93 citations · 101 across the 10 of their papers we have counts for
10 papers
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Tasks
Chengliang Wang, Xinrun Chen, Haojian Ning +1
In the analysis of optical coherence tomography angiography (OCTA) images, the operation of segmenting specific targets is necessary. Existing methods typically train on supervised…
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset
Haojian Ning, Chengliang Wang, Xinrun Chen +1
Optical coherence tomography angiography (OCTA) is a noninvasive imaging technique that can reveal high-resolution retinal vessels. In this work, we propose an accurate and efficie…
The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images
Le Gong, Shiying Li, Naqib Sad Pathan +4
Here we describe a new image representation technique based on the mathematics of transport and optimal transport. The method relies on the combination of the well-known Radon tran…
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction
Binbin Huang, Xingyue Peng, Siyuan Shen +8
We introduce Omni-LOS, a neural computational imaging method for conducting holistic shape reconstruction (HSR) of complex objects utilizing a Single-Photon Avalanche Diode (SPAD)-…
High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields
Wuwei Ren, Siyuan Shen, Linlin Li +7
Light scattering imposes a major obstacle for imaging objects seated deeply in turbid media, such as biological tissues and foggy air. Diffuse optical tomography (DOT) tackles scat…
Invariance encoding in sliced-Wasserstein space for image classification with limited training data
Mohammad Shifat E Rabbi, Yan Zhuang, Shiying Li +3
Deep convolutional neural networks (CNNs) are broadly considered to be state-of-the-art generic end-to-end image classification systems. However, they are known to underperform whe…
Onsite Non-Line-of-Sight Imaging via Online Calibrations
Zhengqing Pan, Ruiqian Li, Tian Gao +6
There has been an increasing interest in deploying non-line-of-sight (NLOS) imaging systems for recovering objects behind an obstacle. Existing solutions generally pre-calibrate th…
Non-line-of-Sight Imaging via Neural Transient Fields
Siyuan Shen, Zi Wang, Ping Liu +5
We present a neural modeling framework for Non-Line-of-Sight (NLOS) imaging. Previous solutions have sought to explicitly recover the 3D geometry (e.g., as point clouds) or voxel d…
Crossing Reduction of Sankey Diagram with Barycentre Ordering via Markov Chain
He Chen Li, Shi Ying Li, Bo Wen Tan +1
Sankey diagram is popular for analyzing primary flows in network data. However, the growing complexity of data and hence crossings in the diagram begin to reduce its readability. I…
Hair Segmentation on Time-of-Flight RGBD Images
Yuanxi Ma, Cen Wang, Shiying Li +1
Robust segmentation of hair from portrait images remains challenging: hair does not conform to a uniform shape, style or even color; dark hair in particular lacks features. We pres…