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In this study, we show that landmark detection or face alignment task is not a single and independent problem.
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J. Zhang, S. Shan, M. Kan, and X. Chen, “Coarse-to-fine auto-encoder networks (CFAN) for real-time face alignment,” in European Conference on Computer Vision , 2014, pp. 1–16
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Z. Zhang, P. Luo, C. C. Loy, and X. Tang, “Facial landmark detection by deep multi-task learning,” in European Conference on Computer Vision , 2014, pp. 94–108
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D. Chen, S. Ren, Y. Wei, X. Cao, and J. Sun, “Joint cascade face detection and alignment,” in European Conference on Computer Vision , 2014, pp. 109–122
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M. Pedersoli, R. Timofte, T. Tuytelaars, and L. V. Gool, “Using a deformation field model for localizing faces and facial points under weak supervision,” in IEEE Conference on Computer Vision and Pattern Recognition , 2014, pp. 3694–3701
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Y. Sun, X. Wang, and X. Tang, “Deep learning face representation from predicting 10,000 classes,” in IEEE Conference on Computer Vision and Pattern Recognition , 2014, pp. 1891–1898
2014
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V. Kazemi and S. Josephine, “One millisecond face alignment with an ensemble of regression trees,” in IEEE Conference on Computer Vision and Pattern Recognition , 2014, pp. 1867–1874
2014
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C. Lu and X. Tang, “Surpassing human-level face verification performance on LFW with GaussianFace,” in AAAI Conference on Artificial Intelligence , 2015
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S. Zhu, C. Li, C. C. Loy, and X. Tang, “Face alignment by coarse-to-fine shape searching,” in IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 4998–5006
2015
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