
@inproceedings{chen2020offset,
  title={Offset calibration for appearance-based gaze estimation via gaze decomposition},
  author={Chen, Zhaokang and Shi, Bertram},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={270--279},
  year={2020}
}

@inproceedings{chen2020simple,
  title={A simple framework for contrastive learning of visual representations},
  author={Chen, Ting and Kornblith, Simon and Norouzi, Mohammad and Hinton, Geoffrey},
  booktitle={International conference on machine learning},
  pages={1597--1607},
  year={2020},
  organization={PMLR}
}

@inproceedings{rhodin2018unsupervised,
  title={Unsupervised geometry-aware representation for 3d human pose estimation},
  author={Rhodin, Helge and Salzmann, Mathieu and Fua, Pascal},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={750--767},
  year={2018}
}

@inproceedings{park2020towards,
  title={Towards end-to-end video-based eye-tracking},
  author={Park, Seonwook and Aksan, Emre and Zhang, Xucong and Hilliges, Otmar},
  booktitle={European conference on computer vision},
  pages={747--763},
  year={2020},
  organization={Springer}
}


@inproceedings{zhang2016colorful,
  title={Colorful image colorization},
  author={Zhang, Richard and Isola, Phillip and Efros, Alexei A},
  booktitle={European conference on computer vision},
  pages={649--666},
  year={2016},
  organization={Springer}
}


@inproceedings{zhang2015appearance,
  title={Appearance-based gaze estimation in the wild},
  author={Zhang, Xucong and Sugano, Yusuke and Fritz, Mario and Bulling, Andreas},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4511--4520},
  year={2015}
}

 @inproceedings{krafka2016eye,
  title={Eye tracking for everyone},
  author={Krafka, Kyle and Khosla, Aditya and Kellnhofer, Petr and Kannan, Harini and Bhandarkar, Suchendra and Matusik, Wojciech and Torralba, Antonio},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2176--2184},
  year={2016}
}

@inproceedings{FischerECCV2018,
author = {Tobias Fischer and Hyung Jin Chang and Yiannis Demiris},
title = {{RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments}},
booktitle = {European Conference on Computer Vision},
year = {2018},
month = {September},
pages = {339--357}
}

@inproceedings{park2019few,
  title={Few-shot adaptive gaze estimation},
  author={Park, Seonwook and Mello, Shalini De and Molchanov, Pavlo and Iqbal, Umar and Hilliges, Otmar and Kautz, Jan},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={9368--9377},
  year={2019}
}

@article{zheng2020self,
  title={Self-learning transformations for improving gaze and head redirection},
  author={Zheng, Yufeng and Park, Seonwook and Zhang, Xucong and De Mello, Shalini and Hilliges, Otmar},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={13127--13138},
  year={2020}
}

@article{chen2020geddnet,
  title={GEDDnet: A Network for Gaze Estimation with Dilation and Decomposition},
  author={Chen, Zhaokang and Shi, Bertram E},
  journal={arXiv preprint arXiv:2001.09284},
  year={2020}
}

@inproceedings{chen2020offset,
  title={Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition},
  author={Chen, Zhaokang and Shi, Bertram},
  booktitle={The IEEE Winter Conference on Applications of Computer Vision},
  pages={270--279},
  year={2020}
}

@inproceedings{finn2017model,
  title={Model-agnostic meta-learning for fast adaptation of deep networks},
  author={Finn, Chelsea and Abbeel, Pieter and Levine, Sergey},
  booktitle={International Conference on Machine Learning},
  pages={1126--1135},
  year={2017},
  organization={PMLR}
}

@inproceedings{hinton2011transforming,
  title={Transforming auto-encoders},
  author={Hinton, Geoffrey E and Krizhevsky, Alex and Wang, Sida D},
  booktitle={International conference on artificial neural networks},
  pages={44--51},
  year={2011},
  organization={Springer}
}
@inproceedings{liu2018differential,
  title={A Differential Approach for Gaze Estimation with Calibration.},
  author={Liu, Gang and Yu, Yu and Mora, Kenneth Alberto Funes and Odobez, Jean-Marc},
  booktitle={BMVC},
  volume={2},
  pages={6},
  year={2018}
}

@inproceedings{cheng2020coarse,
  title={A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation.},
  author={Cheng, Yihua and Huang, Shiyao and Wang, Fei and Qian, Chen and Lu, Feng},
  booktitle={AAAI},
  pages={10623--10630},
  year={2020}
}

