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Detecting Deepfake Videos using Spatiotemporal Trident Network

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What this work says

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

inferredcites →https://doi.org/10.1002/int.22499openalex-snapshot

A lightweight 3D convolutional neural network for deepfake detection

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot

CBAM: Convolutional Block Attention Module

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/10.1007/978-3-540-74936-3_22openalex-snapshot

A Duality Based Approach for Realtime TV-L 1 Optical Flow

inferredcites →https://doi.org/10.1007/s10044-022-01083-2openalex-snapshot

Visual attention-based deepfake video forgery detection

inferredcites →https://doi.org/10.1007/s11263-022-01606-8openalex-snapshot

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

inferredcites →https://doi.org/10.1007/s12559-022-10008-4openalex-snapshot

IR-Capsule: Two-Stream Network for Face Forgery Detection

inferredcites →https://doi.org/10.1007/s41095-021-0217-9openalex-snapshot

Multi-scale joint feature network for micro-expression recognition

inferredcites →https://doi.org/10.1016/j.amc.2021.126012openalex-snapshot

A weighted network community detection algorithm based on deep learning

inferredcites →https://doi.org/10.1109/avss44038.2019openalex-snapshot

2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

inferredcites →https://doi.org/10.1109/btas46853.2019.9185974openalex-snapshot

Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

inferredcites →https://doi.org/10.1109/cvpr.2018.00116openalex-snapshot

Learning Rich Features for Image Manipulation Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00675openalex-snapshot

A Closer Look at Spatiotemporal Convolutions for Action Recognition

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/cvpr42600.2020.00327openalex-snapshot

Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00525openalex-snapshot

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00813openalex-snapshot

Analyzing and Improving the Image Quality of StyleGAN

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00222openalex-snapshot

Multi-attentional Deepfake Detection

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01585openalex-snapshot

High-Fidelity and Arbitrary Face Editing

inferredcites →https://doi.org/10.1109/cvpr52688.2022.00261openalex-snapshot

Rethinking Semantic Segmentation: A Prototype View

inferredcites →https://doi.org/10.1109/cvprw.2017.229openalex-snapshot

Two-Stream Neural Networks for Tampered Face Detection

inferredcites →https://doi.org/10.1109/icassp.2019.8682602openalex-snapshot

Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos

inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot

Learning Spatiotemporal Features with 3D Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-snapshot

FaceForensics++: Learning to Detect Manipulated Facial Images

inferredcites →https://doi.org/10.1109/iccv48922.2021.01477openalex-snapshot

Exploring Temporal Coherence for More General Video Face Forgery Detection

inferredcites →https://doi.org/10.1109/iccvw.2017.373openalex-snapshot

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

inferredcites →https://doi.org/10.1109/icip.2016.7532770openalex-snapshot

Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks

inferredcites →https://doi.org/10.1109/icip40778.2020openalex-snapshot

2020 IEEE International Conference on Image Processing (ICIP)

inferredcites →https://doi.org/10.1109/icpr48806.2021.9412711openalex-snapshot

Video Face Manipulation Detection Through Ensemble of CNNs

inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-snapshot

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

inferredcites →https://doi.org/10.1109/taffc.2015.2485205openalex-snapshot

A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition

inferredcites →https://doi.org/10.1109/taffc.2016.2518162openalex-snapshot

Microexpression Identification and Categorization Using a Facial Dynamics Map

inferredcites →https://doi.org/10.1109/tbiom.2021.3065735openalex-snapshot

Fighting Fake News: Two Stream Network for Deepfake Detection via Learnable SRM

inferredcites →https://doi.org/10.1109/tcss.2019.2959826openalex-snapshot

A Topic Representation Model for Online Social Networks Based on Hybrid Human–Artificial Intelligence

