Ahmed Elgammal

research

∙ 01/05/2022

Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models

We present a machine learning system that can quantify fine art painting...

Diana Kim, et al. ∙

research

∙ 01/12/2021

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Training Generative Adversarial Networks (GAN) on high-fidelity images u...

Bingchen Liu, et al. ∙

research

∙ 12/16/2020

Self-Supervised Sketch-to-Image Synthesis

Imagining a colored realistic image from an arbitrarily drawn sketch is ...

Bingchen Liu, et al. ∙

research

∙ 10/04/2020

Spatial Frequency Bias in Convolutional Generative Adversarial Networks

As the success of Generative Adversarial Networks (GANs) on natural imag...

Mahyar Khayatkhoei, et al. ∙

research

∙ 05/27/2020

TIME: Text and Image Mutual-Translation Adversarial Networks

Focusing on text-to-image (T2I) generation, we propose Text and Image Mu...

Bingchen Liu, et al. ∙

research

∙ 02/26/2020

Sketch-to-Art: Synthesizing Stylized Art Images From Sketches

We propose a new approach for synthesizing fully detailed art-stylized i...

Bingchen Liu, et al. ∙

research

∙ 07/16/2019

2nd Place Solution to the GQA Challenge 2019

We present a simple method that achieves unexpectedly superior performan...

Shijie Geng, et al. ∙

research

∙ 05/26/2019

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization

Exploring the potential of GANs for unsupervised disentanglement learnin...

Bingchen Liu, et al. ∙

research

∙ 04/22/2019

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning

We investigate learning feature-to-feature translator networks by altern...

Yizhe Zhu, et al. ∙

research

∙ 03/07/2019

Graphical Contrastive Losses for Scene Graph Generation

Most scene graph generators use a two-stage pipeline to detect visual re...

Ji Zhang, et al. ∙

research

∙ 03/01/2019

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning

Zero-shot learning extends the conventional object classification to the...

Yizhe Zhu, et al. ∙

research

∙ 11/21/2018

An Interpretable Model for Scene Graph Generation

We propose an efficient and interpretable scene graph generator. We cons...

Ji Zhang, et al. ∙

research

∙ 11/01/2018

Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge

This article describes the model we built that achieved 1st place in the...

Ji Zhang, et al. ∙

research

∙ 06/03/2018

Disconnected Manifold Learning for Generative Adversarial Networks

Real images often lie on a union of disjoint manifolds rather than one g...

Mahyar Khayatkhoei, et al. ∙

research

∙ 04/27/2018

Large-Scale Visual Relationship Understanding

Large scale visual understanding is challenging, as it requires a model ...

Ji Zhang, et al. ∙

research

∙ 01/23/2018

The Shape of Art History in the Eyes of the Machine

How does the machine classify styles in art? And how does it relate to a...

Ahmed Elgammal, et al. ∙

research

∙ 12/04/2017

Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts

Most existing zero-shot learning methods consider the problem as a visua...

Yizhe Zhu, et al. ∙

research

∙ 11/08/2017

Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication

This paper proposes a computational approach for analysis of strokes in ...

Ahmed Elgammal, et al. ∙

research

∙ 09/04/2017

Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision

In this paper, we study learning visual classifiers from unstructured te...

Mohamed Elhoseiny, et al. ∙

research

∙ 09/04/2017

A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras

The exponentially increasing use of moving platforms for video capture i...

Yizhe Zhu, et al. ∙

research

∙ 06/21/2017

CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms

We propose a new system for generating art. The system generates art by ...

Ahmed Elgammal, et al. ∙

research

∙ 01/05/2017

Overlapping Cover Local Regression Machines

We present the Overlapping Domain Cover (ODC) notion for kernel machines...

Mohamed Elhoseiny, et al. ∙

research

∙ 09/29/2016

Modelling depth for nonparametric foreground segmentation using RGBD devices

The problem of detecting changes in a scene and segmenting the foregroun...

Gabriel Moyà-Alcover, et al. ∙

research

∙ 04/02/2016

Automatic Annotation of Structured Facts in Images

Motivated by the application of fact-level image understanding, we prese...

Mohamed Elhoseiny, et al. ∙

research

∙ 02/09/2016

The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks

Deep artificial neural networks have made remarkable progress in differe...

