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Tayfun Ates
Tayfun Ates
Department of Computer Engineering MSc, Hacettepe University
Verified email at hacettepe.edu.tr
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Cited by
Cited by
Year
Performance analysis of state-of-the-art representation methods for geographical image retrieval and categorization
S Özkan, T Ateş, E Tola, M Soysal, E Esen
IEEE Geoscience and Remote Sensing Letters 11 (11), 1996-2000, 2014
742014
Craft: A benchmark for causal reasoning about forces and interactions
T Ates, MS Atesoglu, C Yigit, I Kesen, M Kobas, E Erdem, A Erdem, ...
arXiv preprint arXiv:2012.04293, 2020
252020
Synthetic18k: Learning better representations for person re-id and attribute recognition from 1.4 million synthetic images
OC Uner, C Aslan, B Ercan, T Ates, U Celikcan, A Erdem, E Erdem
Signal Processing: Image Communication 97, 116335, 2021
62021
Feature encoding models for geographic image retrieval and categorization
S Özkan, T Ateş, E Tola, M Soysal, E Esen
2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014
12014
Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon
T Ateş
Fen Bilimleri Enstitüsü, 2021
2021
Synthetic18K: Learning better representations for person re-ID and attribute recognition from 1.4 million synthetic images
C Aslan, B Ercan, T Ates, U Celikcan, A Erdem, E Erdem, OC Üner
Elsevier, 0
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Articles 1–6