16 citations · 40 across the 11 of their papers we have counts for
12 papers
MIRAGE: Full-Body Bystander Privacy for Smart Glasses with Consent-Based Restoration
Muhammad Umair, Muhammad Danial Maqbool, Fatima Arshad Cheema +4
Video recording on smart glasses exposes more than faces. Continuous capture reveals full-body biometric signatures, including gait, posture, and silhouette, that enable person re-…
Using Semantic Uncertainty to Estimate Transition Relevance in Turn-taking
Muhammad Umair, Jan P. de Ruiter
Turn-taking is a fundamental mechanism that governs when interlocutors speak and listen. Although Spoken Dialogue Systems (SDS) exploit a range of linguistic, acoustic, and non-ver…
Modeling Inter-drone Interference as a Service in Skyway Networks
Gabriel Timothy, Syeda Amna Rizvi, Muhammad Umair +2
We present a novel investigation into the impact of inter-drone interference on delivery efficiencies within multi-drone skyway networks. We conduct controlled experiments to analy…
Optimizing Keyphrase Ranking for Relevance and Diversity Using Submodular Function Optimization (SFO)
Muhammad Umair, Syed Jalaluddin Hashmi, Young-Koo Lee
Keyphrase ranking plays a crucial role in information retrieval and summarization by indexing and retrieving relevant information efficiently. Advances in natural language processi…
Large Language Models Know What To Say But Not When To Speak
Muhammad Umair, Vasanth Sarathy, JP de Ruiter
Turn-taking is a fundamental mechanism in human communication that ensures smooth and coherent verbal interactions. Recent advances in Large Language Models (LLMs) have motivated t…
Pre-Trained Language Models for Keyphrase Prediction: A Review
Muhammad Umair, Tangina Sultana, Young-Koo Lee
Keyphrase Prediction (KP) is essential for identifying keyphrases in a document that can summarize its content. However, recent Natural Language Processing (NLP) advances have deve…
AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent
Mugheez Asif, Abdul Manan, Abdul Moiz ur Rehman +2
In today's contemporary digital landscape, chatbots have become indispensable tools across various sectors, streamlining customer service, providing personal assistance, automating…
Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services
Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel framework for crowdsourced images to determine the likelihood of an image being fake. We use a service-oriented approach to model and represent crowdsourced imag…
Sora as a World Model? A Complete Survey on Text-to-Video Generation
Fachrina Dewi Puspitasari, Chaoning Zhang, Joseph Cho +13
The evolution of video generation from text, from animating MNIST to simulating the world with Sora, has progressed at a breakneck speed. Here, we systematically discuss how far te…
Detecting Changes in Crowdsourced Social Media Images
Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel service framework to detect changes in crowdsourced images. We use a service-oriented approach to model and represent crowdsourced images as image services. Non-…
An Efficient Internet Traffic Classification System Using Deep Learning for IoT
Muhammad Basit Umair, Zeshan Iqbal, Muhammad Bilal +3
Internet of Things (IoT) defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central location. These IoT devices ar…
An Efficient Machine Learning-based Elderly Fall Detection Algorithm
Faisal Hussain, Muhammad Basit Umair, Muhammad Ehatisham-ul-Haq +4
Falling is a commonly occurring mishap with elderly people, which may cause serious injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects o…