@article{cheng2020gaze,
  title={Gaze Estimation by Exploring Two-Eye Asymmetry},
  author={Cheng, Yihua and Zhang, Xucong and Lu, Feng and Sato, Yoichi},
  journal={IEEE Transactions on Image Processing},
  volume={29},
  pages={5259--5272},
  year={2020},
  publisher={IEEE}
}

@inproceedings{zhang2017s,
  title={It's written all over your face: Full-face appearance-based gaze estimation},
  author={Zhang, Xucong and Sugano, Yusuke and Fritz, Mario and Bulling, Andreas},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={51--60},
  year={2017}
}


@inproceedings{misra2020self,
  title={Self-supervised learning of pretext-invariant representations},
  author={Misra, Ishan and Maaten, Laurens van der},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6707--6717},
  year={2020}
}

@inproceedings{noroozi2017representation,
  title={Representation learning by learning to count},
  author={Noroozi, Mehdi and Pirsiavash, Hamed and Favaro, Paolo},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={5898--5906},
  year={2017}
}

@inproceedings{noroozi2016unsupervised,
  title={Unsupervised learning of visual representations by solving jigsaw puzzles},
  author={Noroozi, Mehdi and Favaro, Paolo},
  booktitle={European conference on computer vision},
  pages={69--84},
  year={2016},
  organization={Springer}
}

@InProceedings{Doersch_2015_ICCV,
author = {Doersch, Carl and Gupta, Abhinav and Efros, Alexei A.},
title = {Unsupervised Visual Representation Learning by Context Prediction},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2015}
}

@inproceedings{he2020momentum,
  title={Momentum contrast for unsupervised visual representation learning},
  author={He, Kaiming and Fan, Haoqi and Wu, Yuxin and Xie, Saining and Girshick, Ross},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={9729--9738},
  year={2020}
}

@inproceedings{chen2020simple,
  title={A simple framework for contrastive learning of visual representations},
  author={Chen, Ting and Kornblith, Simon and Norouzi, Mohammad and Hinton, Geoffrey},
  booktitle={International conference on machine learning},
  pages={1597--1607},
  year={2020},
  organization={PMLR}
}


@article{chen2020improved,
  title={Improved baselines with momentum contrastive learning},
  author={Chen, Xinlei and Fan, Haoqi and Girshick, Ross and He, Kaiming},
  journal={arXiv preprint arXiv:2003.04297},
  year={2020}
}

@article{caron2020unsupervised,
  title={Unsupervised learning of visual features by contrasting cluster assignments},
  author={Caron, Mathilde and Misra, Ishan and Mairal, Julien and Goyal, Priya and Bojanowski, Piotr and Joulin, Armand},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={9912--9924},
  year={2020}
}

@inproceedings{chen2021exploring,
  title={Exploring simple siamese representation learning},
  author={Chen, Xinlei and He, Kaiming},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={15750--15758},
  year={2021}
}

@article{grill2020bootstrap,
  title={Bootstrap your own latent-a new approach to self-supervised learning},
  author={Grill, Jean-Bastien and Strub, Florian and Altch{\'e}, Florent and Tallec, Corentin and Richemond, Pierre and Buchatskaya, Elena and Doersch, Carl and Avila Pires, Bernardo and Guo, Zhaohan and Gheshlaghi Azar, Mohammad and others},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={21271--21284},
  year={2020}
}


@inproceedings{caron2018deep,
  title={Deep clustering for unsupervised learning of visual features},
  author={Caron, Mathilde and Bojanowski, Piotr and Joulin, Armand and Douze, Matthijs},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={132--149},
  year={2018}
}


@inproceedings{crawford2019spatially,
  title={Spatially invariant unsupervised object detection with convolutional neural networks},
  author={Crawford, Eric and Pineau, Joelle},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  number={01},
  pages={3412--3420},
  year={2019}
}

@inproceedings{moriya2018unsupervised,
  title={Unsupervised segmentation of 3D medical images based on clustering and deep representation learning},
  author={Moriya, Takayasu and Roth, Holger R and Nakamura, Shota and Oda, Hirohisa and Nagara, Kai and Oda, Masahiro and Mori, Kensaku},
  booktitle={Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging},
  volume={10578},
  pages={1057820},
  year={2018},
  organization={International Society for Optics and Photonics}
}


@inproceedings{spurr2021self,
  title={Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning},
  author={Spurr, Adrian and Dahiya, Aneesh and Wang, Xi and Zhang, Xucong and Hilliges, Otmar},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={11230--11239},
  year={2021}
}

@inproceedings{tian2020contrastive,
  title={Contrastive multiview coding},
  author={Tian, Yonglong and Krishnan, Dilip and Isola, Phillip},
  booktitle={European conference on computer vision},
  pages={776--794},
  year={2020},
  organization={Springer}
}


