Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks
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Can Gao | Zhihui Lai | Jun Wan | Jie Zhou | Jing Li | Zhihui Lai | Jie Zhou | Jing Li | C. Gao | Jun Wan
[1] Wenyu Liu,et al. Face Alignment With Deep Regression , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[2] Josef Kittler,et al. Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] Yi Yang,et al. Style Aggregated Network for Facial Landmark Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Qilong Wang,et al. Global Second-Order Pooling Convolutional Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Cheng Li,et al. Face alignment by coarse-to-fine shape searching , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] William J. Christmas,et al. Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Cheng Li,et al. Unconstrained Face Alignment via Cascaded Compositional Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Subhransu Maji,et al. Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Jian Sun,et al. Face Alignment at 3000 FPS via Regressing Local Binary Features , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Qilong Wang,et al. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Jian Sun,et al. Face Alignment by Explicit Shape Regression , 2012, International Journal of Computer Vision.
[13] Deva Ramanan,et al. Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] David J. Kriegman,et al. Localizing Parts of Faces Using a Consensus of Exemplars , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Xinbo Gao,et al. Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[16] Thomas S. Huang,et al. Interactive Facial Feature Localization , 2012, ECCV.
[17] Nicholas J. Higham,et al. Functions of matrices - theory and computation , 2008 .
[18] William J. Christmas,et al. Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting , 2015, IEEE Transactions on Image Processing.
[19] Maja Pantic,et al. Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Christian Theobalt,et al. Reconstruction of Personalized 3D Face Rigs from Monocular Video , 2016, ACM Trans. Graph..
[21] Yici Cai,et al. Look at Boundary: A Boundary-Aware Face Alignment Algorithm , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Mingjie Zheng,et al. Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Shiguang Shan,et al. Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] José Miguel Buenaposada,et al. A Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment , 2018, ECCV.
[25] Josephine Sullivan,et al. One millisecond face alignment with an ensemble of regression trees , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.
[27] Fernando De la Torre,et al. Supervised Descent Method and Its Applications to Face Alignment , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[29] Gerhard Rigoll,et al. Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[30] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Yi Yang,et al. Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Pietro Perona,et al. Robust Face Landmark Estimation under Occlusion , 2013, 2013 IEEE International Conference on Computer Vision.
[33] Tal Hassner,et al. Effective face frontalization in unconstrained images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] George Trigeorgis,et al. Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Bo Du,et al. Robust face alignment by cascaded regression and de-occlusion , 2019, Neural Networks.
[36] Stefanos Zafeiriou,et al. 300 Faces In-The-Wild Challenge: database and results , 2016, Image Vis. Comput..
[37] Xiaoou Tang,et al. Facial Landmark Detection by Deep Multi-task Learning , 2014, ECCV.
[38] Ming Tang,et al. Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Timothy F. Cootes,et al. Feature Detection and Tracking with Constrained Local Models , 2006, BMVC.
[40] Charless C. Fowlkes,et al. Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Hanjiang Lai,et al. Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks , 2016, ECCV.
[42] Shu-Tao Xia,et al. Second-Order Attention Network for Single Image Super-Resolution , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Jun Chang,et al. Face alignment by Component Adaptive Mechanism , 2019, Neurocomputing.
[44] Qinghua Hu,et al. Deep Global Generalized Gaussian Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Qingshan Liu,et al. Stacked Hourglass Network for Robust Facial Landmark Localisation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[46] Dao-Qing Dai,et al. Learning Kernel Extended Dictionary for Face Recognition , 2017, IEEE Transactions on Neural Networks and Learning Systems.