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With the emergence of Virtual and Mixed Reality (XR) devices, eye tracking has received significant attention in the computer vision community.
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Hennessey, C., Noureddin, B., Lawrence, P.: A single camera eye-gaze tracking system with free head motion. In: Proceedings of the 2006 symposium on Eye tracking research & applications. pp. 87–94. ACM (2006)
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Świrski, L., Bulling, A., Dodgson, N.: Robust real-time pupil tracking in highly off-axis images. In: Proceedings of the Symposium on Eye Tracking Research and Applications. pp. 173–176. ACM (2012)
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Smith, B., Yin, Q., Feiner, S., Nayar, S.: Gaze Locking: Passive Eye Contact Detection for Human?Object Interaction. In: ACM Symposium on User Interface Software and Technology (UIST). pp. 271–280 (Oct 2013)
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Świrski, L., Dodgson, N.A.: A fully-automatic, temporal approach to single camera, glint-free 3d eye model fitting [abstract]. In: Proceedings of ECEM 2013 (Aug 2013), http://www.cl.cam.ac.uk/research/rainbow/projects/eyemodelfit/
2013
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Funes Mora, K.A., Monay, F., Odobez, J.M.: Eyediap: A database for the development and evaluation of gaze estimation algorithms from rgb and rgb-d cameras. In: Proceedings of the ACM Symposium on Eye Tracking Research and Applications. ACM (Mar 2014). https://doi.org/10.1145/2578153.2578190
2014
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Sugano, Y., Matsushita, Y., Sato, Y.: Learning-by-synthesis for appearance-based 3d gaze estimation. In: CVPR. pp. 1821–1828 (2014)
2014
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Wood, E., Bulling, A.: Eyetab: Model-based gaze estimation on unmodified tablet computers. In: Proceedings of the Symposium on Eye Tracking Research and Applications. pp. 207–210. ACM (2014)
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Tobii is the world leader in eye tracking (Apr 2015), https://www.tobii.com/
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Borji, A., Itti, L.: Cat2000: A large scale fixation dataset for boosting saliency research. CVPR 2015 Workshop on ”Future of Datasets” (2015)
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2015
Badrinarayanan, V., Kendall, A., Cipolla, R.: Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE Transactions on Pattern Analysis & Machine Intelligence (12), 2481–2495 (2017)
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Tonsen, M., Steil, J., Sugano, Y., Bulling, A.: Invisibleeye: Mobile eye tracking using multiple low-resolution cameras and learning-based gaze estimation. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1
2017
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Zhang, X., Sugano, Y., Fritz, M., Bulling, A.: Mpiigaze: Real-world dataset and deep appearance-based gaze estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)
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Cited alongside, same era.
Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-assisted Intervention. pp. 234–241. Springer (2015)
2015
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Wood, E., Baltrusaitis, T., Zhang, X., Sugano, Y., Robinson, P., Bulling, A.: Rendering of eyes for eye-shape registration and gaze estimation. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 3756–3764 (2015)
2015
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Garg, R., BG, V.K., Carneiro, G., Reid, I.: Unsupervised cnn for single view depth estimation: Geometry to the rescue. In: ECCV. pp. 740–756. Springer (2016)
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Handa, A., Bloesch, M., Pătrăucean, V., Stent, S., McCormac, J., Davison, A.: gvnn: Neural network library for geometric computer vision. In: ECCV. pp. 67–82. Springer (2016)
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He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR. pp. 770–778 (2016)
2016
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Krafka, K., Khosla, A., Kellnhofer, P., Kannan, H., Bhandarkar, S., Matusik, W., Torralba, A.: Eye tracking for everyone. In: CVPR. pp. 2176–2184 (2016)
2016
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Tonsen, M., Zhang, X., Sugano, Y., Bulling, A.: Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments. In: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. pp. 139–142 (2016)
2016
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Zhou, T., Brown, M., Snavely, N., Lowe, D.G.: Unsupervised learning of depth and ego-motion from video. In: CVPR. vol. 2, p. 7 (2017)
2017
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2018
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Lanman, D.: Reactive displays: Unlocking next-generation vr/ar visuals with eye tracking (June 2018), https://www.youtube.com/watch?v=GbRvkS3GDsw
2018
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2018
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Papoutsaki, A., Gokaslan, A., Tompkin, J., He, Y., Huang, J.: The eye of the typer: a benchmark and analysis of gaze behavior during typing. In: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications. pp. 1–9 (2018)
2018
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Zhang, X., Huang, M.X., Sugano, Y., Bulling, A.: Training person-specific gaze estimators from user interactions with multiple devices. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. p. 624. ACM (2018)
2018
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2019
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Kim, J., Stengel, M., Majercik, A., De Mello, S., Dunn, D., Laine, S., McGuire, M., Luebke, D.: Nvgaze: An anatomically-informed dataset for low-latency, near-eye gaze estimation. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. p. 550. ACM (2019)
2019
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