Kong, C.Q.[Chen-Qi],
Chen, B.L.[Bao-Liang],
Yang, W.H.[Wen-Han],
Li, H.L.[Hao-Liang],
Chen, P.L.[Pei-Lin],
Wang, S.Q.[Shi-Qi],
Appearance Matters, So Does Audio: Revealing the Hidden Face via
Cross-Modality Transfer,
CirSysVideo(32), No. 1, January 2022, pp. 423-436.
IEEE DOI
2201
Faces, Videos, Information integrity, Face recognition, Training,
Generative adversarial networks, Testing, Deepfake, cross modality, fake face
BibRef
Cai, Z.X.[Zhi-Xi],
Ghosh, S.[Shreya],
Dhall, A.[Abhinav],
Gedeon, T.[Tom],
Stefanov, K.[Kalin],
Hayat, M.[Munawar],
Glitch in the matrix: A large scale benchmark for content driven
audio-visual forgery detection and localization,
CVIU(236), 2023, pp. 103818.
Elsevier DOI
2310
Datasets, Deepfake, Localization, Detection
BibRef
Chu, B.[Beilin],
You, W.[Weike],
Yang, Z.[Zhen],
Zhou, L.[Linna],
Wang, R.[Renying],
Protecting World Leader Using Facial Speaking Pattern Against
Deepfakes,
SPLetters(29), 2022, pp. 2078-2082.
IEEE DOI
2211
Lips, Deepfakes, Feature extraction, Faces, Gold, Transformers,
Detectors, Face manipulation detection,
speech pattern recognition
BibRef
He, Y.[Yi],
Yang, L.[Lei],
Wang, S.L.[Shi-Lin],
Liew, A.W.C.[Alan Wee-Chung],
Lip Feature Disentanglement for Visual Speaker Authentication in
Natural Scenes,
CirSysVideo(34), No. 10, October 2024, pp. 9898-9909.
IEEE DOI
2411
Feature extraction, Lips, Authentication, Deepfakes, Visualization,
Data mining, Shape, Lip biometrics, DeepFake spoofs
BibRef
Wang, R.[Rui],
Ye, D.[Dengpan],
Tang, L.[Long],
Zhang, Y.M.[Yun-Ming],
Deng, J.C.[Jia-Cheng],
AVT^2-DWF: Improving Deepfake Detection With Audio-Visual Fusion and
Dynamic Weighting Strategies,
SPLetters(31), 2024, pp. 1960-1964.
IEEE DOI
2408
Feature extraction, Transformers, Visualization, Training, Faces,
Deepfakes, Forgery, Audio-visual, deepfake detection, dynamic weight fusion
BibRef
Liu, M.[Miao],
Wang, J.[Jing],
Qian, X.Y.[Xin-Yuan],
Li, H.Z.[Hai-Zhou],
Audio-Visual Temporal Forgery Detection Using Embedding-Level Fusion
and Multi-Dimensional Contrastive Loss,
CirSysVideo(34), No. 8, August 2024, pp. 6937-6948.
IEEE DOI
2408
Deepfakes, Forgery, Location awareness, Visualization, Detectors,
Task analysis, Proposals, Audio-visual deepfake detection,
audio-visual inconsistency
BibRef
Yu, Y.[Yang],
Liu, X.L.[Xiao-Long],
Ni, R.R.[Rong-Rong],
Yang, S.Y.[Si-Yuan],
Zhao, Y.[Yao],
Kot, A.C.[Alex C.],
PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for
Multimodal Deepfake Detection,
CirSysVideo(34), No. 8, August 2024, pp. 6926-6936.
IEEE DOI
2408
Deepfakes, Visualization, Feature extraction, Forgery, Faces,
Collaboration, Task analysis, Multimodal deepfake detection,
self-supervised auxiliary
BibRef
Wang, Y.J.[Yu-Jia],
Huang, H.[Hua],
Audio-visual deepfake detection using articulatory representation
learning,
CVIU(248), 2024, pp. 104133.
Elsevier DOI
2409
Deepfake detection, Audio-visual, Articulatory representation
BibRef
Chen, Y.[Yu],
Yu, Y.[Yang],
Ni, R.R.[Rong-Rong],
Li, H.L.[Hao-Liang],
Wang, W.[Wei],
Zhao, Y.[Yao],
NPVForensics: Learning VA correlations in non-critical phoneme-viseme
regions for deepfake detection,
IVC(156), 2025, pp. 105461.
