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Image Forensics

Papers

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Showing 51–75 of 108 papers

TitleStatusHype
Pixel-Inconsistency Modeling for Image Manipulation Localization—0
PRNU Based Source Camera Identification for Webcam Videos—0
PRNU Based Source Camera Identification for Webcam and Smartphone Videos—0
Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency—0
Seamless Copy Move Manipulation in Digital Images—0
Security Consideration For Deep Learning-Based Image Forensics—0
SpliceRadar: A Learned Method For Blind Image Forensics—0
Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization—0
StegoAppDB: a Steganography Apps Forensics Image Database—0
Swapped Face Detection using Deep Learning and Subjective Assessment—0
Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces—0
Swin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis—0
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics—0
Totems: Physical Objects for Verifying Visual Integrity—0
Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset—0
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization—0
Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network—0
DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code—0
EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata—0
Face Phylogeny Tree Using Basis Functions—0
FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics—0
Feature base fusion for splicing forgery detection based on neuro fuzzy—0
Focus Manipulation Detection via Photometric Histogram Analysis—0
Forensic Discrimination between Traditional and Compressive Imaging Systems—0
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis—0
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