The DOI matches its Crossref record; 29 of the 30 references it cites were found in a registry or an index.
Out of Time: Automated Lip Sync in the Wild
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“contrastive loss has been shown [66], [28] to be a powerful objective for similar tasks.”
From Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization (2022) · cites this paper as [66]
Citations
Cites
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148
Self-citationImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftPreprint
Ioffe, S. (2024) · arXiv (Cornell University) · doi:10.57702/o9raffed · Cited by 15,273
(1981) · Cited by 11,963
Caffe: Convolutional Architecture for Fast Feature Embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014) · Proceedings of the 22nd ACM international conference on Multimedia · doi:10.1145/2647868.2654889 · Cited by 11,077
Two-Stream Convolutional Networks for Action Recognition in Videos
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1406.2199 · Cited by 6,756
Self-citationDavis, S., & Mermelstein, P. (1980) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1980.1163420 · Cited by 5,465
Learning a Similarity Metric Discriminatively, with Application to Face Verification
Chopra, S., Hadsell, R., & LeCun, Y. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.202 · Cited by 4,036
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Chatfield, K., Simonyan, K., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014 · doi:10.5244/c.28.6 · Cited by 3,335
Self-citation
Research works printed but not linked: 1
- Geras, K.J., Mohamed, A.R., Caruana, R., Urban, G., Wang, S., Aslan, O., Philipose, M., Richardson, M., Sutton, C.: Compressing LSTMS into CNNS. arXiv preprint arXiv:1511.06433 (2015) · arXiv
Cited by
Sorted by citations
Items 301–400 of 691
Lip-Reading with Limited-Data Network
Fernandez-Lopez, A., & Sukno, F. M. (2019) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco.2019.8902572 · Cited by 10
End to End Lip Synchronization with a Temporal AutoEncoder
Shalev, Y., & Wolf, L. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093490 · Cited by 10
Automatic audiovisual synchronisation for ultrasound tongue imaging
Eshky, A., Cleland, J., Ribeiro, M. S., Sugden, E., Richmond, K., & Renals, S. J. (2021) · Speech Communication · doi:10.1016/j.specom.2021.05.008 · Cited by 10
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion
Pouthier, B., Pilati, L., Gudupudi, L. K., Bouveyron, C., & Precioso, F. (2021) · Interspeech (USB) · doi:10.21437/interspeech.2021-80 · Cited by 10
Group-Level Focus of Visual Attention for Improved Next Speaker Prediction
Birmingham, C., Stefanov, K., & Matarić, M. J. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3479213 · Cited by 10
A Comparative Study of Perceptual Quality Metrics For Audio-Driven Talking Head Videos
Zhang, W., Zhu, C., Gao, J., Yan, Y., Zhai, G., & Yang, X. (2024) · Proceedings - International Conference on Image Processing · doi:10.1109/icip51287.2024.10647543 · Cited by 9
PersonaTalk: Bring Attention to Your Persona in Visual Dubbing
Zhang, L., Liang, S., Ge, Z., & Hu, T. (2024) · SIGGRAPH Asia Conference Papers · doi:10.1145/3680528.3687618 · Cited by 9
VPT: Video portraits transformer for realistic talking face generation
Zhang, Z., Zhang, J., & Mai, W. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107122 · Cited by 9
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation
Wang, Y., Guo, J., Bai, J., Yu, R., He, T., Tan, X., Sun, X., & Bian, J. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v39i8.32877 · Cited by 25
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
Li, J., Zhang, J., Xiao, B., Zheng, J., Zhou, J. W., & Gu, L. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.00999 · Cited by 9
