17 citations · 156 across the 40 of their papers we have counts for
14 papers · 1 filter
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method
Pranav Kadam, Min Zhang, Jiahao Gu +2
Visual odometry aims to track the incremental motion of an object using the information captured by visual sensors. In this work, we study the point cloud odometry problem, where o…
Geo-DefakeHop: High-Performance Geographic Fake Image Detection
Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu +2
A robust fake satellite image detection method, called Geo-DefakeHop, is proposed in this work. Geo-DefakeHop is developed based on the parallel subspace learning (PSL) methodology…
Unsupervised Data-Driven Nuclei Segmentation For Histology Images
Vasileios Magoulianitis, Peida Han, Yijing Yang +1
An unsupervised data-driven nuclei segmentation method for histology images, called CBM, is proposed in this work. CBM consists of three modules applied in a block-wise manner: 1)…
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
Min Zhang, Pranav Kadam, Shan Liu +1
An efficient solution to semantic segmentation of large-scale indoor scene point clouds is proposed in this work. It is named GSIP (Green Segmentation of Indoor Point clouds) and i…
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation
Xuejing Lei, Ganning Zhao, Kaitai Zhang +1
An explainable, efficient and lightweight method for texture generation, called TGHop (an acronym of Texture Generation PixelHop), is proposed in this work. Although synthesis of v…
E-PixelHop: An Enhanced PixelHop Method for Object Classification
Yijing Yang, Vasileios Magoulianitis, C. -C. Jay Kuo
Based on PixelHop and PixelHop++, which are recently developed using the successive subspace learning (SSL) framework, we propose an enhanced solution for object classification, ca…