Search Results for author:
Found 2 papers, 2 papers with code
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network
In this paper, we propose an optical flow-aided recurrent neural network for dual video SCI systems, which provides high-quality decoding in seconds.
Memory-Efficient Network for Large-scale Video Compressive Sensing
With the knowledge of masks, optimization algorithms or deep learning methods are employed to reconstruct the desired high-speed video frames from this snapshot measurement.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
