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M. Elhoseiny, Babak Saleh, Ahmed Elgammal:
Write a Classifier: Zero Shot Learning Using Purely Textual Descriptions
ICCV, 2013
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Y. Mohamed, Runjia Li, Ibrahim Said Ahmad, K. Haydarov, Philip Torr, Kenneth Church, M. Elhoseiny:
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
EMNLP, 2024
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Botos Csaba, W. Zhang, Matthias Müller, Ser-Nam Lim, M. Elhoseiny, Philip H.S. Torr, Adel Bibi:
Label Delay in Online Continual Learning
NeurIPS, 2024
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M. Ahmed, X. Li, Arpit Prajapati, M. Elhoseiny:
3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition, Datasets and Benchmarks
NeurIPS, 2024
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X. Li, J. Ding, M. Elhoseiny:
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
NeurIPS, 2024
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Kirolos Ataallah, X. Shen, E. Abdelrahman, Essam Sleiman, Mingchen Zhuge, J. Ding, D. Zhu, Jürgen Schmidhuber, M. Elhoseiny:
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
ECCV, 2024
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X. Shen, F. Farooq Khan, Abdelrahman Mohamed, M. Elhoseiny:
EmoTalker: Audio Driven Emotion Aware Talking Head Generation
ACCV, 2024
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Sanjoy Chowdhury, Sayan Nag, Subhrajyoti Dasgupta, J. Chen, M. Elhoseiny, Ruohan Gao, Dinesh Manocha:
Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time
ECCV, 2024
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K. Haydarov, X. Shen, Avinash Madasu, Mahmoud Salem, Li-Jia Li, Gamaleldin Elsayed, M. Elhoseiny:
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversation
ECCV, 2024
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X. Li, J. Ding, Zhaoyang Chen, M. Elhoseiny:
Uni3DL: A Unified Model for 3D Vision-Language Understanding
ECCV, 2024
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K. Haydarov, Aashiq Muhamed, X. Shen, Jovana Lazarevic, Ivan Skorokhodov, Chamuditha Jayanga Galappaththige, M. Elhoseiny:
Adversarial Text to Continuous Image Generation
CVPR, 2024
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H. Slim, M. Elhoseiny:
ShapeWalk: A Benchmark for Compositional Shape Editing through Language-Guided Chains
CVPR, 2024
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W. Zhang, Paul Janson, Rahaf Aljundi, M. Elhoseiny:
Overcoming Generic Knowledge Loss with Selective Parameter Update
CVPR, 2024
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D. Zhu, J. Chen, K. Haydarov, X. Shen, W. Zhang, M. Elhoseiny:
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
TMLR Journal, 2024
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Yuanpeng Li, Joel Hestness, M. Elhoseiny, Liang Zhao, Kenneth Church:
Efficiently Disentangle Causal Representations
CPAL, Proceedings of Machine Learning Research, 2024
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D. Zhu, J. Chen, X. Shen, X. Li, M. Elhoseiny:
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
ICLR, 2024
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E. Abdelrahman, L. Zhao, V. Tao Hu, M. Cord, P. Perez, M. Elhoseiny:
TODDLERDIFFUSION: INTERACTIVE STRUCTURED IMAGE GENERATION WITH CASCADED SCHRÖDINGER BRIDGE
ICLR, 2025
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E. Abdelrahman, Mohamed Ayman, M. Ahmed, H. Slim, M. Elhoseiny:
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
ICLR, 2024
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W. Zhang, Y. Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, M. Elhoseiny:
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
ICLR, 2024
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Salman Khan, Izzeddin Teeti, Andrew Bradley, M. Elhoseiny, Fabio Cuzzolin:
A Hybrid Graph Network for Complex Activity Detection in Video
WACV, 2024
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E. Abdelrahman, Pengzhan Sun, Li Erran Li, M. Elhoseiny:
ImageCaptioner^2: Image Captioner for Image Captioning Bias Amplification Assessment
AAAI, 2024
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W. Zhang, Paul Janson, K. Yi, I. Skorokhodov, M. Elhoseiny:
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
ICCV, 2023
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E. Abdelrahman, Pengzhan Sun, X. Shen, F. Khan, Li Erran Li, M. Elhoseiny:
HRS-Bench: Holistic, Reliable, and Scalable Benchmark for Text-to-Image Models
ICCV, 2023
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J. Chen, D. Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Culatana, M. Elhoseiny:
Exploring Open-Vocabulary Semantic Segmentation without Human Labels
ICCV, 2023
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F. Khan, X. Li, Andrew Temple, M. Elhoseiny:
FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Traits Prediction
ICCV, 2023
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Runjia Li, Shuyang Sun, M. Elhoseiny, Philip Torr:
