Ahmed Elgammal

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Rutgers University

Professor at Dept of Computer Science, Rutgers University. Director of the Art&AI Laboratory

TIME: Text and Image Mutual-Translation Adversarial Networks

Focusing on text-to-image (T2I) generation, we propose Text and Image Mu...
05/27/2020 ∙ by Bingchen Liu, et al. ∙ 10 ∙ share

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

We propose a new approach for synthesizing fully detailed art-stylized i...
02/26/2020 ∙ by Bingchen Liu, et al. ∙ 5 ∙ share

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2nd Place Solution to the GQA Challenge 2019

We present a simple method that achieves unexpectedly superior performan...
07/16/2019 ∙ by Shijie Geng, et al. ∙ 1 ∙ share

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

Exploring the potential of GANs for unsupervised disentanglement learnin...
05/26/2019 ∙ by Bingchen Liu, et al. ∙ 2 ∙ share

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

We investigate learning feature-to-feature translator networks by altern...
04/22/2019 ∙ by Yizhe Zhu, et al. ∙ 18 ∙ share

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Graphical Contrastive Losses for Scene Graph Generation

Most scene graph generators use a two-stage pipeline to detect visual re...
03/07/2019 ∙ by Ji Zhang, et al. ∙ 10 ∙ share

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

Zero-shot learning extends the conventional object classification to the...
03/01/2019 ∙ by Yizhe Zhu, et al. ∙ 6 ∙ share

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An Interpretable Model for Scene Graph Generation

We propose an efficient and interpretable scene graph generator. We cons...
11/21/2018 ∙ by Ji Zhang, et al. ∙ 0 ∙ share

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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...
11/01/2018 ∙ by Ji Zhang, et al. ∙ 16 ∙ share

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Disconnected Manifold Learning for Generative Adversarial Networks

Real images often lie on a union of disjoint manifolds rather than one g...
06/03/2018 ∙ by Mahyar Khayatkhoei, et al. ∙ 6 ∙ share

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Large-Scale Visual Relationship Understanding

Large scale visual understanding is challenging, as it requires a model ...
04/27/2018 ∙ by Ji Zhang, et al. ∙ 0 ∙ share

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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...
01/23/2018 ∙ by Ahmed Elgammal, et al. ∙ 0 ∙ share

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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...
12/04/2017 ∙ by Yizhe Zhu, et al. ∙ 0 ∙ share

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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 ...
11/08/2017 ∙ by Ahmed Elgammal, et al. ∙ 0 ∙ share

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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...
09/04/2017 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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

The exponentially increasing use of moving platforms for video capture i...
09/04/2017 ∙ by Yizhe Zhu, et al. ∙ 0 ∙ share

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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 ...
06/21/2017 ∙ by Ahmed Elgammal, et al. ∙ 0 ∙ share

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Overlapping Cover Local Regression Machines

We present the Overlapping Domain Cover (ODC) notion for kernel machines...
01/05/2017 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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Modelling depth for nonparametric foreground segmentation using RGBD devices

The problem of detecting changes in a scene and segmenting the foregroun...
09/29/2016 ∙ by Gabriel Moyà-Alcover, et al. ∙ 0 ∙ share

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Automatic Annotation of Structured Facts in Images

Motivated by the application of fact-level image understanding, we prese...
04/02/2016 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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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...
02/09/2016 ∙ by Babak Saleh, et al. ∙ 0 ∙ share

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Manifold-Kernels Comparison in MKPLS for Visual Speech Recognition

Speech recognition is a challenging problem. Due to the acoustic limitat...
01/22/2016 ∙ by Amr Bakry, et al. ∙ 0 ∙ share

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Learning Kernels for Structured Prediction using Polynomial Kernel Transformations

Learning the kernel functions used in kernel methods has been a vastly e...
01/07/2016 ∙ by Chetan Tonde, et al. ∙ 0 ∙ share

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Supervised Dimensionality Reduction via Distance Correlation Maximization

In our work, we propose a novel formulation for supervised dimensionalit...
01/03/2016 ∙ by Praneeth Vepakomma, et al. ∙ 0 ∙ share

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Write a Classifier: Predicting Visual Classifiers from Unstructured Text

People typically learn through exposure to visual concepts associated wi...
12/31/2015 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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Toward a Taxonomy and Computational Models of Abnormalities in Images

The human visual system can spot an abnormal image, and reason about wha...
12/04/2015 ∙ by Babak Saleh, et al. ∙ 0 ∙ share

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

We propose a new zero-shot Event Detection method by Multi-modal Distrib...
12/02/2015 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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Convolutional Models for Joint Object Categorization and Pose Estimation

In the task of Object Recognition, there exists a dichotomy between the ...
11/16/2015 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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Sherlock: Scalable Fact Learning in Images

We study scalable and uniform understanding of facts in images. Existing...
11/16/2015 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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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...
06/29/2015 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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Quantifying Creativity in Art Networks

Can we develop a computer algorithm that assesses the creativity of a pa...
06/02/2015 ∙ by Ahmed Elgammal, et al. ∙ 0 ∙ share

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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...
05/05/2015 ∙ by Babak Saleh, et al. ∙ 0 ∙ share

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

Due to large variations in shape, appearance, and viewing conditions, ob...
03/23/2015 ∙ by Haopeng Zhang, et al. ∙ 0 ∙ share

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Learning Hypergraph-regularized Attribute Predictors

We present a novel attribute learning framework named Hypergraph-based A...
03/19/2015 ∙ by Sheng Huang, et al. ∙ 0 ∙ share

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Abnormal Object Recognition: A Comprehensive Study

When describing images, humans tend not to talk about the obvious, but r...
11/09/2014 ∙ by Babak Saleh, et al. ∙ 0 ∙ share

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On The Effect of Hyperedge Weights On Hypergraph Learning

Hypergraph is a powerful representation in several computer vision, mach...
10/24/2014 ∙ by Sheng Huang, et al. ∙ 0 ∙ share

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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...
09/30/2014 ∙ by Emily L. Spratt, et al. ∙ 0 ∙ share

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Generalized Twin Gaussian Processes using Sharma-Mittal Divergence

There has been a growing interest in mutual information measures due to ...
09/26/2014 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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Toward Automated Discovery of Artistic Influence

Considering the huge amount of art pieces that exist, there is valuable ...
08/14/2014 ∙ by Babak Saleh, et al. ∙ 0 ∙ share

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Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition

We present a novel Discriminant Locality Preserving Projections (DLPP) a...
12/28/2013 ∙ by Sheng Huang, et al. ∙ 0 ∙ share

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

We consider the problem of naming objects in complex, natural scenes con...
09/16/2013 ∙ by Ishani Chakraborty, et al. ∙ 0 ∙ share

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DISCOMAX: A Proximity-Preserving Distance Correlation Maximization Algorithm

In a regression setting we propose algorithms that reduce the dimensiona...
06/11/2013 ∙ by Praneeth Vepakomma, et al. ∙ 0 ∙ share

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Learning Hypergraph Labeling for Feature Matching

This study poses the feature correspondence problem as a hypergraph node...
07/13/2011 ∙ by Toufiq Parag, et al. ∙ 1 ∙ share

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Ahmed Elgammal

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