Attention-Driven Cropping for Very High Resolution Facial Landmark Detection
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Thabo Beeler | Prashanth Chandran | Derek Bradley | Markus Gross | M. Gross | D. Bradley | T. Beeler | Prashanth Chandran | P. Chandran | M. Gross
[1] Feng Zhou,et al. Deep Deformation Network for Object Landmark Localization , 2016, ECCV.
[2] Qingshan Liu,et al. Stacked Hourglass Network for Robust Facial Landmark Localisation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[3] Zuochang Ye,et al. FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[4] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[5] Xiaoming Liu,et al. Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Jiwen Lu,et al. Two-Stream Transformer Networks for Video-Based Face Alignment , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[8] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[10] Georgios Tzimiropoulos,et al. How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks) , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[11] Jonathan Tompson,et al. Efficient object localization using Convolutional Networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Yu Qiao,et al. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks , 2016, IEEE Signal Processing Letters.
[13] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[14] 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).
[15] Rama Chellappa,et al. HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Thabo Beeler,et al. High-quality single-shot capture of facial geometry , 2010, ACM Trans. Graph..
[17] Ioannis A. Kakadiaris,et al. Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[18] Yuan Dong,et al. Adaptive Cascade Deep Convolutional Neural Networks for face alignment , 2015, Comput. Stand. Interfaces.
[19] 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.
[20] Georgios Tzimiropoulos,et al. Project-Out Cascaded Regression with an application to face alignment , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Yuning Jiang,et al. Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[22] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[24] Xiaoming Liu,et al. Pose-Invariant Face Alignment with a Single CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[25] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[26] George Trigeorgis,et al. The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[27] Marios Savvides,et al. Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[28] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Cheng Li,et al. Face alignment by coarse-to-fine shape searching , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] George Trigeorgis,et al. Joint Multi-View Face Alignment in the Wild , 2017, IEEE Transactions on Image Processing.
[32] Yi Yang,et al. Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Stefanos Zafeiriou,et al. The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[34] 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.
[35] Josephine Sullivan,et al. One millisecond face alignment with an ensemble of regression trees , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Pavlo Molchanov,et al. Hand Pose Estimation via Latent 2.5D Heatmap Regression , 2018, ECCV.
[37] Heng Huang,et al. Direct Shape Regression Networks for End-to-End Face Alignment , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] 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).
[39] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[40] Xiaoou Tang,et al. Learning Deep Representation for Face Alignment with Auxiliary Attributes , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[42] Xiaogang Wang,et al. Deep Convolutional Network Cascade for Facial Point Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Robert B. Fisher,et al. 3D Visual passcode: Speech-driven 3D facial dynamics for behaviometrics , 2019, Signal Process..
[44] Ashraf A. Kassim,et al. Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[45] Xiangyu Zhu,et al. Face Alignment in Full Pose Range: A 3D Total Solution , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Marek Kowalski,et al. Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[47] Jian Sun,et al. Face Alignment by Explicit Shape Regression , 2012, International Journal of Computer Vision.
[48] Cheng Cheng,et al. A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Yi Yang,et al. Style Aggregated Network for Facial Landmark Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[50] 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.
[51] Xiaoming Liu,et al. Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos , 2019, AAAI.
[52] Xiaoou Tang,et al. Facial Landmark Detection by Deep Multi-task Learning , 2014, ECCV.