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62 lines
4.1 KiB
Plaintext
62 lines
4.1 KiB
Plaintext
Please cite DeepFace in your publications if it helps your research. Here is an example BibTeX entry:
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@inproceedings{serengil2020lightface,
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title={LightFace: A Hybrid Deep Face Recognition Framework},
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author={Serengil, Sefik Ilkin and Ozpinar, Alper},
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booktitle={2020 Innovations in Intelligent Systems and Applications Conference (ASYU)},
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pages={23-27},
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year={2020},
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doi={10.1109/ASYU50717.2020.9259802},
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organization={IEEE}
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}
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DeepFace is cited by the following papers.
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[1] Ghosh, Avijit, Ritam Dutt, and Christo Wilson. "When Fair Ranking Meets Uncertain Inference." arXiv preprint arXiv:2105.02091 (2021).
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[2] Yüksel, Oğuz Kaan, et al. "LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions." arXiv preprint arXiv:2104.00820 (2021).
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[3] Karduni, Alireza, et al. "Images, Emotions, and Credibility: Effect of Emotional Facial Images on Perceptions of News Content Bias and Source Credibility in Social Media." arXiv preprint arXiv:2102.13167 (2021).
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[4] Pu, Jiameng, et al. "Deepfake Videos in the Wild: Analysis and Detection." arXiv preprint arXiv:2103.04263 (2021).
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[5] Hazirbas, Caner, et al. "Towards measuring fairness in AI: the Casual Conversations dataset." arXiv preprint arXiv:2104.02821 (2021).
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[6] Mugalu, Ben Wycliff, et al. "Face Recognition as a Method of Authentication in a Web-Based System." arXiv preprint arXiv:2103.15144 (2021).
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[7] Lyu, Hanjia, et al. "State-level Racially Motivated Hate Crimes Contrast Public Opinion on the# StopAsianHate and# StopAAPIHate Movement." arXiv preprint arXiv:2104.14536 (2021).
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[8] YADAV, NAND. "TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations." (2021).
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[9] Atanassov, Atanas, and Dimitar Pilev. "Pre-trained Deep Learning Models for Facial Emotions Recognition." 2020 International Conference Automatics and Informatics (ICAI). IEEE, 2020.
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[10] Greco, Antonio, et al. "Benchmarking deep network architectures for ethnicity recognition using a new large face dataset." Machine Vision and Applications 31.7 (2020): 1-13.
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[11] de Almeida, João Carlos Miranda. "Automatic Emotion Identification: Analysis and Detection of Facial Expressions in Movies." (2020).
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[12] Morcillo Vizuete, Francisco. Desarrollo de un sistema de reconocimiento facial utilizando Deep Learning con OpenCV. Diss. Universitat Politècnia de València, 2020.
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[13] Jacob, Melvin Paul. "COMPARISON OF POPULAR FACE DETECTION AND RECOGNITION TECHNIQUES.". International Research Journal of Modernization in Engineering Technology and Science. Vol 3, Issue 4. 2021.
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[14] Yalavarthi Bharat Chandra et al, A Comparative Analysis Of Face Recognition Models On Masked Faces, International Journal of Scientific & Technology Research. Vol 9, Issue 10. 2020.
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[15] Pelkonen, Riku. "Holmes–virtuaalinen ovimies." (2021).
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[16] Kit, Oleg. "Face Biometrics as a Potential Predictor for COVID-19 Susceptibility." (2021).
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[17] Xu, Shusong, Zixuan Zhou, and Make Tao. "Accuracy Improvement of Age Prediction Model Based on AutoML." Journal of Physics: Conference Series. Vol. 1748. No. 3. IOP Publishing, 2021.
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[18] Hazirbas, Caner, et al. "Casual Conversations: A Dataset for Measuring Fairness in AI." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.
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[19] Grimmer, Marcel, Raghavendra Ramachandra, and Christoph Busch. "Deep Face Age Progression: A Survey." IEEE Access (2021).
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[20] Wang, Junda et al. “How COVID-19 Have Changed Crowdfunding: Evidence From GoFundMe.” (2021).
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Based on the following academic repositories
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[1] Google Scholar: https://scholar.google.com/scholar?oi=bibs&hl=tr&cites=17652496388087594988
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[2] Semantic Scholar: https://www.semanticscholar.org/paper/LightFace%3A-A-Hybrid-Deep-Face-Recognition-Framework-Serengil-Ozpinar/657618c55d8d592551954b1f394f76b576bbed14#citing-papers
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[3] https://www.researchgate.net/publication/346308816_LightFace_A_Hybrid_Deep_Face_Recognition_Framework?_sg=jdvZXW3uDQ6jROYw8Q24fN3U5DSWjUU39K9QAOWdgWnWTgUgXKOM6WyIH2Cs_AKaRd3gs4gJX3V3giu7V8USOwbE7CSTUOB5Su2GqufK.XKE1deAE7iiB67Kz6ydoA9TGPl4qVqAEFs8N5vxKE1PZhFcu-na4yQHi62gd0TKehI8KFjMfeTRyyJvtqqj3wA
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