74 citations · 156 across the 14 of their papers we have counts for
26 papers
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging
Lishun Wang, Miao Cao, Yong Zhong +1
Video snapshot compressive imaging (SCI) captures multiple sequential video frames by a single measurement using the idea of computational imaging. The underlying principle is to m…
Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging
Zongliang Wu, Chengshuai Yang, Xiongfei Su +1
Video Snapshot compressive imaging (SCI) is a promising technique to capture high-speed videos, which transforms the imaging speed from the detector to mask modulating and only nee…
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network
Ruiying Lu, Bo Chen, Guanliang Liu +3
Dual-view snapshot compressive imaging (SCI) aims to capture videos from two field-of-views (FoVs) using a 2D sensor (detector) in a single snapshot, achieving joint FoV and tempor…
10-mega pixel snapshot compressive imaging with a hybrid coded aperture
Zhihong Zhang, Chao Deng, Yang Liu +3
High resolution images are widely used in our daily life, whereas high-speed video capture is challenging due to the low frame rate of cameras working at the high resolution mode.…
Reinforcement Learning for Adaptive Video Compressive Sensing
Sidi Lu, Xin Yuan, Aggelos K Katsaggelos +1
We apply reinforcement learning to video compressive sensing to adapt the compression ratio. Specifically, video snapshot compressive imaging (SCI), which captures high-speed video…
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
Xiu Li, Jinli Suo, Weihang Zhang +2
High quality imaging usually requires bulky and expensive lenses to compensate geometric and chromatic aberrations. This poses high constraints on the optical hash or low cost appl…