暂无分享,去创建一个
Yizhou Wang | Benyuan Sun | Tianfu Wu | Yunzhu Li | Yizhou Wang | Yunzhu Li | Tianfu Wu | Benyuan Sun
[1] Silvio Savarese,et al. Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[2] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[3] ZhangZhengyou,et al. A survey on face detection in the wild , 2015 .
[4] 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).
[5] Pietro Perona,et al. Fast Feature Pyramids for Object Detection , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Andrew Zisserman,et al. Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.
[7] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Sinisa Todorovic,et al. From contours to 3D object detection and pose estimation , 2011, 2011 International Conference on Computer Vision.
[9] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[10] Erik Learned-Miller,et al. FDDB: A benchmark for face detection in unconstrained settings , 2010 .
[11] Gang Hua,et al. A convolutional neural network cascade for face detection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Shuo Yang,et al. From Facial Parts Responses to Face Detection: A Deep Learning Approach , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Zheng Zhang,et al. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems , 2015, ArXiv.
[15] Adrian Barbu,et al. Face Detection Using a 3D Model on Face Keypoints , 2014, ArXiv.
[16] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[18] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Donald Geman,et al. Coarse-to-Fine Face Detection , 2004, International Journal of Computer Vision.
[20] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[21] Jian Sun,et al. Instance-Aware Semantic Segmentation via Multi-task Network Cascades , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Luc Van Gool,et al. Face Detection without Bells and Whistles , 2014, ECCV.
[23] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[24] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[25] Cordelia Schmid,et al. Multi-view object class detection with a 3D geometric model , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Harry Shum,et al. Kullback-Leibler boosting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[27] Wenze Hu,et al. Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[29] Rama Chellappa,et al. A deep pyramid Deformable Part Model for face detection , 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).
[30] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[31] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[32] Yuan Li,et al. High-Performance Rotation Invariant Multiview Face Detection , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Pawan Sinha,et al. Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About , 2006, Proceedings of the IEEE.
[34] Jitendra Malik,et al. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[36] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Deva Ramanan,et al. Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[39] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Doris Y. Tsao,et al. Functional Compartmentalization and Viewpoint Generalization Within the Macaque Face-Processing System , 2010, Science.
[41] Takeshi Mita,et al. Joint Haar-like features for face detection , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.