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cs.CV2026
Deep Probabilistic Unfolding for Quantized Compressive Sensing
Gang Qu, Ping Wang, Siming Zheng +1
We propose a deep probabilistic unfolding model to address the classical quantized compressive sensing problem that leverages an unfolding framework to enhance the reconstruction a…
cs.CV2025★ 1 cited
Physics-guided Deep Unfolding Network for Enhanced Kronecker Compressive sensing
Gang Qu, Ping Wang, Siming Zheng +1
Deep networks have achieved remarkable success in image compressed sensing (CS) task, namely reconstructing a high-fidelity image from its compressed measurement. However, existing…
cs.CV2024
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
Gang Qu, Ping Wang, Xin Yuan
Single-pixel imaging (SPI) is a potential computational imaging technique which produces image by solving an illposed reconstruction problem from few measurements captured by a sin…