inferredcites →https://doi.org/10.1109/tcsvt.2021.3074259openalex-snapshot

Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network

inferredcites →https://doi.org/10.1109/tcsvt.2021.3133859openalex-snapshot

MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention

inferredcites →https://doi.org/10.1109/tifs.2012.2190402openalex-snapshot

Rich Models for Steganalysis of Digital Images

inferredcites →https://doi.org/10.1109/tip.2008.925381openalex-snapshot

Occlusion-Aware Optical Flow Estimation

inferredcites →https://doi.org/10.1109/tip.2018.2797479openalex-snapshot

Domain Regeneration for Cross-Database Micro-Expression Recognition

inferredcites →https://doi.org/10.1109/tpami.2022.3225573openalex-snapshot

A Survey on Deep Learning Technique for Video Segmentation

inferredcites →https://doi.org/10.1109/wifs45029.2018openalex-snapshot

2018 IEEE International Workshop on Information Forensics and Security (WIFS)

inferredcites →https://doi.org/10.1145/2929464.2929475openalex-snapshot

Demo of Face2Face

inferredcites →https://doi.org/10.1145/3306346.3323035openalex-snapshot

Deferred neural rendering

inferredcites →https://doi.org/10.1145/3432817openalex-snapshot

SPGAN: Face Forgery Using Spoofing Generative Adversarial Networks

inferredcites →https://doi.org/10.1145/3499026openalex-snapshot

Detection of AI-Manipulated Fake Faces via Mining Generalized Features

inferredcites →https://doi.org/10.1145/3536426openalex-snapshot

Deepfake Video Detection via Predictive Representation Learning

inferredcites →https://doi.org/10.1145/3558004openalex-snapshot

TCSD: Triple Complementary Streams Detector for Comprehensive Deepfake Detection

inferredcites →https://doi.org/10.1155/2020/9242917openalex-snapshot

Face Detection and Segmentation Based on Improved Mask R-CNN

inferredcites →https://doi.org/10.3390/s19245553openalex-snapshot

A Convolutional Neural Network for Compound Micro-Expression Recognition

inferredcites →https://doi.org/10.48550/arxiv.1907.05047openalex-snapshot

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

inferredcites →https://doi.org/10.48550/arxiv.2006.14749openalex-snapshot

Deepfake Detection using Spatiotemporal Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.2010.11844openalex-snapshot

Spatio-temporal Features for Generalized Detection of Deepfake Videos

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s12559-025-10473-7openalex-snapshot

Dual-Branch Pre-activation Bottleneck Transformer for Face Forgery Detection

inferred← citeshttps://doi.org/10.1007/s42452-025-08014-wopenalex-snapshot

Deepfake detection via spatial–temporal deep networks: leveraging CNNs and LSTMs for enhanced accuracy

inferred← citeshttps://doi.org/10.1016/j.dim.2025.100099openalex-snapshot

DeepFake video detection: Insights into model generalisation — A Systematic review

inferred← citeshttps://doi.org/10.1109/access.2024.3523288openalex-snapshot

Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects

inferred← citeshttps://doi.org/10.1109/cises66934.2025.11265509openalex-snapshot

A Survey on Deepfake Detection Techniques for Watermarking and Digital Forensics Using Deep Learning

inferred← citeshttps://doi.org/10.1109/ietacs68750.2025.11385353openalex-snapshot

DeepFake Analysis : A Review of Recent Studies, Detection Methods and Trends in Deepfake Detection

inferred← citeshttps://doi.org/10.1109/tcss.2023.3344597openalex-snapshot

Effect of Text Augmentation and Adversarial Training on Fake News Detection

inferred← citeshttps://doi.org/10.1109/tdsc.2024.3523289openalex-snapshot

ADA-FInfer: Inferring Face Representations From Adaptive Select Frames for High-Visual-Quality Deepfake Detection

inferred← citeshttps://doi.org/10.1109/tmm.2025.3613159openalex-snapshot

Critical Contour Prior-Guided Graph Learning With Pose Calibration for Identity-Aware Deepfake Detection

inferred← citeshttps://doi.org/10.1145/3678473openalex-snapshot

Introduction to Special Issue on “Recent Trends in Multimedia Forensics”

inferred← citeshttps://doi.org/10.1145/3708352openalex-snapshot

Siamese Network-Based Detection of Deepfake Impersonation Attacks with a Person of Interest Approach

inferred← citeshttps://doi.org/10.1145/3716827openalex-snapshot

GANK: Dynamic Geometric and Appearance Features for Efficient and Robust Detection of Face Forgery

inferred← citeshttps://doi.org/10.1145/3747296openalex-snapshot

Multi-spectral Class Center Network for Face Manipulation Localization

inferred← citeshttps://doi.org/10.1145/3777412openalex-snapshot

Deepfake Video Detection Based on Improved EfficientNetV2S and Transformer Network

inferred← citeshttps://doi.org/10.1145/3777474openalex-snapshot

Towards Generalizable Deepfake Detection by Primary Region Regularization

inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115707openalex-snapshot

Deepfake Detection: Demodulate Synthetic Videos Using Deep Learning Models

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