activity
20172023
most citedFake Colorized Image Detection

77 citations · 207 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2023★ 2 cited

RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images

Hui Miao, Yuanfang Guo, Yunhong Wang

With the rapid development of the image generation technologies, the malicious abuses of the GAN-generated fingerprint images poses a significant threat to the public safety in cer…

cs.LG2023

Common Knowledge Learning for Generating Transferable Adversarial Examples

Ruijie Yang, Yuanfang Guo, Junfu Wang +2

This paper focuses on an important type of black-box attacks, i.e., transfer-based adversarial attacks, where the adversary generates adversarial examples by a substitute (source)…

cs.LG2023

Heterophily-Aware Graph Attention Network

Junfu Wang, Yuanfang Guo, Liang Yang +1

Graph Neural Networks (GNNs) have shown remarkable success in graph representation learning. Unfortunately, current weight assignment schemes in standard GNNs, such as the calculat…

cs.LG2022

Binary Graph Convolutional Network with Capacity Exploration

Junfu Wang, Yuanfang Guo, Liang Yang +1

The current success of Graph Neural Networks (GNNs) usually relies on loading the entire attributed graph for processing, which may not be satisfied with limited memory resources,…

cs.LG2022★ 22 cited

Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding

Junfu Wang, Yuanfang Guo, Liang Yang +1

Graph Neural Networks (GNNs) have been generalized to process the heterogeneous graphs by various approaches. Unfortunately, these approaches usually model the heterogeneity via va…

cs.LG2020★ 57 cited

Bi-GCN: Binary Graph Convolutional Network

Junfu Wang, Yunhong Wang, Zhen Yang +2

Graph Neural Networks (GNNs) have achieved tremendous success in graph representation learning. Unfortunately, current GNNs usually rely on loading the entire attributed graph into…

cs.CV2020★ 19 cited

Fake Generated Painting Detection via Frequency Analysis

Yong Bai, Yuanfang Guo, Jinjie Wei +3

With the development of deep neural networks, digital fake paintings can be generated by various style transfer algorithms.To detect the fake generated paintings, we analyze the fa…

cs.CV2019★ 1 cited

Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism

Mingda Wu, Di Huang, Yuanfang Guo +1

Recently, Human Attribute Recognition (HAR) has become a hot topic due to its scientific challenges and application potentials, where localizing attributes is a crucial stage but n…

cs.MM2018★ 77 cited

Fake Colorized Image Detection

Yuanfang Guo, Xiaochun Cao, Wei Zhang +1

Image forensics aims to detect the manipulation of digital images. Currently, splicing detection, copy-move detection and image retouching detection are drawing much attentions fro…

cs.MM2017★ 29 cited

Halftone Image Watermarking by Content Aware Double-sided Embedding Error Diffusion

Yuanfang Guo, Oscar C. Au, Rui Wang +2

In this paper, we carry out a performance analysis from a probabilistic perspective to introduce the EDHVW methods' expected performances and limitations. Then, we propose a new ge…