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


Jan 12, 2021
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

* ICLR-2021 

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Self-Supervised Sketch-to-Image Synthesis


Dec 22, 2020
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

* AAAI-2021 

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Spatial Frequency Bias in Convolutional Generative Adversarial Networks


Oct 04, 2020
Mahyar Khayatkhoei, Ahmed Elgammal


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TIME: Text and Image Mutual-Translation Adversarial Networks


May 27, 2020
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal


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


Mar 03, 2020
Bingchen Liu, Kunpeng Song, Ahmed Elgammal

* 24 pages 

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2nd Place Solution to the GQA Challenge 2019


Aug 16, 2019
Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas


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


May 26, 2019
Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal

* under review 

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


Apr 22, 2019
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

* under review 

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Graphical Contrastive Losses for Scene Graph Generation


Mar 28, 2019
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro


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


Mar 01, 2019
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

* under review 

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An Interpretable Model for Scene Graph Generation


Nov 21, 2018
Ji Zhang, Kevin Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal

* arXiv admin note: substantial text overlap with arXiv:1811.00662 

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


Nov 01, 2018
Ji Zhang, Kevin Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal


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Disconnected Manifold Learning for Generative Adversarial Networks


Oct 30, 2018
Mahyar Khayatkhoei, Ahmed Elgammal, Maneesh Singh

* To be published as a conference paper at NIPS, 2018. Some arguments/definitions are modified to avoid misconceptions (no changes in main arguments). More results and experiments are included. Bias in computing FID score is corrected 

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Large-Scale Visual Relationship Understanding


Sep 14, 2018
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny


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A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts


May 19, 2018
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal

* To appear in CVPR18 

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The Shape of Art History in the Eyes of the Machine


Feb 12, 2018
Ahmed Elgammal, Marian Mazzone, Bingchen Liu, Diana Kim, Mohamed Elhoseiny


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


Nov 08, 2017
Ahmed Elgammal, Yan Kang, Milko Den Leeuw


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


Sep 04, 2017
Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed Elgammal

* Accepted by CVPR'17 

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


Sep 04, 2017
Yizhe Zhu, Ahmed Elgammal

* Accepted by ICCV'17 

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


Jun 21, 2017
Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone

* This paper is an extended version of a paper published on the eighth International Conference on Computational Creativity (ICCC), held in Atlanta, GA, June 20th-June 22nd, 2017 

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DISCOMAX: A Proximity-Preserving Distance Correlation Maximization Algorithm


Feb 17, 2017
Praneeth Vepakomma, Ahmed Elgammal

* Withdrawing as an updated and enhanced version of this paper is on arxiv under my name as well titled Supervised Dimensionality Reduction via Distance Correlation Maximization. See arXiv:1601.00236. That makes this version pointless 

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Overlapping Cover Local Regression Machines


Jan 05, 2017
Mohamed Elhoseiny, Ahmed Elgammal

* Long Article with more experiments and analysis of conference paper "Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines", presented orally 2015 at the British Machine Vision Conference 2015 (BMVC) 

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Write a Classifier: Predicting Visual Classifiers from Unstructured Text


Dec 28, 2016
Mohamed Elhoseiny, Ahmed Elgammal, Babak Saleh

* (TPAMI) Transactions on Pattern Analysis and Machine Intelligence 2017 

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Modelling depth for nonparametric foreground segmentation using RGBD devices


Sep 29, 2016
Gabriel Moyà-Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó, Javier Varona

* Accepted in Pattern Recognition Letters. Will update the info 

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Digging Deep into the layers of CNNs: In Search of How CNNs Achieve View Invariance


Jun 20, 2016
Amr Bakry, Mohamed Elhoseiny, Tarek El-Gaaly, Ahmed Elgammal

* This paper accepted in ICLR 2016 main conference 

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Convolutional Models for Joint Object Categorization and Pose Estimation


Apr 19, 2016
Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed Elgammal

* only for workshop presentation at ICLR 

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Automatic Annotation of Structured Facts in Images


Apr 08, 2016
Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian Price, Ahmed Elgammal


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