%Entries
@article{zhang2016joint,
	title={Joint face detection and alignment using multitask cascaded convolutional networks},
	author={Zhang, Kaipeng and Zhang, Zhanpeng and Li, Zhifeng and Qiao, Yu},
	journal={IEEE Signal Processing Letters},
	volume={23},
	number={10},
	pages={1499--1503},
	year={2016},
	publisher={IEEE}
}

@article{simonyan2014very,
	title={Very deep convolutional networks for large-scale image recognition},
	author={Simonyan, Karen and Zisserman, Andrew},
	journal={arXiv preprint arXiv:1409.1556},
	year={2014}
}

@inproceedings{he2016deep,
	title={Deep residual learning for image recognition},
	author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
	booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
	pages={770--778},
	year={2016}
}

@article{huang2016densely,
	title={Densely connected convolutional networks},
	author={Huang, Gao and Liu, Zhuang and Weinberger, Kilian Q and van der Maaten, Laurens},
	journal={arXiv preprint arXiv:1608.06993},
	year={2016}
}

@article{shan2012smile,
	title={Smile detection by boosting pixel differences},
	author={Shan, Caifeng},
	journal={IEEE transactions on image processing},
	volume={21},
	number={1},
	pages={431--436},
	year={2012},
	publisher={IEEE}
}

@inproceedings{viola2002fast,
	title={Fast and robust classification using asymmetric adaboost and a detector cascade},
	author={Viola, Paul and Jones, Michael},
	booktitle={Advances in neural information processing systems},
	pages={1311--1318},
	year={2002}
}

@inproceedings{liu2012enhancing,
	title={Enhancing expression recognition in the wild with unlabeled reference data},
	author={Liu, Mengyi and Li, Shaoxin and Shan, Shiguang and Chen, Xilin},
	booktitle={Asian Conference on Computer Vision},
	pages={577--588},
	year={2012},
	organization={Springer}
}
@article{deniz2011face,
	title={Face recognition using histograms of oriented gradients},
	author={D{\'e}niz, Oscar and Bueno, Gloria and Salido, Jes{\'u}s and De la Torre, Fernando},
	journal={Pattern Recognition Letters},
	volume={32},
	number={12},
	pages={1598--1603},
	year={2011},
	publisher={Elsevier}
}

@article{an2015efficient,
	title={Efficient smile detection by extreme learning machine},
	author={An, Le and Yang, Songfan and Bhanu, Bir},
	journal={Neurocomputing},
	volume={149},
	pages={354--363},
	year={2015},
	publisher={Elsevier}
}

@article{ahonen2004face,
	title={Face recognition with local binary patterns},
	author={Ahonen, Timo and Hadid, Abdenour and Pietik{\"a}inen, Matti},
	journal={Computer vision-eccv 2004},
	pages={469--481},
	year={2004},
	publisher={Springer}
}

@inproceedings{ojansivu2008blur,
	title={Blur insensitive texture classification using local phase quantization},
	author={Ojansivu, Ville and Heikkil{\"a}, Janne},
	booktitle={International conference on image and signal processing},
	pages={236--243},
	year={2008},
	organization={Springer}
}

@article{cortes1995support,
	title={Support vector machine},
	author={Cortes, Corinna and Vapnik, Vladimir},
	journal={Machine learning},
	volume={20},
	number={3},
	pages={273--297},
	year={1995}
}

@inproceedings{jain2013smile,
	title={Smile detection using multi-scale gaussian derivatives},
	author={Jain, Varun and Crowley, James L},
	booktitle={12th WSEAS International Conference on Signal Processing, Robotics and Automation},
	year={2013}
}

@article{chen2017smile,
	title={Smile detection in the wild with deep convolutional neural networks},
	author={Chen, Junkai and Ou, Qihao and Chi, Zheru and Fu, Hong},
	journal={Machine vision and applications},
	volume={28},
	number={1-2},
	pages={173--183},
	year={2017},
	publisher={Springer}
}

@inproceedings{zhang2015facial,
	title={Facial smile detection based on deep learning features},
	author={Zhang, Kaihao and Huang, Yongzhen and Wu, Hong and Wang, Liang},
	booktitle={Pattern Recognition (ACPR), 2015 3rd IAPR Asian Conference on},
	pages={534--538},
	year={2015},
	organization={IEEE}
}

