6 papers
Ultrasensitive infrared-to-visible artificial vision via self-evolving projection guided by single-pixel detection
Yao Wang, Baolei Liu, Muchen Zhu +4
Infrared detection and visualization are essential for augmenting human perception across diverse fields, ranging from night vision to industrial inspection and bio-imaging. Conven…
Hessian sparsity-constrained self-supervised network for near-infrared single-photon single-pixel imaging
Yao Wang, Muchen Zhu, Linjun Zhai +6
Near-infrared (NIR) imaging has emerged as an important technology for night vision, remote sensing, and biological imaging, yet conventional array-detector-based systems are often…
Compressive hyperspectral phasor imaging with single-pixel detection for spectral tasks
Jiaqi Song, Baolei Liu, Muchen Zhu +5
Spectral vision task plays a pivotal role in extracting discriminative spectral-spatial features from high-dimensional data, enabling fine-grained identification beyond human visio…
Physics-informed neural network enhanced multispectral single-pixel imaging with a chip spectral sensor
Muchen Zhu, Baolei Liu, Yao Wang +6
Multispectral imaging (MSI) captures data across multiple spectral bands, offering enhanced informational depth compared to standard RGB imaging and benefiting diverse fields such…
Reconfigurable miniaturized computational spectrometer enabled by photoelastic effect
Linjun Zhai, Baolei Liu, Muchen Zhu +5
Miniatured computational spectrometers, distinguished by their compact size and lightweight, have shown great promise for on-chip and portable applications in the fields of healthc…
Exploiting scattering-based point spread functions for snapshot 5D and modality-switchable lensless imaging
Ze Zheng, Baolei Liu, Jiaqi Song +8
Snapshot multi-dimensional imaging offers a promising alternative to traditional low-dimensional imaging techniques by enabling the simultaneous capture of spatial, spectral, polar…