The pursuit of high-fidelity single-pixel 3D imaging has been limited by complex system calibration and extensive measurements. Here, we present a calibration-free photometric stereo framework that integrates Fourier single-pixel imaging with deep learning for efficient 3D reconstruction. A single-pixel system is devel...
Single-photon LiDAR (SP-LiDAR), with its extremely high sensitivity, is well suited for imaging in photon-sparse conditions and under strong background noise. However, most existing approaches rely on histogram accumulation; in dynamic scenes, histogram accumulation mixes time-of-arrival (ToA) events across motion, joi...
Siao Cai, Shun Lv, Zeyu Chen et al.· IEEE Transactions on Computa...· 0 citations
Vision foundation models (VFMs) pretrained on large-scale datasets have significantly improved performance in remote sensing semantic segmentation. However, existing methods typically rely on full fine-tuning, which requires updating all model parameters. Instead of updating the full parameter set, parameter-efficient...
Bin Wang, Shun Lv, Zhi Li et al.· IEEE Transactions on Geoscie...· 0 citations
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