8 citations · 15 across the 9 of their papers we have counts for
9 papers
Effective Synthetic Image Detection via Noise Residual Clustering
Caihui Yan, Gang Cao, Huawei Tian +2
The rapid advancement of generative artificial intelligence (AI) has made synthetic images remarkably realistic, posing security threats such as misinformation and fraud. It is sig…
Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation
Zijie Lou, Gang Cao, Man Lin
Visually realistic GAN-generated facial images raise obvious concerns on potential misuse. Many effective forensic algorithms have been developed to detect such synthetic images in…
Effective Image Tampering Localization with Multi-Scale ConvNeXt Feature Fusion
Haochen Zhu, Gang Cao, Mo Zhao
With the widespread use of powerful image editing tools, image tampering becomes easy and realistic. Existing image forensic methods still face challenges of low generalization per…
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
Xiaolong Wei, LiFang Yang, Xianglin Huang +4
At present, attention mechanism has been widely applied to the fields of deep learning models. Structural models that based on attention mechanism can not only record the relations…
Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics
Pengpeng Yang, Rongrong Ni, Yao Zhao +2
Contrast enhancement (CE) forensics techniques have always been of great interest for image forensics community, as they can be an effective tool for recovering image history and i…
Resampling detection of recompressed images via dual-stream convolutional neural network
Gang Cao, Antao Zhou, Xianglin Huang +3
Resampling detection plays an important role in identifying image tampering, such as image splicing. Currently, the resampling detection is still difficult in recompressed images,…
Robust Contrast Enhancement Forensics Using Pixel and Histogram Domain CNNs
Pengpeng Yang, Rongrong Ni, Yao Zhao +2
Contrast enhancement (CE) forensics has always been ofconcern to image forensics community. It can provide aneffective tool for recovering image history and identifyingtampered ima…
Acceleration of Histogram-Based Contrast Enhancement via Selective Downsampling
Gang Cao, Huawei Tian, Lifang Yu +2
In this paper, we propose a general framework to accelerate the universal histogram-based image contrast enhancement (CE) algorithms. Both spatial and gray-level selective down-sam…
Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive Gamma Correction
Gang Cao, Lihui Huang, Huawei Tian +3
As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC) was previously proposed by relating gamma parameter with cumulative distribution function (CDF…