Babak Saleh, et al. ∙

research

∙ 01/22/2016

Manifold-Kernels Comparison in MKPLS for Visual Speech Recognition

Speech recognition is a challenging problem. Due to the acoustic limitat...

Amr Bakry, et al. ∙

research

∙ 01/07/2016

Learning Kernels for Structured Prediction using Polynomial Kernel Transformations

Learning the kernel functions used in kernel methods has been a vastly e...

Chetan Tonde, et al. ∙

research

∙ 01/03/2016

Supervised Dimensionality Reduction via Distance Correlation Maximization

In our work, we propose a novel formulation for supervised dimensionalit...

Praneeth Vepakomma, et al. ∙

research

∙ 12/31/2015

Write a Classifier: Predicting Visual Classifiers from Unstructured Text

People typically learn through exposure to visual concepts associated wi...

Mohamed Elhoseiny, et al. ∙

research

∙ 12/04/2015

Toward a Taxonomy and Computational Models of Abnormalities in Images

The human visual system can spot an abnormal image, and reason about wha...

Babak Saleh, et al. ∙

research

∙ 12/02/2015

Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos

We propose a new zero-shot Event Detection method by Multi-modal Distrib...

Mohamed Elhoseiny, et al. ∙

research

∙ 11/16/2015

Convolutional Models for Joint Object Categorization and Pose Estimation

In the task of Object Recognition, there exists a dichotomy between the ...

Mohamed Elhoseiny, et al. ∙

research

∙ 11/16/2015

Sherlock: Scalable Fact Learning in Images

We study scalable and uniform understanding of facts in images. Existing...

Mohamed Elhoseiny, et al. ∙

research

∙ 06/29/2015

Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions

In this paper we propose a framework for predicting kernelized classifie...

Mohamed Elhoseiny, et al. ∙

research

∙ 06/02/2015

Quantifying Creativity in Art Networks

Can we develop a computer algorithm that assesses the creativity of a pa...

Ahmed Elgammal, et al. ∙

research

∙ 05/05/2015

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

In the past few years, the number of fine-art collections that are digit...

Babak Saleh, et al. ∙

research

∙ 03/23/2015

Factorization of View-Object Manifolds for Joint Object Recognition and Pose Estimation

Due to large variations in shape, appearance, and viewing conditions, ob...

Haopeng Zhang, et al. ∙

research

∙ 03/19/2015

Learning Hypergraph-regularized Attribute Predictors

We present a novel attribute learning framework named Hypergraph-based A...

Sheng Huang, et al. ∙

research

∙ 11/09/2014

Abnormal Object Recognition: A Comprehensive Study

When describing images, humans tend not to talk about the obvious, but r...

Babak Saleh, et al. ∙

research

∙ 10/24/2014

On The Effect of Hyperedge Weights On Hypergraph Learning

Hypergraph is a powerful representation in several computer vision, mach...

Sheng Huang, et al. ∙

research

∙ 09/30/2014

Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science

In part one of the Critique of Judgment, Immanuel Kant wrote that "the j...

Emily L. Spratt, et al. ∙

research

∙ 09/26/2014

Generalized Twin Gaussian Processes using Sharma-Mittal Divergence

There has been a growing interest in mutual information measures due to ...

Mohamed Elhoseiny, et al. ∙

research

∙ 08/14/2014

Toward Automated Discovery of Artistic Influence

Considering the huge amount of art pieces that exist, there is valuable ...

Babak Saleh, et al. ∙

research

∙ 12/28/2013

Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition

We present a novel Discriminant Locality Preserving Projections (DLPP) a...

Sheng Huang, et al. ∙

research

∙ 09/16/2013

Visual-Semantic Scene Understanding by Sharing Labels in a Context Network

We consider the problem of naming objects in complex, natural scenes con...

Ishani Chakraborty, et al. ∙

research

∙ 06/11/2013

DISCOMAX: A Proximity-Preserving Distance Correlation Maximization Algorithm

In a regression setting we propose algorithms that reduce the dimensiona...

Praneeth Vepakomma, et al. ∙

research

∙ 07/13/2011

Learning Hypergraph Labeling for Feature Matching

This study poses the feature correspondence problem as a hypergraph node...

Toufiq Parag, et al. ∙

Ahmed Elgammal

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