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Found 2 papers, 1 papers with code
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
In this paper, we propose a novel Deformable U-Net (DeU-Net) to fully exploit spatio-temporal information from 3D cardiac MRI video, including a Temporal Deformable Aggregation Module (TDAM) and a Deformable Global Position Attention (DGPA) network.
Spatio-temporal deformable convolution for compressed video quality enhancement
Recent years have witnessed remarkable success of deep learning methods in quality enhancement for compressed video.
Ranked #3 on
Video Enhancement
on MFQE v2
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