Elsevier DOI
2503
Multimodal deepfake detection, Non-critical phoneme-viseme,
VA correlation learning, Self-supervised learning
BibRef
Smeu, S.[Stefan],
Boldisor, D.A.[Dragos-Alexandru],
Oneata, D.[Dan],
Oneata, E.[Elisabeta],
Circumventing shortcuts in audio-visual deepfake detection datasets
with unsupervised learning,
CVPR25(18815-18825)
IEEE DOI
2508
Training, Deepfakes, Machine learning, Benchmark testing, Robustness,
Data models, Safety, Unsupervised learning, deepfake detection,
dataset bias
BibRef
Oorloff, T.[Trevine],
Koppisetti, S.[Surya],
Bonettini, N.[Nicolò],
Solanki, D.[Divyaraj],
Colman, B.[Ben],
Yacoob, Y.[Yaser],
Shahriyari, A.[Ali],
Bharaj, G.[Gaurav],
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection,
CVPR24(27092-27102)
IEEE DOI
2410
Training, Representation learning, Learning systems, Deepfakes,
Visualization, Accuracy, video deepfake detection, multimodal
BibRef
Wani, T.M.[Taiba Majid],
Gulzar, R.[Reeva],
Amerini, I.[Irene],
ABC-CapsNet: Attention based Cascaded Capsule Network for Audio
Deepfake Detection,
WiCV24(2464-2472)
IEEE DOI
2410
Deepfakes, Adaptation models, Attention mechanisms,
Computational modeling, Scalability, FoR
BibRef
Lu, Q.X.[Qian-Xi],
He, Y.[Yi],
Wang, S.L.[Shi-Lin],
Personatalk: Preserving Personalized Dynamic Speech Style In Talking
Face Generation,
ICIP24(2257-2263)
IEEE DOI
2411
Training, Measurement, Visualization, Deepfakes, Lips, Dynamics,
Authentication, Talking face generation, contrastive learning,
reading intelligibility
BibRef
Bohacek, M.[Matyas],
Farid, H.[Hany],
Lost in Translation: Lip-Sync Deepfake Detection from Audio-Video
Mismatch,
WMF24(4315-4323)
IEEE DOI
2410
Deepfakes, Voting, Mouth, Cloning, Robustness, deepfakes, media forensics
BibRef
Jia, S.[Shan],
Lyu, R.[Reilin],
Zhao, K.[Kangran],
Chen, Y.Z.[Yi-Ze],
Yan, Z.Y.[Zhi-Yuan],
Ju, Y.[Yan],
Hu, C.B.[Chuan-Bo],
Li, X.[Xin],
Wu, B.Y.[Bao-Yuan],
Lyu, S.W.[Si-Wei],
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large
Language Models for Media Forensics,
WMF24(4324-4333)
IEEE DOI
2410
Deepfakes, Machine learning algorithms, Forensics,
Large language models, Training data, Focusing, Deepfake Detection, GPT4V
BibRef
Raza, M.A.[Muhammad Anas],
Malik, K.M.[Khalid Mahmood],
Multimodaltrace: Deepfake Detection using Audiovisual Representation
Learning,
WMF23(993-1000)
IEEE DOI
2309
BibRef
Cozzolino, D.[Davide],
Pianese, A.[Alessandro],
Nießner, M.[Matthias],
Verdoliva, L.[Luisa],
Audio-Visual Person-of-Interest DeepFake Detection,
WMF23(943-952)
IEEE DOI
2309
BibRef
Zhou, Y.[Yipin],
Lim, S.N.[Ser-Nam],
Joint Audio-Visual Deepfake Detection,
ICCV21(14780-14789)
IEEE DOI
2203
Deep learning, Visualization, Computational modeling,
Synchronization, Speech synthesis, Task analysis,
Vision + other modalities
BibRef
Ren, Y.Z.[Yan-Zhen],
Liu, W.Y.[Wu-Yang],
Liu, D.K.[Deng-Kai],
Wang, L.[Lina],
Recalibrated Bandpass Filtering on Temporal Waveform for Audio Spoof
Detection,
ICIP21(3907-3911)
IEEE DOI
2201
Filtering, Convolution, Tools, Feature extraction, Cognition,
Speech synthesis, Audio spoof detection, Deepfake,
ASVspoof
BibRef
Agarwal, S.[Shruti],
Farid, H.[Hany],
Fried, O.,
Agrawala, M.,
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches,
WMF20(2814-2822)
IEEE DOI
2008
Videos, Lips, Face, Shape, Teeth, Robustness
BibRef
Agarwal, S.[Shruti],
Farid, H.[Hany],
Detecting Deep-Fake Videos from Aural and Oral Dynamics,
WMF21(981-989)
IEEE DOI
2109
Irrigation, Shape, Tracking, Face recognition, Forensics, Dynamics, Mouth
BibRef
Hosler, B.[Brian],
Salvi, D.[Davide],
Murray, A.[Anthony],
Antonacci, F.[Fabio],
Bestagini, P.[Paolo],
Tubaro, S.[Stefano],
Stamm, M.C.[Matthew C.],
Do Deepfakes Feel Emotions? A Semantic Approach to Detecting
Deepfakes Via Emotional Inconsistencies,
WMF21(1013-1022)
IEEE DOI
2109
Emotion recognition, Law, Semantics,
Speech recognition, Media, Forgery
BibRef
Gu, Y.W.[Ye-Wei],
Zhao, X.F.[Xian-Feng],
Gong, C.[Chen],
Yi, X.W.[Xiao-Wei],
Deepfake Video Detection Using Audio-visual Consistency,
IWDW20(168-180).
Springer DOI
2103
BibRef
Jeon, H.,
Bang, Y.,
Woo, S.S.,
FakeTalkerDetect: Effective and Practical Realistic Neural Talking
Head Detection with a Highly Unbalanced Dataset,
HBU19(1285-1287)
IEEE DOI
2004
face recognition, learning (artificial intelligence),
neural nets, video signal processing, FakeTalkerDetect,
few shot learning
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Fake News, Generation, Detection .