SingingHead: A Large-Scale 4D Dataset for Singing Head Animation
Wu, S., Li, Y., Zhang, W., Jia, J., Zhu, Y., Yan, Y., Zhai, G., & Yang, X. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3623560 · Cited by 10
Comparison of Deepfakes Detection Techniques
Salman, S., & Shamsi, J. A. (2023) · doi:10.1109/icai58407.2023.10136659 · Cited by 9
FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild
Liu, Z.-S., Courant, R., & Kalogeiton, V. S. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02000-2 · Cited by 13
Exploring Phonetic Context-Aware Lip-Sync for Talking Face Generation
Park, S. J., Kim, M., Choi, J., & Ro, Y. M. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10447284 · Cited by 9
Detecting Adversarial Attacks on Audiovisual Speech Recognition
Ma, P., Petridis, S., & Pantić, M. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9413661 · Cited by 17
A Closer Look at Audio-Visual Multi-Person Speech Recognition and Active Speaker Selection
Braga, O., & Siohan, O. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414160 · Cited by 9
Design and Evaluation of a Silent Speech-Based Selection Method for Eye-Gaze Pointing
Pandey, L., & Arif, A. S. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3567723 · Cited by 9
Automated Video Face Labelling for Films and TV Material
Parkhi, O., Rahtu, E., Cao, Q., & Zisserman, A. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2889831 · Cited by 9
Self-citationVisual Speech Enhancement using Noise-Invariant TrainingPreprint
Gabbay, A., Shamir, A., & Peleg, B. (2017) · arXiv (Cornell University) · Cited by 9
Ecarnet: enhanced clue-ambiguity reasoning network for multimodal fake news detection
Zhong, S., Peng, S., Liu, X., Zhu, L., Xu, X., & Li, T. (2024) · Multimedia Systems · doi:10.1007/s00530-023-01256-x · Cited by 8
DiffDub: Person-Generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-Encoder
Liu, T., Du, C., Fan, S., Chen, F., & Yu, K. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446049 · Cited by 9
Generating dynamic lip-syncing using target audio in a multimedia environment
Pawar, D., Borde, P. L., & Yannawar, P. L. (2024) · Natural Language Processing Journal · doi:10.1016/j.nlp.2024.100084 · Cited by 8
Multimodal attention for lip synthesis using conditional generative adversarial networks
Vidal, A., & Busso, C. (2023) · Speech Communication · doi:10.1016/j.specom.2023.102959 · Cited by 8
OSM-Net: One-to-Many One-Shot Talking Head Generation With Spontaneous Head Motions
Liu, J., Wang, X., Fu, X., Chai, Y., Cai, Y., Dai, J., & Han, J. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3394850 · Cited by 8
Expression-aware neural radiance fields for high-fidelity talking portrait synthesis
Wang, X., Ruan, T., Xu, J., Guo, X., Li, J., Yan, F., Zhao, G., & Wang, C. (2024) · Image and Vision Computing · doi:10.1016/j.imavis.2024.105075 · Cited by 8
WASD: A Wilder Active Speaker Detection Dataset
Roxo, T., Costa, J. C., Inácio, P. R. M., & Proença, H. P. M. C. (2024) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2024.3412821 · Cited by 8
DIM: Dyadic Interaction Modeling for Social Behavior Generation
Tran, M., Chang, D., Siniukov, M., & Soleymani, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72913-3_27 · Cited by 8
Mocanu, B., Țapu, R., & Zaharia, T. B. (2019) · E-Health and Bioengineering Conference (EHB) · doi:10.1109/ehb47216.2019.8970038 · Cited by 8
End-To-End Lip Synchronisation Based on Pattern Classification
Kim, Y. J., Heo, H. S., Chung, S.-W., & Lee, B. (2021) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt48900.2021.9383616 · Cited by 9
Magnusson, I., Sankaranarayanan, A., & Lippman, A. (2021) · doi:10.1145/3476099.3484317 · Cited by 8
