4 citations · 7 across the 8 of their papers we have counts for
8 papers
Increasing the Thinking Budget is Not All You Need
Ignacio Iacobacci, Zhaozhi Qian, Faroq AL-Tam +2
Recently, a new wave of thinking-capable Large Language Models has emerged, demonstrating exceptional capabilities across a wide range of reasoning benchmarks. Early studies have b…
GazeVLM: A Vision-Language Model for Multi-Task Gaze Understanding
Athul M. Mathew, Haithem Hermassi, Thariq Khalid +1
Gaze understanding unifies the detection of people, their gaze targets, and objects of interest into a single framework, offering critical insight into visual attention and intent…
Leveraging Multi-Modal Saliency and Fusion for Gaze Target Detection
Athul M. Mathew, Arshad Ali Khan, Thariq Khalid +2
Gaze target detection (GTD) is the task of predicting where a person in an image is looking. This is a challenging task, as it requires the ability to understand the relationship b…
CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks
Zhaozhi Qian, Faroq Altam, Muhammad Alqurishi +1
Large Language Models (LLMs) are the cornerstones of modern artificial intelligence systems. This paper introduces Juhaina, a Arabic-English bilingual LLM specifically designed to…
Leveraging Neo4j and deep learning for traffic congestion simulation & optimization
Shyam Pratap Singh, Arshad Ali Khan, Riad Souissi +1
Traffic congestion has been a major challenge in many urban road networks. Extensive research studies have been conducted to highlight traffic-related congestion and address the is…
PMODE: Prototypical Mask based Object Dimension Estimation
Thariq Khalid, Mohammed Yahya Hakami, Riad Souissi
Can a neural network estimate an object's dimension in the wild? In this paper, we propose a method and deep learning architecture to estimate the dimensions of a quadrilateral obj…
Estimating indoor crowd density and movement behavior using WiFi Sensing
Syed Salman Alam, Muhammad Al-Qurishi, Riad Souissi
The fact that almost every person owns a smartphone device that can be precisely located is both empowering and worrying. If methods for accurate tracking of devices (and their own…
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts
Syed Adnan Yusuf, Abdulmalik Ali Aldawsari, Riad Souissi
The problem of automated car damage assessment presents a major challenge in the auto repair and damage assessment industry. The domain has several application areas ranging from c…