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Arash Akbarinia
Arash Akbarinia
Researcher at Justus Liebig University Giessen
Bestätigte E-Mail-Adresse bei psychol.uni-giessen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Dense extreme inception network for edge detection
X Soria, A Sappa, P Humanante, A Akbarinia
Pattern Recognition 139, 109461, 2023
1152023
Feedback and surround modulated boundary detection
A Akbarinia, CA Parraga
International Journal of Computer Vision 126 (12), 1367-1380, 2018
742018
Colour constancy beyond the classical receptive field
A Akbarinia, CA Parraga
IEEE transactions on pattern analysis and machine intelligence 40 (9), 2081-2094, 2017
612017
Color metamerism and the structure of illuminant space
A Akbarinia, KR Gegenfurtner
Josa A 35 (4), B231-B238, 2018
402018
NICE: A computational solution to close the gap from colour perception to colour categorization
CA Parraga, A Akbarinia
PloS one 11 (3), e0149538, 2016
352016
Multispectral Single-Sensor RGB-NIR Imaging: New Challenges and Opportunities
X Soria, AD Sappa, A Akbarinia
International Conference on Image Processing Theory, Tools and Applications …, 2017
342017
Deep neural models for color classification and color constancy
A Flachot, A Akbarinia, HH Schütt, RW Fleming, FA Wichmann, ...
Journal of Vision 22 (4), 17-17, 2022
262022
Deciphering image contrast in object classification deep networks
A Akbarinia, R Gil-Rodriguez
Vision Research 173, 61-76, 2020
182020
Biologically-inspired edge detection through surround modulation
A Akbarinia, CA Parraga
Proceedings of the British Machine Vision Conference (BMVC), 5.1-5.13, 2016
16*2016
Contrast Sensitivity Function in Deep Networks
A Akbarinia, Y Morgenstern, KR Gegenfurtner
Neural Networks 164, 228-244, 2023
152023
Emergent color categorization in a neural network trained for object recognition
JP de Vries, A Akbarinia, A Flachot, KR Gegenfurtner
Elife 11, e76472, 2022
122022
Color conversion in deep autoencoders
A Akbarinia, R Gil-Rodríguez
Color and Imaging Conference 29, 89-98, 2021
82021
Contrast Invariance in Deep Neural Networks
A Akbarinia, KR Gegenfurtner
Perception 47, 51-51, 2018
8*2018
Deep neural network model of haptic saliency
A Metzger, M Toscani, A Akbarinia, M Valsecchi, K Drewing
Scientific reports 11 (1), 1395, 2021
72021
Pedestrians egocentric vision: Individual and collective analysis
M Valsecchi, A Akbarinia, R Gil-Rodriguez, KR Gegenfurtner
ACM Symposium on eye tracking research and applications, 1-5, 2020
72020
Colour constancy as a product of dynamic centre-surround adaptation.
CA Parraga, A Akbarinia
Journal of Vision 16 (12), 214-214, 2016
62016
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar
A Akbarinia, KR Gegenfurtner
Iberian Conference on Perception, 7-8, 2019
52019
Metameric Mismatching in Natural and Artificial Reflectances
A Akbarinia, KR Gegenfurtner
Journal of Vision 17 (10), 391-391, 2017
52017
Manifestation of image contrast in deep networks
A Akbarinia, KR Gegenfurtner
arXiv preprint arXiv:1902.04378, 2019
42019
Colour constancy: Biologically-inspired contrast variant pooling mechanism
A Akbarinia, R Gil-Rodríguez, CA Parraga
Proceedings of the British Machine Vision Conference (BMVC), 77.1-77.13, 2017
42017
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