WC2FEst-Net: Wavelet-Based Coarse-to-Fine Head Pose Estimation from a Single Image

[1]  Yang Xu,et al.  Temporal representation learning for time series classification , 2020, Neural Computing and Applications.

[2]  Cun Ji,et al.  A novel multi-resolution representation for time series sensor data analysis , 2020, Soft Comput..

[3]  Peng Jiang,et al.  Deep Learning Inversion of Electrical Resistivity Data , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Peng Jiang,et al.  Deep-Learning Inversion of Seismic Data , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Yung-Yu Chuang,et al.  FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[6]  Wei Luo,et al.  Multi-resolution representation with recurrent neural networks application for streaming time series in IoT , 2019, Comput. Networks.

[7]  Zhihua Li,et al.  Adjustable loads control and stochastic stability analysis for multi-energy generation system based on Markov model , 2019, Neural Computing and Applications.

[8]  Ruigang Yang,et al.  ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Xiaoming Liu,et al.  Face Alignment in Full Pose Range: A 3D Total Solution , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  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.

[11]  James M. Rehg,et al.  Fine-Grained Head Pose Estimation Without Keypoints , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[12]  Ramakant Nevatia,et al.  FacePoseNet: Making a Case for Landmark-Free Face Alignment , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

[13]  Jan Kautz,et al.  Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  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).

[15]  Rama Chellappa,et al.  KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

[16]  Xiangyu Zhu,et al.  Face Alignment in Full Pose Range: A 3D Total Solution , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Jan Kautz,et al.  Robust Model-Based 3D Head Pose Estimation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[18]  Rainer Stiefelhagen,et al.  Real Time Head Model Creation and Head Pose Estimation on Consumer Depth Cameras , 2014, 2014 2nd International Conference on 3D Vision.

[19]  Josephine Sullivan,et al.  One millisecond face alignment with an ensemble of regression trees , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[20]  Stefanos Zafeiriou,et al.  300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[21]  Luc Van Gool,et al.  Random Forests for Real Time 3D Face Analysis , 2012, International Journal of Computer Vision.

[22]  Deva Ramanan,et al.  Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Horst Bischof,et al.  Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[24]  Luc Van Gool,et al.  Real Time Head Pose Estimation from Consumer Depth Cameras , 2011, DAGM-Symposium.

[25]  Sethuraman Panchanathan,et al.  Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Surendra Ranganath,et al.  Head pose estimation by non-linear embedding and mapping , 2005, IEEE International Conference on Image Processing 2005.

[27]  Kim L. Boyer,et al.  Head pose estimation using view based eigenspaces , 2002, Object recognition supported by user interaction for service robots.

[28]  Takeo Kanade,et al.  Neural Network-Based Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Federico Girosi,et al.  Training support vector machines: an application to face detection , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[30]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..