@book{ekman1997face,
	title={What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS)},
	author={Ekman, Paul and Rosenberg, Erika L},
	year={1997},
	publisher={Oxford University Press, USA}
}

@inproceedings{van2005model,
	title={A model based method for automatic facial expression recognition},
	author={Van Kuilenburg, Hans and Wiering, MA and Den Uyl, Marten},
	booktitle={Proceedings of the 16th European Conference on Machine Learning (ECML'05)},
	pages={194--205},
	year={2005},
	organization={Springer}
}

@article{tang2013deep,
	title={Deep learning using support vector machines},
	author={Tang, Yichuan},
	journal={CoRR, abs/1306.0239},
	volume={2},
	year={2013}
}

@misc{kagglecompetition,
	title = {Challenges in Respresentation Learning: Facial Expression Recognition Challenge},
	year={2013},
}

@article{o1997sex,
	title={Sex classification is better with three-dimensional head structure than with image intensity information},
	author={O'toole, Alice J and Vetter, Thomas and Troje, Nikolaus F and B{\"u}lthoff, Heinrich H},
	journal={Perception},
	volume={26},
	number={1},
	pages={75--84},
	year={1997},
	publisher={SAGE Publications Sage UK: London, England}
}

@inproceedings{he2004locality,
	title={Locality preserving projections},
	author={He, Xiaofei and Niyogi, Partha},
	booktitle={Advances in neural information processing systems},
	pages={153--160},
	year={2004}
}

@article{baluja2007boosting,
	title={Boosting sex identification performance},
	author={Baluja, Shumeet and Rowley, Henry A and others},
	journal={International Journal of computer vision},
	volume={71},
	number={1},
	pages={111--119},
	year={2007}
}

@inproceedings{golomb1990sexnet,
	title={SEXNET: A Neural Network Identifies Sex From Human Faces.},
	author={Golomb, Beatrice A and Lawrence, David T and Sejnowski, Terrence J},
	booktitle={NIPS},
	volume={1},
	pages={2},
	year={1990}
}

@inproceedings{ullah2012gender,
	title={Gender recognition from face images with local wld descriptor},
	author={Ullah, Ihsan and Hussain, Muhammad and Muhammad, Ghulam and Aboalsamh, Hatim and Bebis, George and Mirza, Anwar M},
	booktitle={Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on},
	pages={417--420},
	year={2012},
	organization={IEEE}
}

@article{chen2010wld,
	title={WLD: A robust local image descriptor},
	author={Chen, Jie and Shan, Shiguang and He, Chu and Zhao, Guoying and Pietikainen, Matti and Chen, Xilin and Gao, Wen},
	journal={IEEE transactions on pattern analysis and machine intelligence},
	volume={32},
	number={9},
	pages={1705--1720},
	year={2010},
	publisher={IEEE}
}

@inproceedings{levi2015age,
	title={Age and gender classification using convolutional neural networks},
	author={Levi, Gil and Hassner, Tal},
	booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
	pages={34--42},
	year={2015}
}

@article{lecun1998gradient,
	title={Gradient-based learning applied to document recognition},
	author={LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick},
	journal={Proceedings of the IEEE},
	volume={86},
	number={11},
	pages={2278--2324},
	year={1998},
	publisher={IEEE}
}

@inproceedings{szegedy2015going,
	title={Going deeper with convolutions},
	author={Szegedy, Christian and Liu, Wei and Jia, Yangqing and Sermanet, Pierre and Reed, Scott and Anguelov, Dragomir and Erhan, Dumitru and Vanhoucke, Vincent and Rabinovich, Andrew},
	booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
	pages={1--9},
	year={2015}
}

@incollection{caruana1998multitask,
	title={Multitask learning},
	author={Caruana, Rich},
	booktitle={Learning to learn},
	pages={95--133},
	year={1998},
	publisher={Springer}
}

