activity
20182022
most citedDual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2022

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…

cs.LG2021

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…

cs.MM20192 cited

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…

cs.CV2019

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,…

cs.MM2018

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…