activity
20222025
most citedAutoDeconJ: a GPU accelerated ImageJ plugin for 3D light field deconvolution with optimal iteration numbers predicting

7 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025★ 1 cited

Inter-event Interval Microscopy for Event Cameras

Changqing Su, Yanqin Chen, Zihan Lin +5

Event cameras, an innovative bio-inspired sensor, differ from traditional cameras by sensing changes in intensity rather than directly perceiving intensity and recording these vari…

cs.CV2025

Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Cameras

Yunzhong Zhang, Bo Xiong, You Zhou +5

Particle Image Velocimetry (PIV) is a widely adopted non-invasive imaging technique that tracks the motion of tracer particles across image sequences to capture the velocity distri…

eess.IV2023

TD-Net: A Tri-domain network for sparse-view CT reconstruction

Xinyuan Wang, Changqing Su, Bo Xiong

Sparse-view CT reconstruction, aimed at reducing X-ray radiation risks, frequently suffers from image quality degradation, manifested as noise and artifacts. Existing post-processi…

eess.IV2023

INeAT: Iterative Neural Adaptive Tomography

Bo Xiong, Changqing Su, Zihan Lin +2

Computed Tomography (CT) with its remarkable capability for three-dimensional imaging from multiple projections, enjoys a broad range of applications in clinical diagnosis, scienti…

eess.IV2023

PC-bzip2: a phase-space continuity enhanced lossless compression algorithm for light field microscopy data

Changqing Su, Zihan Lin, You Zhou +4

Light-field fluorescence microscopy (LFM) is a powerful elegant compact method for long-term high-speed imaging of complex biological systems, such as neuron activities and rapid m…

cs.IT2022★ 7 cited

AutoDeconJ: a GPU accelerated ImageJ plugin for 3D light field deconvolution with optimal iteration numbers predicting

C. Q. Su, Y. H Gao, Y Zhou +4

Light field microscopy is a compact solution to high-speed 3D fluorescence imaging. Usually, we need to do 3D deconvolution to the captured raw data. Although there are deep neural…