Ahmed Elgammal
26 papers · 2013–2024 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (54) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Grand Slam
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Keyword Champion
(3)
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Keyword Pioneer
π€
Dynamic Duo
(10)
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Unstoppable Β· Silver
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Conference Pioneer
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Keyword Collector
(123)
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Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(21)
Deep Learning
(17)
Computer Vision
(16)
Learning Types Β· Machine Learning
(16)
Core Methods
(11)
Analysis
(9)
Learning Types Β· Deep Learning
(9)
Artificial Intelligence
(8)
Models
(8)
Generation
(5)
Application Areas
(4)
Architectures
(4)
Core AI
(4)
Learning Paradigms
(4)
Processing
(2)
Keywords
zero-shot learning
(6)
generative adversarial network
(6)
convolutional neural network
(4)
image generation
(4)
object recognition
(3)
object detection
(3)
visual relationship
(3)
relationship detection
(2)
visual relationship detection
(2)
manifold learning
(2)
text description
(2)
domain adaptation
(2)
representation learning
(2)
semantic embedding
(2)
visual classifier
(2)
self-supervised learning
(2)
generative model
(2)
computer vision
(1)
feature extraction
(1)
pose estimation
(1)
Papers
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
ECCV 2024
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators
WACV 2024
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models
AAAI 2022
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
AAAI 2022
Self-Supervised Sketch-to-Image Synthesis
AAAI 2021
TIME: Text and Image Mutual-Translation Adversarial Networks
AAAI 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
ICLR 2021
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
AAAI 2020
Graphical Contrastive Losses for Scene Graph Parsing
CVPR 2019
Large-Scale Visual Relationship Understanding
AAAI 2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
ICCV 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
NeurIPS 2019
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts
CVPR 2018
Disconnected Manifold Learning for Generative Adversarial Networks
NeurIPS 2018
A Multilayer-Based Framework for Online Background Subtraction With Freely Moving Cameras
ICCV 2017
Link the Head to the "Beak": Zero Shot Learning From Noisy Text Description at Part Precision
CVPR 2017
Relationship Proposal Networks
CVPR 2017
A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation
ICML 2016
Incorporating Prototype Theory in Convolutional Neural Networks
IJCAI 2016
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
CVPR 2016
Learning Hypergraph-Regularized Attribute Predictors
CVPR 2015
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction
CVPR 2014
MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification
CVPR 2013
Object-Centric Anomaly Detection by Attribute-Based Reasoning
CVPR 2013
Online Motion Segmentation Using Dynamic Label Propagation
ICCV 2013
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions
ICCV 2013