Unsere Mitarbeiter*innen

Foto: Manuel Gutjahr

Pendar Alirezazadeh


Abteilung: Agromechatronik

Telefon: +49 (0)331 5699 908
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Mitarbeit in Programmbereichen


Machine/Deep Learning, Few-Shot Learning, Transformers, Neural Network Loss Functions, Self-attention Mechanism



Veröffentlichungen vor ATB-Zugehörigkeit

Alirezazadeh, P., Dornaika, F. and Moujahid, A., 2022. Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval. Sensors22(7), p.2660.

Proença, H., Yaghoubi, E. and Alirezazadeh, P., 2020. A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-Output Classification Problems. IEEE Transactions on Information Forensics and Security16, pp.800-811.

Alirezazadeh, P., Yaghoubi, E., Assunção, E., Neves, J.C. and Proença, H., 2019, September. Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment. In 2019 International Conference of the Biometrics Special Interest Group (BIOSIG) (pp. 1-5). IEEE.

Yaghoubi, E., Alirezazadeh, P., Assunção, E., Neves, J.C. and Proençaã, H., 2019, September. Region-based cnns for pedestrian gender recognition in visual surveillance environments. In 2019 International Conference of the Biometrics Special Interest Group (BIOSIG) (pp. 1-5). IEEE.

Alirezazadeh, P., Hejrati, B., Monsef-Esfahani, A. and Fathi, A., 2018. Representation learning-based unsupervised domain adaptation for classification of breast cancer histopathology images. Biocybernetics and Biomedical Engineering38(3), pp.671-683.

Alirezazadeh, P., Fathi, A. and Abdali-Mohammadi, F., 2016. Effect of purposeful feature extraction in high-dimensional kinship verification problem. Journal of Computing and Security3(3), pp.183-191.

Fathi, A., Alirezazadeh, P. and Abdali-Mohammadi, F., 2016. A new Global-Gabor-Zernike feature descriptor and its application to face recognition. Journal of Visual Communication and Image Representation38, pp.65-72.

Alirezazadeh, P., Fathi, A. and Abdali-Mohammadi, F., 2015. A genetic algorithm-based feature selection for kinship verification. IEEE Signal Processing Letters22(12), pp.2459-2463.