Xiao, Y., Teng, L., Zhu, A., Liu, X., & Tian, P. (2022) · IEEE Access · doi:10.1109/access.2022.3204677 · Cited by 8
Multi-Modal Gaze Following in Conversational Scenarios
Hou, Y., Zhang, Z., Horányi, N., Moon, J., Cheng, Y., & Chang, H. J. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00122 · Cited by 9
Speech-Driven Facial Animation Using Polynomial Fusion of Features
Kefalas, T., Vougioukas, K., Panagakis, Y., Petridis, S., Kossaifi, J., & Pantić, M. (2020) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp40776.2020.9054469 · Cited by 9
Detection of Audio-Video Synchronization Errors Via Event Detection
Ebenezer, J. P., Wu, Y., Wei, H., Sethuraman, S., & Liu, Z. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414924 · Cited by 11
MAAS: Multi-modal Assignation for Active Speaker DetectionPreprint
Alcázar, J. L., Heilbron, F. C., Thabet, A., & Ghanem, B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.03682 · Cited by 8
Trusted Media Challenge Dataset and User Study
Chen, W., Chua, S. L. B., Winkler, S., & Ng, S.-K. (2022) · Proceedings of the 31st ACM International Conference on Information & Knowledge Management · doi:10.1145/3511808.3557715 · Cited by 7
Multimodal Fusion for Talking Face Generation Utilizing Speech-Related Facial Action Units
Liu, Z., Liu, X., Chen, S., Liu, J., Wang, L., & Bi, C. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3672565 · Cited by 7
Audio-Driven Talking Face Generation with Stabilized Synchronization Loss
Yaman, D., Eyiokur, F. İ., Bärmann, L., Ekenel, H. K., & Waibel, A. H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72655-2_24 · Cited by 7
LR-ASD: Lightweight and Robust Network for Active Speaker Detection
Liao, J., Duan, H., Feng, K., Zhao, W., Yang, Y., Chen, L., & Chen, Y. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02399-2 · Cited by 8
MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
Lin, Y., Fung, H., Xu, J., Ren, Z., Lau, A. S. M., Yin, G., & Li, X. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.02444 · Cited by 7
Decoupled Two-Stage Talking Head Generation via Gaussian-Landmark-Based Neural Radiance Fields
Ma, B., Cao, Y., & Zhang, L. (2025) · Computational Visual Media · doi:10.26599/cvm.2025.9450482 · Cited by 7
Hoover, K., Chaudhuri, S., Pantofaru, C., Sturdy, I., & Slaney, M. (2018) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2018.8461891 · Cited by 7
Audio-Driven Deformation Flow for Effective Lip Reading
Feng, D., Yang, S., Shan, S., & Chen, X. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956316 · Cited by 7
Gurvich, I., Leichter, I., Palle, D. R., Asher, Y., Vinnikov, A., Abramovski, I., Gopal, V., Cutler, R., & Krupka, E. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446169 · Cited by 7
Statistics-Aware Audio-Visual Deepfake Detector
Astrid, M., Ghorbel, E., & Aouada, D. (2024) · Proceedings - International Conference on Image Processing · doi:10.1109/icip51287.2024.10648224 · Cited by 7
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models
Kurzendörfer, D., Mercea, O.-B., Koepke, A. S., & Akata, Z. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00269 · Cited by 8
Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores
Goncalves, L., Mathur, P., Lavania, C., Cekic, M., Federico, M., & Han, K. J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72986-7_17 · Cited by 8
ReSyncer: Rewiring Style-Based Generator for Unified Audio-Visually Synced Facial Performer
Guan, J., Xu, Z., Zhou, H., Wang, K., He, S., Zhang, Z., Liang, B., Feng, H., Ding, E., Liu, J., et al. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72940-9_20 · Cited by 7
A lightweight approach to real-time speaker diarization: from audio toward audio-visual data streams
