15 citations · 27 across the 9 of their papers we have counts for
9 papers
Sparse Transformer for Ultra-sparse Sampled Video Compressive Sensing
Miao Cao, Siming Zheng, Lishun Wang +3
Digital cameras consume ~0.1 microjoule per pixel to capture and encode video, resulting in a power usage of ~20W for a 4K sensor operating at 30 fps. Imagining gigapixel cameras o…
Towards Real-time Video Compressive Sensing on Mobile Devices
Miao Cao, Lishun Wang, Huan Wang +2
Video Snapshot Compressive Imaging (SCI) uses a low-speed 2D camera to capture high-speed scenes as snapshot compressed measurements, followed by a reconstruction algorithm to retr…
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging
Ping Wang, Yulun Zhang, Lishun Wang +1
Transformers have achieved the state-of-the-art performance on solving the inverse problem of Snapshot Compressive Imaging (SCI) for video, whose ill-posedness is rooted in the mix…
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
Miao Cao, Lishun Wang, Huan Wang +1
Video Snapshot Compressive Imaging (SCI) aims to use a low-speed 2D camera to capture high-speed scene as snapshot compressed measurements, followed by a reconstruction algorithm t…
Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction
Jincheng Yang, Lishun Wang, Miao Cao +3
We study the inverse problem of Coded Aperture Snapshot Spectral Imaging (CASSI), which captures a spatial-spectral data cube using snapshot 2D measurements and uses algorithms to…
Deep Optics for Video Snapshot Compressive Imaging
Ping Wang, Lishun Wang, Xin Yuan
Video snapshot compressive imaging (SCI) aims to capture a sequence of video frames with only a single shot of a 2D detector, whose backbones rest in optical modulation patterns (a…
EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging
Lishun Wang, Miao Cao, Xin Yuan
Video snapshot compressive imaging (SCI) uses a two-dimensional detector to capture consecutive video frames during a single exposure time. Following this, an efficient reconstruct…
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…
Spectral Compressive Imaging Reconstruction Using Convolution and Contextual Transformer
Lishun Wang, Zongliang Wu, Yong Zhong +1
Spectral compressive imaging (SCI) is able to encode the high-dimensional hyperspectral image to a 2D measurement, and then uses algorithms to reconstruct the spatio-spectral data-…