@inproceedings{yu2020unsupervised,
  title={Unsupervised representation learning for gaze estimation},
  author={Yu, Yu and Odobez, Jean-Marc},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7314--7324},
  year={2020}
}


@inproceedings{sun2021cross,
  title={Cross-encoder for unsupervised gaze representation learning},
  author={Sun, Yunjia and Zeng, Jiabei and Shan, Shiguang and Chen, Xilin},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={3702--3711},
  year={2021}
}

@article{mahmud2021gaze,
  title={Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning},
  author={Mahmud, Zunayed and Hungler, Paul and Etemad, Ali},
  journal={arXiv preprint arXiv:2112.07878},
  year={2021}
}

@article{lee2021detection,
  title={Detection of Abnormal Behavior with Self-Supervised Gaze Estimation},
  author={Lee, Seong-Whan and others},
  journal={arXiv preprint arXiv:2107.06530},
  year={2021}
}


@inproceedings{smith2013gaze,
  title={Gaze locking: passive eye contact detection for human-object interaction},
  author={Smith, Brian A and Yin, Qi and Feiner, Steven K and Nayar, Shree K},
  booktitle={Proceedings of the 26th annual ACM symposium on User interface software and technology},
  pages={271--280},
  year={2013}
}

@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{loshchilov2016sgdr,
  title={Sgdr: Stochastic gradient descent with warm restarts},
  author={Loshchilov, Ilya and Hutter, Frank},
  journal={arXiv preprint arXiv:1608.03983},
  year={2016}
}

@inproceedings{huang2017densely,
  title={Densely connected convolutional networks},
  author={Huang, Gao and Liu, Zhuang and Van Der Maaten, Laurens and Weinberger, Kilian Q},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4700--4708},
  year={2017}
}

@inproceedings{zhang2018revisiting,
  title={Revisiting data normalization for appearance-based gaze estimation},
  author={Zhang, Xucong and Sugano, Yusuke and Bulling, Andreas},
  booktitle={Proceedings of the 2018 ACM symposium on eye tracking research \& applications},
  pages={1--9},
  year={2018}
}

@inproceedings{sugano2014learning,
  title={Learning-by-synthesis for appearance-based 3d gaze estimation},
  author={Sugano, Yusuke and Matsushita, Yasuyuki and Sato, Yoichi},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1821--1828},
  year={2014}
}

@article{chung2014empirical,
  title={Empirical evaluation of gated recurrent neural networks on sequence modeling},
  author={Chung, Junyoung and Gulcehre, Caglar and Cho, KyungHyun and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1412.3555},
  year={2014}
}

@inproceedings{zhang2020eth,
  title={Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation},
  author={Zhang, Xucong and Park, Seonwook and Beeler, Thabo and Bradley, Derek and Tang, Siyu and Hilliges, Otmar},
  booktitle={European Conference on Computer Vision},
  pages={365--381},
  year={2020},
  organization={Springer}
}

@misc{TobiiProLab,

  author = {{Tobii Pro AB}},

  title = {Tobii Pro Lab},

  url = {http://www.tobiipro.com/},

  howpublished = {Computer software},

  address = {Danderyd, Stockholm},

  type = {bibcomputersoftware},

  version = {1.145},

  year = {2014},
}

@article{ghosh2021automatic,
  title={Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches},
  author={Ghosh, Shreya and Dhall, Abhinav and Hayat, Munawar and Knibbe, Jarrod and Ji, Qiang},
  journal={arXiv preprint arXiv:2108.05479},
  year={2021}
}

@article{liu2021self,
  title={Self-supervised learning: Generative or contrastive},
  author={Liu, Xiao and Zhang, Fanjin and Hou, Zhenyu and Mian, Li and Wang, Zhaoyu and Zhang, Jing and Tang, Jie},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2021},
  publisher={IEEE}
}

@article{huang2017tabletgaze,
  title={TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets},
  author={Huang, Qiong and Veeraraghavan, Ashok and Sabharwal, Ashutosh},
  journal={Machine Vision and Applications},
  volume={28},
  number={5},
  pages={445--461},
  year={2017},
  publisher={Springer}
}

@inproceedings{fischer2018rt,
  title={Rt-gene: Real-time eye gaze estimation in natural environments},
  author={Fischer, Tobias and Chang, Hyung Jin and Demiris, Yiannis},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  pages={334--352},
  year={2018}
}