Kynych, F., Červa, P., Žďánský, J., Svendsen, T. K., & Salvi, G. (2024) · EURASIP Journal on Audio Speech and Music Processing · doi:10.1186/s13636-024-00382-2 · Cited by 7
HyperLips: hyper control lips with high resolution decoder for talking face generation
Chen, Y., Yao, Y., Li, Z., Wang, W., Zhang, Y., Yang, H. S., & Wen, X. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05914-z · Cited by 9
FunnyNet: Audiovisual Learning of Funny Moments in Videos
Liu, Z.-S., Courant, R., & Kalogeiton, V. S. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26316-3_26 · Cited by 7
Kanemura, I., & Kitano, K. (2023) · Scientific Reports · doi:10.1038/s41598-023-27385-x · Cited by 6
A Novel Distance Learning for Elastic Cross-Modal Audio-Visual Matching
Wang, R., Huang, H., Zhang, X., Ma, J., & Zheng, A. (2019) · IEEE International Conference on Multimedia & Expo Workshops (ICMEW) · doi:10.1109/icmew.2019.00-70 · Cited by 7
Deep emotion recognition based on audio–visual correlation
Hajarolasvadi, N., & Demirel, H. (2020) · IET Computer Vision · doi:10.1049/iet-cvi.2020.0013 · Cited by 8
Kwon, Y., Heo, H. S., Huh, J., Lee, B., & Chung, J. S. (2021) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt48900.2021.9383502 · Cited by 7
Self-citationDetecting Adversarial Attacks On Audiovisual Speech RecognitionPreprint
Ma, P., Petridis, S., & Pantić, M. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.08639 · Cited by 7
Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing KinshipPreprint
Robinson, J. P., Khan, Z., Yin, Y., Shao, M., & Fu, Y. (2020) · arXiv (Cornell University) · Cited by 7
INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations
Zhu, Y., Zhang, L., Rong, Z., Hu, T., Liang, S., & Ge, Z. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.00997 · Cited by 10
Canonswap: High-Fidelity and Consistent Video Face Swapping Via Canonical Space Modulation
Luo, X., Zhu, Y., Liu, Y., Lin, L., Wan, C., Cai, Z., Li, Y., & Huang, S. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.00938 · Cited by 6
A Simple and Efficient method for Dubbed Audio Sync Detection using Compressive Sensing
Vajpayee, A., Zhang, Z., Jain, A., & Bhat, V. (2023) · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · doi:10.1109/wacvw58289.2023.00063 · Cited by 6
Chen, Y., Zeng, R., & Xiong, S. (2023) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2023.3323684 · Cited by 7
TRAVID: An End-to-End Video Translation Framework
Adhikary, P. K., Sugandhi, B., Ghimire, S., Pal, S., & Pakray, P. (2023) · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) · doi:10.18653/v1/2023.ijcnlp-demo.1 · Cited by 6
VoxMM: Rich Transcription of Conversations in the Wild
Kwak, D., Jung, J., Nam, K.-H., Jang, Y., Jung, J.-W., Watanabe, S., & Chung, J. S. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446300 · Cited by 6
Self-citationMILG: Realistic lip-sync video generation with audio-modulated image inpainting
Bao, H., Zhang, X., Wang, Q., Liang, K., Wang, Z., Ji, S., & Chen, W. (2024) · Visual Informatics · doi:10.1016/j.visinf.2024.08.002 · Cited by 7
EmoSpeaker: One-Shot Fine-Grained Emotion-Controlled Talking Face Generation
Feng, G., Cheng, H., Li, Y., Ma, Z., Li, C., Qian, Z., Miao, Q., & Pun, C. (2026) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2026.3651074 · Cited by 6
Spotting words in silent speech videos: a retrieval-based approach
Jha, A., Namboodiri, V. P., & Jawahar, C. V. (2019) · Machine Vision and Applications · doi:10.1007/s00138-019-01006-y · Cited by 6
Talking Faces: Audio-to-Video Face Generation
Wang, Y., Song, L., Wu, W., Qian, C., He, R., & Loy, C. C. (2022) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-87664-7_8 · Cited by 6
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection
Sharma, R. A., & Narayanan, S. S. (2023) · IEEE Open Journal of Signal Processing · doi:10.1109/ojsp.2023.3267269 · Cited by 6
Multimodal Transformer Distillation for Audio-Visual Synchronization
Chen, X., Wu, H., Wang, C.-C., Lee, H.-Y., & Jang, J. R. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446372 · Cited by 6
LSTM‐based japanese speaker identification using an omnidirectional camera and voice information
Nakamura, E., Kageyama, Y., & Hirose, S. (2022) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.23555 · Cited by 6
MODEFORMER: Modality-Preserving Embedding For Audio-Video Synchronization Using Transformers
Gupta, A., Tripathi, R., & Jang, W. (2023) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49357.2023.10097209 · Cited by 6
Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm AlignmentPreprint
Planamente, M., Plizzari, C., Alberti, E., & Barbara Caputo, B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.01689 · Cited by 12
Data-Driven Advancements in Lip Motion Analysis: A Review
Torrie, S. A., Sumsion, A. W., Lee, D.-J., & Sun, Z. (2023) · Electronics · doi:10.3390/electronics12224698 · Cited by 6
Scaling Multilingual Visual Speech Recognition
Prajwal, K. R., Hegde, S. B., & Zisserman, A. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890395 · Cited by 5
Self-citationOgri, O. E., El-Mekkaoui, J., Benslimane, M., Hjouji, A., Saidi, A., Ahmad, M., Elmannai, H., & El‐Latif, A. A. A. (2025) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2025.103824 · Cited by 5
Huang, Z., Zhou, Z., Cao, J., Ma, Y., Chen, Y., Rao, Z., Xu, Z., Wang, H., Lin, Q., Zhou, Y., et al. (2025) · SIGGRAPH Asia Conference Papers · doi:10.1145/3757377.3763861 · Cited by 7
Semantic-aware hyper-space deformable neural radiance fields for facial avatar reconstruction
Jin, K., Gu, X., Wang, Z., Kuang, Z., Wu, Z., Tan, M., & Yu, J. (2024) · Pattern Recognition Letters · doi:10.1016/j.patrec.2024.08.004 · Cited by 5
KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding
Xu, Z., Gong, S., Tang, J., Liang, L., Huang, Y., Li, H., & Huang, S. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72992-8_14 · Cited by 5
Enhancing Real-World Active Speaker Detection With Multi-Modal Extraction Pre-Training
Tao, R., Qian, X., Das, R. K., Gao, X., Wang, J., & Li, H. (2024) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2024.3521791 · Cited by 7
Ahn, Y., Chae, J.-W., & Shin, J. W. (2025) · IEEE Signal Processing Letters · doi:10.1109/lsp.2025.3537949 · Cited by 7
APES: Audiovisual Person Search in Untrimmed Video
Alcázar, J. L., Heilbron, F. C., Mai, L., Perazzi, F., Lee, J., Arbeláez, P., & Ghanem, B. (2021) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw53098.2021.00188 · Cited by 6
Cross Modal Video Representations for Weakly Supervised Active Speaker Localization
Sharma, R. A., Somandepalli, K., & Narayanan, S. S. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3229975 · Cited by 5
DR2: Disentangled Recurrent Representation Learning for Data-efficient Speech Video Synthesis
Zhang, C., Wang, C., Zhao, Y., Cheng, S., Luo, L., & Guo, X. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00609 · Cited by 6
FD2Talk: Towards Generalized Talking Head Generation with Facial Decoupled Diffusion Model
Yao, Z., Cheng, X., & Huang, Z. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681238 · Cited by 5
A Survey of Lipreading Methods Based on Deep Learning
HAO, M., MAMUT, M., & Ubul, K. (2020) · International Conference on Image Processing and Machine Vision (IPMV) · doi:10.1145/3421558.3421563 · Cited by 5
SeeHear: Signer Diarisation and a New Dataset
Albanie, S., Varol, G., Momeni, L., Afouras, T., Brown, A., Zhang, C., Coto, E., Camgöz, N. C., Saunders, B., Dutta, A., et al. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414856 · Cited by 5
