Pinar Duygulu

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Bilkent University ∙ Hacettepe University

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Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos

In many real-world problems, there is typically a large discrepancy betw...
09/16/2020 ∙ by Yunus Can Bilge, et al. ∙ 0 ∙ share

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A Deep Dive into Adversarial Robustness in Zero-Shot Learning

Machine learning (ML) systems have introduced significant advances in va...
08/17/2020 ∙ by Mehmet Kerim Yucel, et al. ∙ 0 ∙ share

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GANILLA: Generative Adversarial Networks for Image to Illustration Translation

In this paper, we explore illustrations in children's books as a new dom...
02/13/2020 ∙ by Samet Hicsonmez, et al. ∙ 0 ∙ share

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Wildest Faces: Face Detection and Recognition in Violent Settings

With the introduction of large-scale datasets and deep learning models c...
05/19/2018 ∙ by Mehmet Kerim Yucel, et al. ∙ 0 ∙ share

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DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books

This paper is motivated from a young boy's capability to recognize an il...
04/10/2017 ∙ by Samet Hicsonmez, et al. ∙ 0 ∙ share

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FAME: Face Association through Model Evolution

We attack the problem of learning face models for public faces from weak...
07/10/2014 ∙ by Eren Golge, et al. ∙ 0 ∙ share

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Classifying Fonts and Calligraphy Styles Using Complex Wavelet Transform

Recognizing fonts has become an important task in document analysis, due...
07/09/2014 ∙ by Alican Bozkurt, et al. ∙ 0 ∙ share

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ConceptVision: A Flexible Scene Classification Framework

We introduce ConceptVision, a method that aims for high accuracy in cate...
01/03/2014 ∙ by Ahmet Iscen, et al. ∙ 0 ∙ share

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What is usual in unusual videos? Trajectory snippet histograms for discovering unusualness

Unusual events are important as being possible indicators of undesired c...
01/03/2014 ∙ by Ahmet Iscen, et al. ∙ 0 ∙ share

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Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images

We attack the problem of learning concepts automatically from noisy web ...
12/16/2013 ∙ by Eren Golge, et al. ∙ 0 ∙ share

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