15 citations · 37 across the 9 of their papers we have counts for
9 papers
Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study
Yassine El Kheir, Omnia Ibrahim, Amit Meghanani +12
We present a unified benchmark for mispronunciation detection in Modern Standard Arabic (MSA) using Qur'anic recitation as a case study. Our approach lays the groundwork for advanc…
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem +1
Deep neural networks have been critical in the task of Visual Question Answering (VQA), with research traditionally focused on improving model accuracy. Recently, however, there ha…
Network Moments: Extensions and Sparse-Smooth Attacks
Modar Alfadly, Adel Bibi, Emilio Botero +2
The impressive performance of deep neural networks (DNNs) has immensely strengthened the line of research that aims at theoretically analyzing their effectiveness. This has incited…
Assessing the Robustness of Visual Question Answering Models
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem +1
Deep neural networks have been playing an essential role in the task of Visual Question Answering (VQA). Until recently, their accuracy has been the main focus of research. Now the…
Expected Tight Bounds for Robust Training
Salman Alsubaihi, Adel Bibi, Modar Alfadly +2
Training Deep Neural Networks that are robust to norm bounded adversarial attacks remains an elusive problem. While exact and inexact verification-based methods are generally too e…
Analytical Moment Regularizer for Gaussian Robust Networks
Modar Alfadly, Adel Bibi, Bernard Ghanem
Despite the impressive performance of deep neural networks (DNNs) on numerous vision tasks, they still exhibit yet-to-understand uncouth behaviours. One puzzling behaviour is the s…