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Out of Time: Automated Lip Sync in the Wild
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“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]
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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
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Sorted by citations
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(2023) · IT Professional · doi:10.1109/mitp.2023.3246667 · Cited by 1,180
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Tao, R., Pan, Z., Das, R. K., Qian, X., Shou, M. Z., & Li, H. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475587 · Cited by 176
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Piergiovanni, A., Angelova, A., & Ryoo, M. S. (2020) · 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/cvpr42600.2020.00021 · Cited by 140
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Song, L., Wu, W., Qian, C., He, R., & Loy, C. C. (2022) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2022.3146783 · Cited by 142
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Torfi, A., Iranmanesh, S. M., Nasrabadi, N. M., & Dawson, J. M. (2017) · IEEE Access · doi:10.1109/access.2017.2761539 · Cited by 118
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Li, J., Zhang, J., Bai, X. P., Zhou, J. W., & Gu, L. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00696 · Cited by 131
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Wang, S., Li, L., Ding, Y., & Yu, X. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i3.20154 · Cited by 115
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Xu, B., Lu, C., Guo, Y., & Wang, J. (2020) · 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/cvpr42600.2020.01444 · Cited by 113
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Chung, S.-W., Chung, J. S., & Kang, H.-G. (2019) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2019.8682524 · Cited by 108
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Shen, S., Li, W., Zhu, Z. D., Duan, Y., Zhou, J., & Lu, J. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19775-8_39 · Cited by 107
Zhang, J.-X., Ling, Z.-H., & Dai, L.-R. (2019) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2019.2960721 · Cited by 105
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“Unfortunately, videos in the wild are often “naturally” misaligned due to errors in encoding or recording, such as by having a single, consistent shift by a few frames [2, 23].”
BackgroundMethodInfluentialLahiri, A., Kwatra, V., Frueh, C., Lewis, J., & Bregler, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00278 · Cited by 101
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Cai, Z., Stefanov, K., Dhall, A., & Hayat, M. (2022) · 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta56598.2022.10034605 · Cited by 99
“video and audio), and contrastive loss has been shown [66], [28] to be a powerful objective for”
BackgroundTian, L., Wang, Q. J., Zhang, B., & Bo, L. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73010-8_15 · Cited by 211
Tian, L., Wang, Q., Zhang, B., & Bo, L. (2024) · arXiv · doi:10.48550/arxiv.2402.17485 · Cited by 92
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Gan, Y., Yang, Z., Yue, X., Sun, L., & Yang, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02069 · Cited by 72
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Li, L., Wang, S., Zhang, Z., Ding, Y., Zheng, Y., Yu, X., & Fan, C. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i3.16286 · Cited by 72
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator
Guan, J., Zhang, Z., Zhou, H., Hu, T., Wang, K., He, D., Feng, H., Liu, J., Ding, E., Liu, Z., et al. (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/cvpr52729.2023.00151 · Cited by 71
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Habibie, I., Elgharib, M. A., Sarkar, K., Abdullah, A., Nyatsanga, S., Neff, M., & Theobalt, C. (2022) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3528233.3530750 · Cited by 67
Alcázar, J. L., Caba, F., Mai, L., Perazzi, F., Lee, J., Arbeláez, P., & Ghanem, B. (2020) · 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/cvpr42600.2020.01248 · Cited by 69
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Self-citation
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
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