@article{kaiser2017one,
	title={One Model To Learn Them All},
	author={Kaiser, Lukasz and Gomez, Aidan N and Shazeer, Noam and Vaswani, Ashish and Parmar, Niki and Jones, Llion and Uszkoreit, Jakob},
	journal={arXiv preprint arXiv:1706.05137},
	year={2017}
}

@inproceedings{rothe2015dex,
	title={Dex: Deep expectation of apparent age from a single image},
	author={Rothe, Rasmus and Timofte, Radu and Van Gool, Luc},
	booktitle={Proceedings of the IEEE International Conference on Computer Vision Workshops},
	pages={10--15},
	year={2015}
}

@article{srivastava2014dropout,
	title={Dropout: a simple way to prevent neural networks from overfitting.},
	author={Srivastava, Nitish and Hinton, Geoffrey E and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
	journal={Journal of machine learning research},
	volume={15},
	number={1},
	pages={1929--1958},
	year={2014}
}

@inproceedings{nair2010rectified,
	title={Rectified linear units improve restricted boltzmann machines},
	author={Nair, Vinod and Hinton, Geoffrey E},
	booktitle={Proceedings of the 27th international conference on machine learning (ICML-10)},
	pages={807--814},
	year={2010}
}

@inproceedings{ioffe2015batch,
	title={Batch normalization: Accelerating deep network training by reducing internal covariate shift},
	author={Ioffe, Sergey and Szegedy, Christian},
	booktitle={International Conference on Machine Learning},
	pages={448--456},
	year={2015}
}

@inproceedings{krizhevsky2012imagenet,
	title={Imagenet classification with deep convolutional neural networks},
	author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
	booktitle={Advances in neural information processing systems},
	pages={1097--1105},
	year={2012}
}

@article{chen2014learning,
	title={Learning Ensembles of Convolutional Neural Networks},
	author={Chen, Liran and Shakhnarovich, Greg},
	year={2014}
}

@article{xie2016aggregated,
  title={Aggregated residual transformations for deep neural networks},
  author={Xie, Saining and Girshick, Ross and Doll{\'a}r, Piotr and Tu, Zhuowen and He, Kaiming},
  journal={arXiv preprint arXiv:1611.05431},
  year={2016}
}

@article{zagoruyko2016wide,
  title={Wide residual networks},
  author={Zagoruyko, Sergey and Komodakis, Nikos},
  journal={arXiv preprint arXiv:1605.07146},
  year={2016}
}

@misc{cootes2004statistical,
  title={Statistical models of appearance for computer vision},
  author={Cootes, Timothy F and Taylor, Cristopher J and others},
  year={2004},
  publisher={Technical report, University of Manchester}
}

@article{ranjan2016hyperface,
  title={Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition},
  author={Ranjan, Rajeev and Patel, Vishal M and Chellappa, Rama},
  journal={arXiv preprint arXiv:1603.01249},
  year={2016}
}

@inproceedings{sangdv2017smile,
	title={Facial Smile Detection Using Convolutional Neural Networks},
	author={Sang, Dinh Viet and Cuong, Le Tran Bao and Thuan, Do Phan},
	booktitle={The 9th International Conference on Knowledge and Systems Engineering (KSE 2017)},
	pages={138--143},
	year={2017}
}

@inproceedings{sangdv2017emotion,
	title={Facial Expression Recognition Using Deep Convolutional Neural Networks},
	author={Sang, Dinh Viet and Dat, Nguyen Van and Thuan, Do Phan},
	booktitle={The 9th International Conference on Knowledge and Systems Engineering (KSE 2017)},
	pages={144--149},
	year={2017}
}

@inproceedings{he2016identity,
	title={Identity mappings in deep residual networks},
	author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
	booktitle={European Conference on Computer Vision},
	pages={630--645},
	year={2016},
	organization={Springer}
}

@inproceedings{sang2017multitask,
  author    = {Dinh Viet Sang and
               Le Tran Bao Cuong and
               Vu Van Thieu},
  title     = {Multi-task learning for smile detection, emotion recognition and gender
               classification},
  booktitle = {Proceedings of the Eighth International Symposium on Information and
               Communication Technology, Nha Trang City, Viet Nam, December 7-8,
               2017},
  pages     = {340--347},
  year      = {2017}
}