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Gestalts Relate Aesthetic Preferences to Perceptual Analysis

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Publications

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks (opens in new window)

Author(s): Zhang, Yuyan; Soydaner, Derya; Behrad, Fatemeh; Koßmann, Lisa; Wagemans, Johan
Published in: ESANN 2024 proceedings, 2024
Publisher: ESANN 2024 proceedings (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning)
DOI: 10.14428/esann/2024.ES2024-111

Unveiling the factors of aesthetic preferences with explainable AI (opens in new window)

Author(s): Derya Soydaner; Johan Wagemans
Published in: British Journal of Psychology, 2024, ISSN 2044-8295
Publisher: British Psychological Society
DOI: 10.48550/arxiv.2311.14410

A toolbox for calculating quantitative image properties in aesthetics research (opens in new window)

Author(s): Christoph Redies, Ralf Bartho, Lisa Koßmann, Branka Spehar, Ronald Hübner, Johan Wagemans, Gregor U. Hayn-Leichsenring
Published in: Behavior Research Methods, Issue 57, 2025, ISSN 1554-3528
Publisher: Springer Science and Business Media LLC
DOI: 10.3758/S13428-025-02632-3

Beautification of images by generative adversarial networks (opens in new window)

Author(s): Amar Music; Anne-Sofie Maerten; Johan Wagemans
Published in: Journal of Vision, 2023, ISSN 1534-7362
Publisher: ARVO Journals
DOI: 10.1167/jov.23.10.14

Multi-Task Convolutional Neural Network for Image Aesthetic Assessment (opens in new window)

Author(s): Derya Soydaner; Johan Wagemans
Published in: IEEE Access, 2024, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ACCESS.2024.3349961

BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment (opens in new window)

Author(s): Ombretta Strafforello, Gonzalo Muradas Odriozola, Fatemeh Behrad, Li-Wei Chen, Anne-Sofie Maerten, Derya Soydaner, Johan Wagemans
Published in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024 Workshops, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-91572-7_6

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