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LIDeepDet: Deepfake Detection via Image Decomposition and Advanced Lighting Information Analysis

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58571-6_39openalex-snapshot
Two-Branch Recurrent Network for Isolating Deepfakes in Videos
inferredcites →https://doi.org/10.1007/978-3-030-58610-2_6openalex-snapshot
Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_23openalex-snapshot
Deep Specialized Network for Illuminant Estimation
inferredcites →https://doi.org/10.1007/s10489-022-03766-zopenalex-snapshot
Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward
inferredcites →https://doi.org/10.1016/j.patcog.2023.110077openalex-snapshot
Deepfake detection via inter-frame inconsistency recomposition and enhancement
inferredcites →https://doi.org/10.1109/cvpr.2015.7298838openalex-snapshot
Efficient illuminant estimation for color constancy using grey pixels
inferredcites →https://doi.org/10.1109/cvpr.2016.304openalex-snapshot
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2017.255openalex-snapshot
Deep outdoor illumination estimation
inferredcites →https://doi.org/10.1109/cvpr.2017.43openalex-snapshot
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling
inferredcites →https://doi.org/10.1109/cvpr.2018.00698openalex-snapshot
CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00701openalex-snapshot
Underexposed Photo Enhancement Using Deep Illumination Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00185openalex-snapshot
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00296openalex-snapshot
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00327openalex-snapshot
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00505openalex-snapshot
Face X-Ray for More General Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00083openalex-snapshot
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00222openalex-snapshot
Multi-attentional Deepfake Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00361openalex-snapshot
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00402openalex-snapshot
AltFreezing for More General Video Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00703openalex-snapshot
Dynamic Graph Learning with Content-guided Spatial-Frequency Relation Reasoning for Deepfake Detection
inferredcites →https://doi.org/10.1109/cvprw.2017.229openalex-snapshot
Two-Stream Neural Networks for Tampered Face Detection
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00015openalex-snapshot
Detecting Real-Time Deep-Fake Videos Using Active Illumination
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-snapshot
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccv48922.2021.01475openalex-snapshot
Learning Self-Consistency for Deepfake Detection
inferredcites →https://doi.org/10.1109/iccv51070.2023.01188openalex-snapshot
Physically-plausible illumination distribution estimation
inferredcites →https://doi.org/10.1109/ijcb48548.2020.9304909openalex-snapshot
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
inferredcites →https://doi.org/10.1109/lsp.2024.3433546openalex-snapshot
Boosting Deepfake Feature Extractors Using Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/tcsvt.2023.3238517openalex-snapshot
Exploiting Complementary Dynamic Incoherence for DeepFake Video Detection
inferredcites →https://doi.org/10.1109/tcsvt.2023.3269841openalex-snapshot
Interactive Two-Stream Network Across Modalities for Deepfake Detection
inferredcites →https://doi.org/10.1109/tifs.2019.2935913openalex-snapshot
Gradient-Based Illumination Description for Image Forgery Detection
inferredcites →https://doi.org/10.1109/tifs.2023.3249566openalex-snapshot
Masked Relation Learning for DeepFake Detection
inferredcites →https://doi.org/10.1109/tifs.2023.3324724openalex-snapshot
Domain Generalization via Aggregation and Separation for Audio Deepfake Detection
inferredcites →https://doi.org/10.1109/tip.2016.2639450openalex-snapshot
LIME: Low-Light Image Enhancement via Illumination Map Estimation
inferredcites →https://doi.org/10.1109/tmm.2021.3121140openalex-snapshot
Asymmetric Modality Translation for Face Presentation Attack Detection
inferredcites →https://doi.org/10.1109/tmm.2023.3268867openalex-snapshot
Low-Light Enhancement Method Based on a Retinex Model for Structure Preservation
inferredcites →https://doi.org/10.1109/tpami.2019.2930192openalex-snapshot
Pattern of Local Gravitational Force (PLGF): A Novel Local Image Descriptor
inferredcites →https://doi.org/10.1109/wacvw.2019.00020openalex-snapshot
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1609/aaai.v35i2.16193openalex-snapshot
Local Relation Learning for Face Forgery Detection
inferredcites →https://doi.org/10.3390/electronics13091749openalex-snapshot
Refining Localized Attention Features with Multi-Scale Relationships for Enhanced Deepfake Detection in Spatial-Frequency Domain
inferredcites →https://doi.org/10.3390/electronics13112132openalex-snapshot
Video Detection Method Based on Temporal and Spatial Foundations for Accurate Verification of Authenticity
inferredcites →https://doi.org/10.3390/electronics13122398openalex-snapshot
An Approach to Deepfake Video Detection Based on ACO-PSO Features and Deep Learning
inferredcites →https://doi.org/10.3390/electronics13153045openalex-snapshot
Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector
inferredcites →https://doi.org/10.3390/electronics13173433openalex-snapshot
Temporal Feature Prediction in Audio–Visual Deepfake Detection
inferredcites →https://doi.org/10.48550/arxiv.1905.11946openalex-snapshot
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-19678-1_42openalex-snapshot
Feature-Based Deepfake Detection Using LBP and HOG with Machine Learning Approaches
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130788openalex-snapshot
MSHRT-Net: Multi-scale hierarchical residual transfer network for image manipulation detection and localization
inferred← citeshttps://doi.org/10.1109/access.2025.3611839openalex-snapshot
Deepfake Audio Detection: A Comparative Study of Advanced Deep Learning Models
inferred← citeshttps://doi.org/10.1109/ic3it66137.2025.11341241openalex-snapshot
Transforming Digital Trust With Multimodal Deepfake Detection: Techniques, Challenges, and Advances Across Audio Visual Content Worldwide
inferred← citeshttps://doi.org/10.1109/icici68867.2026.11564880openalex-snapshot
Multi-Headed Attention-based Parallel Convolution Neural Network for Deepfake Image Detection
inferred← citeshttps://doi.org/10.1109/icscss69635.2026.11645824openalex-snapshot
Deep Learning based DeepFake Image Detection for Enhancing Social Media Security
inferred← citeshttps://doi.org/10.1109/tce.2025.3624764openalex-snapshot
Leveraging Spatial-Temporal Illumination Features and Convolution-Transformer Hybrid Networks for Deepfake Video Detection
inferred← citeshttps://doi.org/10.1109/wacvw68408.2026.00103openalex-snapshot
The Safe Image Authenticity Challenge: Detecting and Localizing Partial and Fully Synthetic Manipulations
inferred← citeshttps://doi.org/10.1111/exsy.70218openalex-snapshot
Spatial‐Frequency Feature Fusion Based Deepfake Detection With Mask Supervision
inferred← citeshttps://doi.org/10.1117/12.3067698openalex-snapshot
CMFD-CC: image copy-move forgery detection via context clustering
inferred← citeshttps://doi.org/10.15581/003.39.2.011openalex-snapshot
Tools to Combat Artificial Intelligence-Generated Disinformation in the Digital Ecosystem: Future Challenges and Solutions
inferred← citeshttps://doi.org/10.3390/computers14110488openalex-snapshot
A Multifaceted Deepfake Prevention Framework Integrating Blockchain, Post-Quantum Cryptography, Hybrid Watermarking, Human Oversight, and Policy Governance
inferred← citeshttps://doi.org/10.3390/cryptography10020015openalex-snapshot
Performance Evaluation of NIST-Standardized Post-Quantum and Symmetric Ciphers for Mitigating Deepfakes
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