only use images from a monocular camera and the vehicle's localization data as input to our pedestrian environment model.
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression
KUIS-AI-Tekalp-Research-Group/video-compression
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The lack of ability to adapt the motion compensation model to video content is an important limitation of current end-to-end learned video compression models.
Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
The obtained results showed that, while using only three DWs as input, the CNN-based approach yielded an image quality and a motion accuracy equivalent to those obtained by compounding 31 DWs free of motion artifacts.