Humourous Image Captions (HIC): A Humour-oriented Image-text Dataset
ICCV, 2023
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Hang Xu, W. Zhang, Jiawei Fei, Yuzhe Wu, TingWen Xie, Jun Huang, Yuchen Xie, M. Elhoseiny, Panos Kalnis:
SLAMB: Accelerated Large Batch Training with Sparse Communication
ICML, 2023
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Xinge Yang, Qiang Fu, M. Elhoseiny, Wolfgang Heidrich:
Aberration-Aware Depth-from-Focus
ICCP and TPAMI, 2023
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J. Chen, Ming Hu, Darren J Coker, Michael Berumen, Blair Roberts Costelloe, Sara Beery, Anna Rohrbach, M. Elhoseiny:
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
CVPR, 2023
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X. Shen, X. Li, M. Elhoseiny:
MoStGAN-V: Video Generation with Temporal Motion Styles
CVPR, 2023
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D. Zhu, Li Erran Li, M. Elhoseiny:
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
ICLR, 2023
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Y. Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Kenneth Church, Xiangliang Zhang, M. Elhoseiny:
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
EMNLP, 2022
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E. Abdelrahman, Yasmeen Youssef Alsaedy, M. Elhoseiny:
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding
NeurIPS, 2022
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Guocheng Qian, Y. Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, M. Elhoseiny, Bernard Ghanem:
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
NeurIPS, 2022
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Y. Li, H. Slim, Ujjwal Upadhyay, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, M. Elhoseiny:
3D CoMPaT: Composition of Materials on Parts of 3D Things
ECCV, 2022
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K. Yi, X. Shen, Yunhao Gou, M. Elhoseiny:
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
ECCV, 2022
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Abdullah Mohamed, D. Zhu, Warren Vu, M. Elhoseiny, Christian Claudel:
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
ECCV, 2022
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Y. Mohamed, F. Khan, K. Haydarov, M. Elhoseiny:
It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection
CVPR, 2022
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J. Chen, Han Guo, K. Yi, Boyang Li, M. Elhoseiny:
VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning
CVPR, 2022
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J. Chen, Aniket Agarwal, Sherif Abdelkarim, D. Zhu, M. Elhoseiny:
RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition
CVPR, 2022
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I. Skorokhodov, Sergey Tulyakov, M. Elhoseiny:
StyleGAN-V: A Continuous Video Generation with the Price, Image Quality and Perks of StyleGAN2
CVPR, 2022
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Divyansh Jha, K. Yi, I. Skorokhodov, M. Elhoseiny:
Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms
ICCC, 2022
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Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, M. Elhoseiny, Leonidas Guibas:
ReferIt3D: Neural Listeners for Fine-Grained Object Identification in Real World 3D Scenes
ECCV, 2020
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M. Elhoseiny, K. Yi, Mohamed Elfeki:
CIZSL++: Creativity Inspired Generative Zero-shot Learning
TPAMI, 2022
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I. Skorokhodov, Grigory Sotnikov, M. Elhoseiny:
Aligning Latent and Image Spaces to Connect the Unconnectable
ICCV, 2021
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Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas, J. Chen, Jiaji Huang, Boyang Li, Kenneth Church, M. Elhoseiny:
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
ICCV, 2021
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D. Zhu, Mohamed Zahran, Li Erran Li, M. Elhoseiny:
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents
ICLR, 2021
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Ahmed Ayyad, Y. Li, Raden Muaz, Shadi Albarqouni, M. Elhoseiny:
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
AAAI, Meta Learning workshop, 2021
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Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, M. Elhoseiny, Leonidas Guibas:
ReferIt3D: Neural Listeners for Fine-Grained Object Identification in Real World 3D Scenes
ECCV, 2020
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Yuanpeng Li, Liang Zhao, Ken Church, M. Elhoseiny:
Compositional Continual Language Learning
ICLR, 2020
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Abdullah Mohamed, Kun Qian, M. Elhoseiny, Christian Claudel:
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
CVPR, 2020
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Sayna Ebrahimi, M. Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks
ICLR, 2020
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M. Elhoseiny, Mohamed Elfeki:
Creativity Inspired Zero-Shot Learning
ICCV, 2019
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Mohamed Elfeki, Camille Couprie, M. Elhoseiny:
Learning Diverse Generations using Determinantal Point Processes
ICML, 2019
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Mennatullah Siam, Chen Jiang, Steven Lu, Laura Petrich, Mahmoud Gamal, M. Elhoseiny, Martin Jagersand:
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
ICRA, 2019
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Arslan Chaudhry, Marc’Aurelio Ranzato, Marcus Rohrbach, M. Elhoseiny:
Efficient Lifelong Learning with A-GEM
ICLR, 2019
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Ji Zhang, Yannis Khaladis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, M. Elhoseiny:
Large-Scale Visual Relationship Understanding
AAAI, 2019
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Ramprasaath Selvaraju, Prithvijit Chattopadhyay, M. Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee:
Choose your Neuron: Incorporating Domain Knowledge through Neuron Importance
ECCV, 2018
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Rahaf Aljundi, Francesca Babiloni, M. Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars:
Memory Aware Synapses: Learning what (not) to forget
ECCV, 2018
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Yizhe Zhu, M. Elhoseiny, Bingchen Liu, Ahmed Elgammal:
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
CVPR, 2018
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Othman Sbai, M. Elhoseiny, Camille Couprie, Antoine Bordes, Yann LeCun:
DesIGN: Design Inspiration from Generative Networks
ECCVW, 2018
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Ahmed Elgammal, Bingchen Liu, Diana Kim, M. Elhoseiny, Marian Mazzone:
The Shape of Art History in the Eyes of the Machine
AAAI, 2018
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M. Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars:
Exploring the Challenges towards Lifelong Fact Learning
ACCV, 2018
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M. Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed Elgammal:
Link the Head to the Peak: Zero Shot Learning from Noisy Text Descriptions at Part Precision
CVPR, 2017
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Ji Zhang, M. Elhoseiny, Walter Chang, Scott Cohen, Ahmed Elgammal:
Relationship Proposal Networks
CVPR, 2017
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M. Elhoseiny, Scott Cohen, Walter Chang, Brian Price, Ahmed Elgammal:
Sherlock: Scalable Fact Learning in Images
AAAI, 2017
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Ahmed Elgammal, Bingchen Liu, M. Elhoseiny, Marian Mazzone:
Creative Adversarial Networks: Generating Art by Learning About Styles and Deviating from Style Norms
ICCC, 2017
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M. Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed Elgammal:
A Comparative Analysis and Study of Multiview Convolutional Neural Network Models for Joint Object Categorization and Pose Estimation
ICML, 2016
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Amr Bakry, M. Elhoseiny, Tarek El-Gaaly, Ahmed Elgammal:
Digging Deep into the Layers of CNNs: In Search of How CNNs Achieve View Invariance
ICLR, 2016
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M. Elhoseiny, Jingen Liu, Hui Cheng, Harpreet Sawhney, Ahmed Elgammal:
Zero Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos
AAAI, 2016
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Han Zhang, Tao Xu, M. Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed Elgammal, Dimitris Metaxas:
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
CVPR, 2016
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M. Elhoseiny, Ahmed Elgammal:
Overlapping Domain Cover for Scalable and Accurate Kernel Regression Machines
BMVC, 2015
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Sheng Huang, M. Elhoseiny, Ahmed Elgammal:
Learning Hypergraph-Regularized Attribute Predictors
CVPR, 2015
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M. Elhoseiny, Ahmed Elgammal:
Generalized Twin Gaussian Processes Using Sharma-Mittal Divergence
ECML-PKDD, 2015
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M. Elhoseiny, Sheng Huang, Ahmed Elgammal:
Weather Classification with Deep Convolutional Neural Networks
ICIP, 2015
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Sheng Huang, M. Elhoseiny, Ahmed Elgammal:
Improving Non-Negative Matrix Factorization via Ranking Its Bases
ICIP, 2014
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M. Elhoseiny, Bing Song, Jeremi Sudol, David McKinnon:
Low-Bitrate Benefits of JPEG Compression on SIFT Recognition
ICIP, 2013
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M. Elhoseiny, Ahmed Elgammal:
English2MindMap: Automated System for Mind Map Generation from Text
ISM, 2012
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