74 citations · 171 across the 9 of their papers we have counts for
9 papers
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks
Babak Saleh, Ahmed Elgammal, Jacob Feldman
Deep artificial neural networks have made remarkable progress in different tasks in the field of computer vision. However, the empirical analysis of these models and investigation…
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Mohamed Elhoseiny, Ahmed Elgammal, Babak Saleh
People typically learn through exposure to visual concepts associated with linguistic descriptions. For instance, teaching visual object categories to children is often accompanied…
Toward a Taxonomy and Computational Models of Abnormalities in Images
Babak Saleh, Ahmed Elgammal, Jacob Feldman +1
The human visual system can spot an abnormal image, and reason about what makes it strange. This task has not received enough attention in computer vision. In this paper we study v…
Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions
Mohamed Elhoseiny, Ahmed Elgammal, Babak Saleh
In this paper we propose a framework for predicting kernelized classifiers in the visual domain for categories with no training images where the knowledge comes from textual descri…
Quantifying Creativity in Art Networks
Ahmed Elgammal, Babak Saleh
Can we develop a computer algorithm that assesses the creativity of a painting given its context within art history? This paper proposes a novel computational framework for assessi…
Learning Style Similarity for Searching Infographics
Babak Saleh, Mira Dontcheva, Aaron Hertzmann +1
Infographics are complex graphic designs integrating text, images, charts and sketches. Despite the increasing popularity of infographics and the rapid growth of online design port…
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh, Ahmed Elgammal
In the past few years, the number of fine-art collections that are digitized and publicly available has been growing rapidly. With the availability of such large collections of dig…
Abnormal Object Recognition: A Comprehensive Study
Babak Saleh, Ali Farhadi, Ahmed Elgammal
When describing images, humans tend not to talk about the obvious, but rather mention what they find interesting. We argue that abnormalities and deviations from typicalities are a…
Toward Automated Discovery of Artistic Influence
Babak Saleh, Kanako Abe, Ravneet Singh Arora +1
Considering the huge amount of art pieces that exist, there is valuable information to be discovered. Examining a painting, an expert can determine its style, genre, and the time p…