Search Results for author:
Found 12 papers, 7 papers with code
UVL: A Unified Framework for Video Tampering Localization
These features are widely present in different types of synthetic forgeries and help improve generalization for detecting unknown videos.
ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
Automatically generating textual content with desired attributes is an ambitious task that people have pursued long.
Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos
In addition, we designed a tool called Localizator to compare the difference between the original traced video and the fake video.
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection
As increasing development of text-to-speech (TTS) and voice conversion (VC) technologies, the detection of synthetic speech has been suffered dramatically.
MediumVC: Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium features
To realize any-to-any (A2A) voice conversion (VC), most methods are to perform symmetric self-supervised reconstruction tasks (Xi to Xi), which usually results in inefficient performances due to inadequate feature decoupling, especially for unseen speakers.
Detection of Deepfake Videos Using Long Distance Attention
And a spatial-temporal model is proposed which has two components for capturing spatial and temporal forgery traces in global perspective respectively.
A Siamese CNN for Image Steganalysis
On the assumption that natural image noise is similar between different image sub-regions, we propose an end-to-end, deep learning, novel solution for distinguishing steganography images from normal images that provides satisfying performance.
IStego100K: Large-scale Image Steganalysis Dataset
We hope that this test set can help to evaluate the robustness of steganalysis algorithms.
Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution
Constrained image splicing detection and localization (CISDL) is a newly proposed challenging task for image forensics, which investigates two input suspected images and identifies whether one image has suspected regions pasted from the other.
Digital image splicing detection based on Markov features in QDCT and QWT domain
In this paper, a color image splicing detection approach is proposed based on Markov transition probability of quaternion component separation in quaternion discrete cosine transform (QDCT) domain and quaternion wavelet transform (QWT) domain.
Copy-move Forgery Detection based on Convolutional Kernel Network
Numerous experiments are conducted to demonstrate the effectiveness and robustness of the GPU version of Convolutional Kernel Network, and the state-of-the-art performance of the proposed copy-move forgery detection method based on Convolutional Kernel Network.
Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks
In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.
