most citedQUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 1 cited

ISC-Perception: A Hybrid Computer Vision Dataset for Object Detection in Novel Steel Assembly

Miftahur Rahman, Samuel Adebayo, Dorian A. Acevedo-Mejia +4

The Intermeshed Steel Connection (ISC) system, when paired with robotic manipulators, can accelerate steel-frame assembly and improve worker safety by eliminating manual assembly.…

cs.NI2025

The Blind Spot of BGP Anomaly Detection: Why LSTM Autoencoders Fail on Real-World Outages

Samuel Oluwafemi Adebayo

Deep learning has significant potential to make the Internet's Border Gateway Protocol (BGP) secure by detecting anomalous routing activity. However, all but a few of these approac…

eess.IV2024★ 1 cited

AlzhiNet: Traversing from 2DCNN to 3DCNN, Towards Early Detection and Diagnosis of Alzheimer's Disease

Romoke Grace Akindele, Samuel Adebayo, Paul Shekonya Kanda +1

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence among the aging population, necessitating early and accurate diagnosis for effective…

cs.CV2024★ 6 cited

QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly

Samuel Adebayo, Seán McLoone, Joost C. Dessing

QUB-PHEO introduces a visual-based, dyadic dataset with the potential of advancing human-robot interaction (HRI) research in assembly operations and intention inference. This datas…

cs.CV2024★ 5 cited

SLYKLatent: A Learning Framework for Gaze Estimation Using Deep Facial Feature Learning

Samuel Adebayo, Joost C. Dessing, Seán McLoone

In this research, we present SLYKLatent, a novel approach for enhancing gaze estimation by addressing appearance instability challenges in datasets due to aleatoric uncertainties,…