Self-citationGholipour, A., Taheri, A., & Mohammadzade, H. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-90525-5_7 · Cited by 5
Autolv: Automatic Lecture Video Generator
Wang, W., Song, Y., & Jha, S. K. (2022) · Proceedings - International Conference on Image Processing · doi:10.1109/icip46576.2022.9897436 · Cited by 5
Wavsyncswap: End-To-End Portrait-Customized Audio-Driven Talking Face Generation
Bao, W., Chen, L., Zhou, C., Yang, S., & Wu, Z. (2023) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49357.2023.10094807 · Cited by 5
Data-driven Communicative Behaviour Generation: A Survey
Oralbayeva, N., Aly, A., Sandygulova, A., & Belpaeme, T. (2023) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3609235 · Cited by 6
Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement
Ravichandran, S., Texler, O., Dinev, D., & Kang, H. J. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00445 · Cited by 5
On the Audio-visual Synchronization for Lip-to-Speech Synthesis
Niu, Z., & Mak, B. K.-W. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00721 · Cited by 5
Visual Speech Recognition with Lightweight Psychologically Motivated Gabor Features
Zhang, X., Xu, Y. H., Abel, A. K., Smith, L. S., Watt, R. J., Hussain, A., & Gao, C. (2020) · Entropy · doi:10.3390/e22121367 · Cited by 5
Detection of Audio-Video Synchronization Errors Via Event DetectionPreprint
Ebenezer, J. P., Wu, Y., Wei, H., Sethuraman, S., & Liu, Z. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.10116 · Cited by 5
Look Who's Talking: Active Speaker Detection in the WildPreprint
Kim, Y. J., Heo, H.-S., Choe, S., Chung, S.-W., Kwon, Y., Lee, B., Kwon, Y., & Chung, J. S. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.07640 · Cited by 5
Self-citationSingAvatar: High-fidelity Audio-driven Singing Avatar Synthesis
Ma, W., Tang, A., Ling, J., Xue, H., Liao, H., Zhu, Y., & Song, L. (2024) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme57554.2024.10687925 · Cited by 4
FAIR-VID: A Multimodal Pre-Processing Pipeline for Student Application Analysis
Laukaitis, A., Kalibatienė, D., Jodenytė, D., Normantas, K., Jancevičius, J., Jankauskas, M., & Serackis, A. (2025) · Applied Sciences · doi:10.3390/app152413127 · Cited by 6
MCDubber: Multimodal Context-Aware Expressive Video Dubbing
Zhao, Y., Jia, Z., Liu, R., Hu, D., Bao, F., & Gao, G. (2024) · Communications in computer and information science · doi:10.1007/978-981-96-1045-7_14 · Cited by 4
Unsupervised Federated Learning for Face Recognition in Decentralized Environments
Solomon, E. (2025) · International Conference on Information and Computer Technologies (ICICT) · doi:10.1109/icict64582.2025.00022 · Cited by 4
TalkingFlow: Talking Facial Landmark Generation with Multi-Scale Normalizing Flow Network
Liang, S., Zhou, Z., Li, R., Zhang, J., & Bao, H. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9747663 · Cited by 4
Metadata
- Authors
- Chung, J. S., & Zisserman, A.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Chung, Joon Son
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 251-263
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2604379605
- Cited by
- 689
- References
- 30
- Citations by year
- 2026: 79 · 2025: 102 · 2024: 135 · 2023: 96 · 2022: 76 · 2021: 80 · 2020: 51 · 2019: 31 · 2018: 27 · 2017: 10
- FWCI
- 23.11
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/M013774/1)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Engineering › Media Technology › Multimedia Communication and Technology
- Keywords
- lip synchronization, speech, two-stream convolutional neural network, unsupervised learning, active speaker detection, lip reading
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review