6 citations · 16 across the 8 of their papers we have counts for
9 papers
Assisted Spatial Cognition Through Vision-Language Models
H. Riaz, J. B. Fernandez, I. Mills +3
Multimodal AI, powered by Large Language Models (LLMs) and Vision-Language Models (VLMs), is transforming assistive technologies by enabling simultaneous processing of visual and t…
XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical Systems
Hamza Riaz, Arham Haroon, Maha Baig +3
Autonomous medical and robotic systems increasingly rely on intelligent perception and reasoning capabilities to interpret visual data and support clinical decision making. Radiolo…
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Hamza Riaz, Alan F. Smeaton
Modern AI models excel in controlled settings but often fail in real-world scenarios where data distributions shift unpredictably - a challenge known as domain generalisation (DG).…
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
Hamza Riaz, Alan F. Smeaton
With the growing sizes of AI models like large language models (LLMs) and vision transformers, deploying them on devices with limited computational resources is a significant chall…
Domain Generalisation with Bidirectional Encoder Representations from Vision Transformers
Hamza Riaz, Alan F. Smeaton
Domain generalisation involves pooling knowledge from source domain(s) into a single model that can generalise to unseen target domain(s). Recent research in domain generalisation…
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation
Hamza Riaz, Alan F. Smeaton
There are many computer vision applications including object segmentation, classification, object detection, and reconstruction for which machine learning (ML) shows state-of-the-a…