Mar 5, 2020 � In this paper, we propose a novel video CS framework based on a convolutional neural network (dubbed VCSNet) to explore both intraframe and�...

In this paper, we propose a new video CS framework with a CNN to achieve better video reconstruction quality with faster running speed. III. VIDEO COMPRESSED�...

This is the test code for our TCSVT paper "Video Compressed Sensing Using a Convolutional Neural Network". - wzhshi/TCSVT-VCSNet.

Mar 9, 2020 � In this paper, we propose a novel video CS framework based on a convolutional neural network (dubbed VCSNet) to explore both intraframe and�...

Mar 4, 2021 � In this paper, we develop a memory-efficient network for large-scale video SCI based on multi-group reversible 3D convolutional neural networks.

Apr 18, 2021 � ID 139 Sar Compressed Sensing Based On Convolutional Neural Network. 278 views � 3 ...
Duration: 4:28
Posted: Apr 18, 2021

Aug 31, 2024 � This paper provides a review of the advancements in video compressive sensing over the past decade. Research gaps and future directions towards real-world�...

A deep neural network architecture called CSVideoNet that can learn visual representations from random measurements for compressive sensing (CS) video�...

DCNN (Deep Convolutional Neural Network) is a multi-layer NN concept with a deep learning approach in the field of artificial intelligence development. This�...

Aug 30, 2021 � Video Compressed Sensing Using a Convolutional Neural Network IEEE PROJECTS 2021 ...
Duration: 1:27
Posted: Aug 30, 2021