15 citations · 27 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…