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cs.CV2026

Learning visual representations for compositional analysis of artworks and photographs

Fatemeh Behrad, Tinne Tuytelaars, Johan Wagemans

Composition, the deliberate arrangement of visual elements, is central to how meaning, emotion, and aesthetic quality are conveyed in artwork, yet it remains among the least formal…

cs.CV2025

Charm: The Missing Piece in ViT fine-tuning for Image Aesthetic Assessment

Fatemeh Behrad, Tinne Tuytelaars, Johan Wagemans

The capacity of Vision transformers (ViTs) to handle variable-sized inputs is often constrained by computational complexity and batch processing limitations. Consequently, ViTs are…

cs.CV2024

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks

Yuyan Zhang, Derya Soydaner, Fatemeh Behrad +2

Deep neural networks perform well in object recognition, but do they perceive objects like humans? This study investigates the Gestalt principle of closure in convolutional neural…

cs.CV2024

BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment

Ombretta Strafforello, Gonzalo Muradas Odriozola, Fatemeh Behrad +4

Assessing the aesthetic quality of artistic images presents unique challenges due to the subjective nature of aesthetics and the complex visual characteristics inherent to artworks…

cs.CV2024

Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks

Yuyan Zhang, Derya Soydaner, Lisa Koßmann +2

The human brain has an inherent ability to fill in gaps to perceive figures as complete wholes, even when parts are missing or fragmented. This phenomenon is known as Closure in ps…