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 with no code
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images
Motion artifacts can compromise the diagnostic value of computed tomography (CT) images.
Space-Time Video Super-resolution with Neural Operator
This paper addresses the task of space-time video super-resolution (ST-VSR).
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets
However, highly dynamic objects pose a unique challenge, as they can appear at different timestamps in each sensor's data.
Low-Latency Neural Stereo Streaming
The rise of new video modalities like virtual reality or autonomous driving has increased the demand for efficient multi-view video compression methods, both in terms of rate-distortion (R-D) performance and in terms of delay and runtime.
Object Segmentation-Assisted Inter Prediction for Versatile Video Coding
Moreover, segmentation mask is considered in the joint rate-distortion optimization for motion estimation and partition estimation to derive the motion vector of different regions and partition more accurately.
Enhanced Event-Based Video Reconstruction with Motion Compensation
To address this, we propose warping the input intensity frames and sparse codes to enhance reconstruction quality.
JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection
In spatial reasoning stage, we project the compensated events into the same image coordinate, discretize the timestamp of events to obtain a time image that can reflect the motion confidence, and further segment the moving object through adaptive threshold on the time image.
Learning Data Association for Multi-Object Tracking using Only Coordinates
We propose a novel Transformer-based module to address the data association problem for multi-object tracking.
MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT)
In four-dimensional computed tomography (4DCT), 3D images of moving or deforming samples are reconstructed from a set of 2D projection images.
LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression
To validate the effectiveness of our proposed LGMC, we integrate it with DCVC-TCM and obtain learned video compression with joint local and global motion compensation (LVC-LGMC).
