Author: Mahmoud Ghorbel

Mahmoud Ghorbel
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Mahmoud is a PhD researcher in machine learning. He also holds a bachelor's degree in physical science and a master's degree in telecommunications and networking systems. His current areas of research concern computer vision, stock market prediction and deep learning. He produced several scientific articles about person re- identification and the study of the robustness and stability of deep networks.

This AI Paper Propose AugGPT: A Text Data Augmentation Approach based on ChatGPT

AI Shorts
NLP, or Natural Language Processing, is a field of AI focusing on human-computer interaction using language. Text analysis, translation, chatbots, and sentiment analysis are...

Tencent AI Lab Introduces Progressive Conditional Diffusion Models (PCDMs) that Incrementally Bridge the Gap Between Person Images Under the Target and Source Poses Through...

AI Shorts
The field of research in pose-guided person image synthesis has made significant progress in recent years, focusing on generating images of a person with...

Meet Mini-DALLE3: An Interactive Text to Image Approach by Prompting Large Language Models

AI Shorts
Artificial intelligence content generation's rapid evolution, particularly in text-to-image (T2I) models, has ushered in a new era of high-quality, diverse, and creative AI-generated content....

How Can We Optimize Video Action Recognition? Unveiling the Power of Spatial and Temporal Attention Modules in Deep Learning Approaches

AI Shorts
Action recognition is the process of automatically identifying and categorizing human actions or movements in videos. It has applications in various domains, including surveillance,...

How Can We Efficiently Distinguish Facial Images Without Reconstruction? Check Out This Novel AI Approach Leveraging Emotion Matching in FER Datasets

AI Shorts
Research focuses on categorizing human facial images by emotions through facial expression recognition (FER) using powerful deep neural networks (DNNs). However, accurately classifying unlearned...

This AI Paper Unveils an Enhanced CycleGAN Approach for Robust Person Re-identification Across Varied Camera Styles

AI Paper Summary
Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation,...

How Does Image Anonymization Impact Computer Vision Performance? Exploring Traditional vs. Realistic Anonymization Techniques

AI Paper Summary
Image anonymization involves altering visual data to protect individuals' privacy by obscuring identifiable features. As the digital age advances, there's an increasing need to...

How Can We Mitigate Background-Induced Bias in Fine-Grained Image Classification? A Comparative Study of Masking Strategies and Model Architectures

AI Paper Summary
Fine-grained image categorization delves into distinguishing closely related subclasses within a broader category. For example, instead of merely identifying an image as a "bird,"...

Automatic Music Generation Using Deep Learning

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Historically, music has served as a powerful indicator of human artistic endeavor. Currently, the confluence of traditional musical constructs and computational methodologies is particularly...

Can AI Truly Restore Facial Details from Low-Quality Images? Meet DAEFR: A Dual-Branch Framework for Enhanced Quality

AI Shorts
In the field of image processing, recovering high-definition information from poor facial photographs is still a difficult task. Due to the numerous degradations these...

This AI Paper Identifies Popular Dynamics in Behavioral and Physiological Smartphone Authentication and their Performance with Various Deep Learning and Machine Learning Algorithms

AI Shorts
Over the years, mobile devices have seen significant advancements in functionality and popularity, while security measures have not kept pace. Smartphones now hold immense...

This AI Research Proposes Strip-Cutmix: A Data Augmentation Method that is more Suitable for Person Re-Identification

AI Paper Summary
In computer vision, person re-identification is a vital pursuit in today's interconnected world. It involves the challenging task of identifying individuals across different camera...
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