Alban Flachot
PhD Student
Justus-Liebig Universität Gießen
FB 06 Psychologie und Sportwissenschaft
Alter Steinbacher Weg 38
35394 Gießen
Kurzinfo
Projektrelevante Veröffentlichungen
de Vries, J.P., Akbarinia, A., Flachot, A. & Gegenfurtner, K.R. (2022). Emergent color categorization in a neural network trained for object recognition. eLife, 11, e76472.
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de Vries, J.P., Flachot, A., Morimoto, T. & Gegenfurtner, K.R. (2023). A deep new look at color. Behavioral and Brain Sciences46 (2023): e389
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Flachot, A., Akbarinia, A., Schütt, H. H., Fleming, R. W., Wichmann, F. A., & Gegenfurtner, K. R. (2022). Deep neural models for color classification and color constancy. Journal of Vision, 22(4), 17-17. find paper
Flachot, A., Akbarinia, A., Schütt, H.H., Fleming, R.W., Wichmann, F.A. & Gegenfurtner, K.R. (2022). Deep neural models for color discrimination and color constancy. Journal of Vision, 22(4), 17-17. find paper
Ältere projektrelevante Veröffentlichungen
Flachot, A., & Gegenfurtner, K. R. (2018). Processing of chromatic information in a deep convolutional neural network. JOSA A, 35(4), B334-B346. find paper
Flachot, A., & Gegenfurtner, K. R. (2021). Color for object recognition: Hue and chroma sensitivity in the deep features of convolutional neural networks. Vision Research, 182(1), 89-100.
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Flachot, A., Akbarinia, A., Schütt, H. H., Fleming, R. W., Wichmann, F. A., & Gegenfurtner, K. R. (2020). Deep Neural Models for color discrimination and color constancy. arXiv preprint arXiv:2012.14402.
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