17 citations · 156 across the 40 of their papers we have counts for
42 papers
Green Steganalyzer: A Green Learning Approach to Image Steganalysis
Yao Zhu, Xinyu Wang, Hong-Shuo Chen +2
A novel learning solution to image steganalysis based on the green learning paradigm, called Green Steganalyzer (GS), is proposed in this work. GS consists of three modules: 1) pix…
Knowledge Graph Embedding with 3D Compound Geometric Transformations
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model, Compound…
Lightweight High-Performance Blind Image Quality Assessment
Zhanxuan Mei, Yun-Cheng Wang, Xingze He +2
Blind image quality assessment (BIQA) is a task that predicts the perceptual quality of an image without its reference. Research on BIQA attracts growing attention due to the incre…
A Tiny Machine Learning Model for Point Cloud Object Classification
Min Zhang, Jintang Xue, Pranav Kadam +3
The design of a tiny machine learning model, which can be deployed in mobile and edge devices, for point cloud object classification is investigated in this work. To achieve this o…
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds
Pranav Kadam, Jiahao Gu, Shan Liu +1
An efficient 3D scene flow estimation method called PointFlowHop is proposed in this work. PointFlowHop takes two consecutive point clouds and determines the 3D flow vectors for ev…
LSR: A Light-Weight Super-Resolution Method
Wei Wang, Xuejing Lei, Yueru Chen +2
A light-weight super-resolution (LSR) method from a single image targeting mobile applications is proposed in this work. LSR predicts the residual image between the interpolated lo…