PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling

1 code implementation • 21 Feb 2022 • Xingye Chen, Yiqi Wu, Wenjie Xu, Jin Li, Huaiyi Dong, Yilin Chen

This paper proposes a point cloud feature extraction network named PointSCNet, to capture the geometrical structure information and local region correlation information of a point cloud.

3D Point Cloud Classification Semantic Segmentation

Signal Processing on the Permutahedron: Tight Spectral Frames for Ranked Data Analysis

no code implementations • 6 Mar 2021 • Yilin Chen, Jennifer DeJong, Tom Halverson, David I Shuman

Ranked data sets, where m judges/voters specify a preference ranking of n objects/candidates, are increasingly prevalent in contexts such as political elections, computer vision, recommender systems, and bioinformatics.

Recommendation Systems

Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem

no code implementations • 11 Oct 2020 • Qi Zhang, Yilin Chen, ZiYi Yang, Eric Darve

We propose a novel method "multi-constitutive neural network" (MCNN) such that one model can solve several different constitutive laws.

Predicting Geographic Information with Neural Cellular Automata

1 code implementation • 20 Sep 2020 • Mingxiang Chen, Qichang Chen, Lei Gao, Yilin Chen, Zhecheng Wang

This paper presents a novel framework using neural cellular automata (NCA) to regenerate and predict geographic information.

MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes

no code implementations • 2 Jul 2020 • Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang

Therefore, the proposed model can provide a good foundation for assisting the clinical doctors to diagnose the glomerular membranous nephropathy.

Classification General Classification +1