@inproceedings{funes2014eyediap,
  title={Eyediap: A database for the development and evaluation of gaze estimation algorithms from rgb and rgb-d cameras},
  author={Funes Mora, Kenneth Alberto and Monay, Florent and Odobez, Jean-Marc},
  booktitle={Proceedings of the symposium on eye tracking research and applications},
  pages={255--258},
  year={2014}
}


@inproceedings{tan2002appearance,
  title={Appearance-based eye gaze estimation},
  author={Tan, Kar-Han and Kriegman, David J and Ahuja, Narendra},
  booktitle={Sixth IEEE Workshop on Applications of Computer Vision, 2002.(WACV 2002). Proceedings.},
  pages={191--195},
  year={2002},
  organization={IEEE}
}

@article{hansen2009eye,
  title={In the eye of the beholder: A survey of models for eyes and gaze},
  author={Hansen, Dan Witzner and Ji, Qiang},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={32},
  number={3},
  pages={478--500},
  year={2009},
  publisher={IEEE}
}

@inproceedings{park2018learning,
  title={Learning to find eye region landmarks for remote gaze estimation in unconstrained settings},
  author={Park, Seonwook and Zhang, Xucong and Bulling, Andreas and Hilliges, Otmar},
  booktitle={Proceedings of the 2018 ACM symposium on eye tracking research \& applications},
  pages={1--10},
  year={2018}
}


 @inproceedings{krafka2016eye,
  title={Eye tracking for everyone},
  author={Krafka, Kyle and Khosla, Aditya and Kellnhofer, Petr and Kannan, Harini and Bhandarkar, Suchendra and Matusik, Wojciech and Torralba, Antonio},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2176--2184},
  year={2016}
}

@article{van2008visualizing,
  title={Visualizing data using t-SNE.},
  author={Van der Maaten, Laurens and Hinton, Geoffrey},
  journal={Journal of machine learning research},
  volume={9},
  number={11},
  year={2008}
}

@article{hansen2009eye,
  title={In the eye of the beholder: A survey of models for eyes and gaze},
  author={Hansen, Dan Witzner and Ji, Qiang},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={32},
  number={3},
  pages={478--500},
  year={2009},
  publisher={IEEE}
}

@inproceedings{chopra2005learning,
  title={Learning a similarity metric discriminatively, with application to face verification},
  author={Chopra, Sumit and Hadsell, Raia and LeCun, Yann},
  booktitle={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  volume={1},
  pages={539--546},
  year={2005},
  organization={IEEE}
}


@article{lloyd1982least,
  title={Least squares quantization in PCM},
  author={Lloyd, Stuart},
  journal={IEEE transactions on information theory},
  volume={28},
  number={2},
  pages={129--137},
  year={1982},
  publisher={IEEE}
}

@article{ulyanov2016instance,
  title={Instance normalization: The missing ingredient for fast stylization},
  author={Ulyanov, Dmitry and Vedaldi, Andrea and Lempitsky, Victor},
  journal={arXiv preprint arXiv:1607.08022},
  year={2016}
}



@article{zheng2020self,
  title={Self-learning transformations for improving gaze and head redirection},
  author={Zheng, Yufeng and Park, Seonwook and Zhang, Xucong and De Mello, Shalini and Hilliges, Otmar},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={13127--13138},
  year={2020}
}

@inproceedings{wang2022contrastive,
  title={Contrastive Regression for Domain Adaptation on Gaze Estimation},
  author={Wang, Yaoming and Jiang, Yangzhou and Li, Jin and Ni, Bingbing and Dai, Wenrui and Li, Chenglin and Xiong, Hongkai and Li, Teng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={19376--19385},
  year={2022}
}


@inproceedings{bao2022generalizing,
  title={Generalizing Gaze Estimation With Rotation Consistency},
  author={Bao, Yiwei and Liu, Yunfei and Wang, Haofei and Lu, Feng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4207--4216},
  year={2022}
}

@inproceedings{gideon2022unsupervised,
  title={Unsupervised Multi-View Gaze Representation Learning},
  author={Gideon, John and Su, Shan and Stent, Simon},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5001--5009},
  year={2022}
}

@article{jindal2021cuda,
  title={CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection},
  author={Jindal, Swati and Wang, Xin Eric},
  journal={arXiv preprint arXiv:2106.10852},
  year={2021}
}


@inproceedings{
dangovski2022equivariant,
title={Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations},
author={Rumen Dangovski and Li Jing and Charlotte Loh and Seungwook Han and Akash Srivastava and Brian Cheung and Pulkit Agrawal and Marin Soljacic},
booktitle={International Conference on Learning Representations},
year={2022},
url={https://openreview.net/forum?id=gKLAAfiytI}
}
