8 citations · 13 across the 4 of their papers we have counts for
4 papers
Self-Supervised Scalable Deep Compressed Sensing
Bin Chen, Xuanyu Zhang, Shuai Liu +2
Compressed sensing (CS) is a promising tool for reducing sampling costs. Current deep neural network (NN)-based CS methods face the challenges of collecting labeled measurement-gro…
Progressive Content-aware Coded Hyperspectral Compressive Imaging
Xuanyu Zhang, Bin Chen, Wenzhen Zou +4
Hyperspectral imaging plays a pivotal role in a wide range of applications, like remote sensing, medicine, and cytology. By acquiring 3D hyperspectral images (HSIs) via 2D sensors,…
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing
Weiqi Li, Bin Chen, Shuai Liu +4
By mapping iterative optimization algorithms into neural networks (NNs), deep unfolding networks (DUNs) exhibit well-defined and interpretable structures and achieve remarkable suc…
Lensless coherent diffraction imaging based on spatial light modulator with unknown modulation curve
Hao Sha, Chao He, Shaowei Jiang +6
Lensless imaging is a popular research field for the advantages of small size, wide field-of-view and low aberration in recent years. However, some traditional lensless imaging met…