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Results: 10
Number of items: 10
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Lou, Z., Alnajar, F., Alvarez, J. M., Hu, N., & Gevers, T. (2018). Expression-invariant Age Estimation Using Structured Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(2), 365-375. https://doi.org/10.1109/TPAMI.2017.2679739
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Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2017). Auto-Calibrated Gaze Estimation Using Human Gaze Patterns. International Journal of Computer Vision, 124(2), 223-236. https://doi.org/10.1007/s11263-017-1014-x -
Alnajar, F., Gevers, T., & Karaoglu, S. (2015). Age estimation under changes in image quality: An experimental study. In 2015 IEEE International Conference on Image Processing: ICIP 2015: proceedings: 27-30 September 2015, Québec City, Canada (pp. 3987-3991). IEEE. https://doi.org/10.1109/ICIP.2015.7351554
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Dibeklioğlu, H., Alnajar, F., Salah, A. A., & Gevers, T. (2015). Combining Facial Dynamics With Appearance for Age Estimation. IEEE Transactions on Image Processing, 24(6), 1928-1943. https://doi.org/10.1109/TIP.2015.2412377
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Alnajar, F., Lou, Z., Alvarez, J., & Gevers, T. (2014). Expression-Invariant Age Estimation. In M. Valstar, A. French, & T. Pridmore (Eds.), Proceedings of the British Machine Vision Conference 2014 (pp. 14.1-14.11). BMVA Press. https://doi.org/10.5244/C.28.14 -
Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2013). Calibration-Free Gaze Estimation Using Human Gaze Patterns. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 137-144). IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.24
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Alnajar, F., Shan, C., Gevers, T., & Geusebroek, J. M. (2012). Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions. Image and Vision Computing, 30(12), 946-953. https://doi.org/10.1016/j.imavis.2012.07.009
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Alnajar, F., Nijhuis, H., & Visser, A. (2010). Coordinated action in a heterogeneous rescue team. In J. Baltes, M. G. Lagoudakis, T. Naruse, & S. Shiry Ghidary (Eds.), RoboCup 2009: Robot Soccer World Cup XIII (pp. 1-10). (Lecture Notes in Computer Science; Vol. 5949), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-11876-0_1 -
Visser, A., Maillette de Buij Wenniger, G. E., Nijhuis, H., Alnajar, F., Huijten, B., van der Velden, M., Josemans, W., Terwijn, B., Walraven, C., Nguyen, Q., Sobolewski, R., Flynn, H., Jankowska, M., & de Hoog, J. (2009). Amsterdam Oxford Joint Rescue Forces: Team description paper: Virtual Robot competition: Rescue Simulation League: RoboCup 2009. In Proceedings CD of the 13th RoboCup Symposium (RoboCup 2009) http://www.science.uva.nl/research/isla/pub/Visser09tdp.pdf
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