6 papers
Computation for Epidemic Prediction with Graph Neural Network by Model Combination
Xiangxin Kong, Hang Wang, Yutong Li +2
Modelling epidemic events such as COVID-19 cases in both time and space dimensions is an important but challenging task. Building on in-depth review and assessment of two popular g…
SDE-DET: A Precision Network for Shatian Pomelo Detection in Complex Orchard Environments
Yihao Hu, Pan Wang, Xiaodong Bai +8
Pomelo detection is an essential process for their localization, automated robotic harvesting, and maturity analysis. However, detecting Shatian pomelo in complex orchard environme…
GeoMM: On Geodesic Perspective for Multi-modal Learning
Shibin Mei, Hang Wang, Bingbing Ni
Geodesic distance serves as a reliable means of measuring distance in nonlinear spaces, and such nonlinear manifolds are prevalent in the current multimodal learning. In these scen…
Manifold-valued function approximation from multiple tangent spaces
Hang Wang, Raf Vandebril, Joeri Van der Veken +1
Approximating a manifold-valued function from samples of input-output pairs consists of modeling the relationship between an input from a vector space and an output on a Riemannian…
Research on Cervical Cancer p16/Ki-67 Immunohistochemical Dual-Staining Image Recognition Algorithm Based on YOLO
Xiao-Jun Wu, Cai-Jun Zhao, Chun Meng +1
The p16/Ki-67 dual staining method is a new approach for cervical cancer screening with high sensitivity and specificity. However, there are issues of mis-detection and inaccurate…
MSSIDD: A Benchmark for Multi-Sensor Denoising
Shibin Mei, Hang Wang, Bingbing Ni
The cameras equipped on mobile terminals employ different sensors in different photograph modes, and the transferability of raw domain denoising models between these sensors is sig…