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F. Behrad

3 papers hereh-index 346 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

3 papers

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…

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