Elhoseiny, M.[Mohamed]
* 2013: Low-bitrate benefits of JPEG compression on sift recognition
* 2013: MultiClass Object Classification in Video Surveillance Systems: Experimental Study
* 2013: Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions
* 2014: Improving non-negative matrix factorization via ranking its bases
* 2015: Learning Hypergraph-regularized Attribute Predictors
* 2015: Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines
* 2015: Weather classification with deep convolutional neural networks
* 2016: Joint Object Recognition and Pose Estimation Using a Nonlinear View-Invariant Latent Generative Model
* 2016: SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
* 2017: Link the Head to the Beak: Zero Shot Learning from Noisy Text Description at Part Precision
* 2017: Relationship Proposal Networks
* 2017: Write a Classifier: Predicting Visual Classifiers from Unstructured Text
* 2018: Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance
* 2018: DesIGN: Design Inspiration from Generative Networks
* 2018: Exploring the Challenges Towards Lifelong Fact Learning
* 2018: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts, A
* 2018: Memory Aware Synapses: Learning What (not) to Forget
* 2019: Creativity Inspired Zero-Shot Learning
* 2020: Referit3d: Neural Listeners for Fine-grained 3d Object Identification in Real-world Scenes
* 2020: Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
* 2021: Adversarial Generation of Continuous Images
* 2021: Aligning Latent and Image Spaces to Connect the Unconnectable
* 2021: ArtEmis: Affective Language for Visual Art
* 2021: Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
* 2022: 3D CoMPaT: Composition of Materials on Parts of 3D Things
* 2022: 3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language
* 2022: Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
* 2022: It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection
* 2022: RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition
* 2022: Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
* 2022: StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
* 2022: VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning
* 2023: Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
* 2023: Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only
* 2023: FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction
* 2023: HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
* 2023: MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding
* 2023: MoStGAN-V: Video Generation with Temporal Motion Styles
* 2023: OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?
* 2024: Hybrid Graph Network for Complex Activity Detection in Video, A
Includes: Elhoseiny, M.[Mohamed] Elhoseiny, M.
40 for Elhoseiny, M.
Elhoseny, H.M.[Heba M.]
* 2015: Chaotic encryption of images in the fractional Fourier transform domain using different modes of operation
Elhoseny, M.[Mohamed]
* 2020: Cryptographic keys exchange model for smart city applications
* 2021: Intelligent Group Prediction Algorithm of GPS Trajectory Based on Vehicle Communication
* 2023: Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme
* 2024: Amalgamating Vehicular Networks With Vehicular Clouds, AI, and Big Data for Next-Generation ITS Services
Includes: Elhoseny, M.[Mohamed] Elhoseny, M.[Mohammed]
Elhoushi, M.
* 2017: Survey on Approaches of Motion Mode Recognition Using Sensors, A
* 2020: One-Shot Layer-Wise Accuracy Approximation For Layer Pruning
* 2020: To Filter Prune, or to Layer Prune, That Is the Question
* 2021: DeepShift: Towards Multiplication-Less Neural Networks
* 2021: Layer Importance Estimation with Imprinting for Neural Network Quantization
* 2022: Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction
Includes: Elhoushi, M. Elhoushi, M.[Mostafa]
Elhoussaine, Z.
* 2015: Knowledge discovery in WSN using mobile agents
* 2018: Efficient spark-based framework for solving the traveling salesman problem using a distributed swarm intelligence method