77 citations · 206 across the 29 of their papers we have counts for
11 papers · 1 filter
Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues
Decheng Liu, Zeyang Zheng, Chunlei Peng +3
Face forgery detection plays an important role in personal privacy and social security. With the development of adversarial generative models, high-quality forgery images become mo…
All-to-key Attention for Arbitrary Style Transfer
Mingrui Zhu, Xiao He, Nannan Wang +2
Attention-based arbitrary style transfer studies have shown promising performance in synthesizing vivid local style details. They typically use the all-to-all attention mechanism -…
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification
De Cheng, Haichun Tai, Nannan Wang +2
Unsupervised person re-identification (ReID) aims at learning discriminative identity features for person retrieval without any annotations. Recent advances accomplish this task by…
Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images
Yan Zhang, Xiyuan Gao, Qingyan Duan +3
Very high-resolution (VHR) remote sensing (RS) image classification is the fundamental task for RS image analysis and understanding. Recently, transformer-based models demonstrated…
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network
Yu Zheng, Zhangxuan Dang, Chunlei Peng +2
Network traffic classification is the basis of many network security applications and has attracted enough attention in the field of cyberspace security. Existing network traffic c…
FedForgery: Generalized Face Forgery Detection with Residual Federated Learning
Decheng Liu, Zhan Dang, Chunlei Peng +4
With the continuous development of deep learning in the field of image generation models, a large number of vivid forged faces have been generated and spread on the Internet. These…
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing
Pinjun Luo, Guoqiang Xiao, Xinbo Gao +1
The deep convolutional neural networks (CNNs)-based single image dehazing methods have achieved significant success. The previous methods are devoted to improving the network's per…
Hiding Visual Information via Obfuscating Adversarial Perturbations
Zhigang Su, Dawei Zhou, Nannan Wangu +3
Growing leakage and misuse of visual information raise security and privacy concerns, which promotes the development of information protection. Existing adversarial perturbations-b…
Improving Adversarial Robustness via Mutual Information Estimation
Dawei Zhou, Nannan Wang, Xinbo Gao +4
Deep neural networks (DNNs) are found to be vulnerable to adversarial noise. They are typically misled by adversarial samples to make wrong predictions. To alleviate this negative…
TransFA: Transformer-based Representation for Face Attribute Evaluation
Decheng Liu, Weijie He, Chunlei Peng +3
Face attribute evaluation plays an important role in video surveillance and face analysis. Although methods based on convolution neural networks have made great progress, they inev…
Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario
Yukai Wang, Chunlei Peng, Decheng Liu +2
In recent years, with the rapid development of face editing and generation, more and more fake videos are circulating on social media, which has caused extreme public concerns. Exi…