In: Proceedings of the European Conference on Computer Vision (ECCV), pp. Xiao, T., Liu, Y., Zhou, B., Jiang, Y., Sun, J.: Unified perceptual parsing for scene understanding. IEEE, Piscataway, NJ (2017)Ĭhen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder–decoder with Atrous separable convolution for semantic image segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. Zhao, H., Shi, J., Qi, X., Wang, X., Jia, J.: Pyramid scene parsing network. Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. Association for Computing Machinery, New York, NY (2020) In: ACM Symposium on Applied Perception 2020, pp. Nair, N., Kothari, R., Chaudhary, A.K., Yang, Z., Diaz, G.J., Pelz, J.B., Bailey, R.J.: Rit-eyes: Rendering of near-eye images for eye-tracking applications. Garbin, S.J., Shen, Y., Schuetz, I., Cavin, R., Hughes, G., Talathi, S.S.: Openeds: Open eye dataset (2019) arXiv:1905.03702 IEEE, Piscataway, NJ (2020)Ĭreswell, A., White, T., Dumoulin, V., Arulkumaran, K., Sengupta, B., Bharath, A.A.: Generative adversarial networks: an overview. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. Luo, B., Shen, J., Cheng, S., Wang, Y., Pantic, M.: Shape constrained network for eye segmentation in the wild. Kothari, R.S., Chaudhary, A.K., Bailey, R.J., Pelz, J.B., Diaz, G.J.: Ellseg: an ellipse segmentation framework for robust gaze tracking. Methods 324, 108307 (2019)įuhl, W., Santini, T., Kasneci, G., Kasneci, E.: Pupilnet: Convolutional neural networks for robust pupil detection (2016) arXiv:1601.04902 Yiu, Y.-H., Aboulatta, M., Raiser, T., Ophey, L., Flanagin, V.L., Zu Eulenburg, P., Ahmadi, S.-A.: DeepVOG: open-source pupil segmentation and gaze estimation in neuroscience using deep learning. PLOS ONE 16(12), 0260236 (2021)įerhat, O., Vilariño, F.: Low cost eye tracking: The current panorama. Torres, D., Sena, W.R., Carmona, H.A., Moreira, A.A., Makse, H.A., Andrade, J.S., Jr.: Eye-tracking as a proxy for coherence and complexity of texts. In: 2020 IEEE International Symposium on Multimedia (ISM), pp. Hofbauer, M., Kuhn, C.B., Püttner, L., Petrovic, G., Steinbach, E.: Measuring driver situation awareness using region-of-interest prediction and eye tracking. 11(3), 479–486 (2017)Īl-Azawai, M.: The application of eye-tracking in consumer behaviour. Neuroimaging 6(8), 765–766 (2021)Īmamra, A.: Smooth head tracking for virtual reality applications. Kennedy, D.P.: Illuminating autism spectrum disorder with eye tracking.
0 Comments
Leave a Reply. |