18 citations · 37 across the 15 of their papers we have counts for
16 papers
Navigating human-robot interaction challenges in private and residential aged care homes
David Ahmedt-Aristizabal, Mohammad Ali Armin, Akila Pemasiri +4
This chapter explores how robotic systems and ambient intelligence can enhance care for older adults in residential aged care (RAC) homes and private homes. Although these settings…
Machine Learning Challenges in Intelligent Unmanned Aerial Vehicle Operations in Developing Economie
Isuru Munasinghe, Nethmi Pathirana, Charitha Dombawala +2
Unmanned aerial vehicle (UAV) environments present significant challenges for machine learning (ML) due to limited platform resources, heterogeneous sensor data, dynamic mission co…
Biomechanically Accurate Gait Analysis: A 3d Human Reconstruction Framework for Markerless Estimation of Gait Parameters
Akila Pemasiri, Ethan Goan, Glen Lichtwark +3
This paper presents a biomechanically interpretable framework for gait analysis using 3D human reconstruction from video data. Unlike conventional keypoint based approaches, the pr…
AG-VPReID.VIR: Bridging Aerial and Ground Platforms for Video-based Visible-Infrared Person Re-ID
Huy Nguyen, Kien Nguyen, Akila Pemasiri +3
Person re-identification (Re-ID) across visible and infrared modalities is crucial for 24-hour surveillance systems, but existing datasets primarily focus on ground-level perspecti…
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
Huy Nguyen, Kien Nguyen, Akila Pemasiri +3
We introduce AG-VPReID, a new large-scale dataset for aerial-ground video-based person re-identification (ReID) that comprises 6,632 subjects, 32,321 tracklets and over 9.6 million…
RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection
Zi Huang, Simon Denman, Akila Pemasiri +2
Real-time detection of radar signals in a wideband radio frequency spectrum is a critical situational assessment function in electronic warfare. Compute-efficient detection models…
Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation
Zi Huang, Simon Denman, Akila Pemasiri +2
Radar signal recognition (RSR) plays a pivotal role in electronic warfare (EW), as accurately classifying radar signals is critical for informing decision-making. Recent advances i…
Efficient Localization of Directional Emitters via Joint Beampattern Estimation
Fraser Williams, Akila Pemasiri, Dhammika Jayalath +2
The localization of directional RF emitters presents significant challenges for electronic warfare applications. Traditional localization methods, designed for omnidirectional emit…
Revisiting the Role of Texture in 3D Person Re-identification
Huy Nguyen, Kien Nguyen, Akila Pemasiri +2
This study introduces a new framework for 3D person re-identification (re-ID) that leverages readily available high-resolution texture data in 3D reconstruction to improve the perf…
Automatic Radar Signal Detection and FFT Estimation using Deep Learning
Akila Pemasiri, Zi Huang, Fraser Williams +4
This paper addresses a critical preliminary step in radar signal processing: detecting the presence of a radar signal and robustly estimating its bandwidth. Existing methods which…
Multi-stage Learning for Radar Pulse Activity Segmentation
Zi Huang, Akila Pemasiri, Simon Denman +2
Radio signal recognition is a crucial function in electronic warfare. Precise identification and localisation of radar pulse activities are required by electronic warfare systems t…
Multi-task Learning for Radar Signal Characterisation
Zi Huang, Akila Pemasiri, Simon Denman +2
Radio signal recognition is a crucial task in both civilian and military applications, as accurate and timely identification of unknown signals is an essential part of spectrum man…
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study
Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka +4
Recently, in-bed human pose estimation has attracted the interest of researchers due to its relevance to a wide range of healthcare applications. Compared to the general problem of…
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image
Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan +1
This work addresses hand mesh recovery from a single RGB image. In contrast to most of the existing approaches where the parametric hand models are employed as the prior, we show t…
Semantic Correspondence: A Hierarchical Approach
Akila Pemasiri, Kien Nguyen, Sridha Sridhara +1
Establishing semantic correspondence across images when the objects in the images have undergone complex deformations remains a challenging task in the field of computer vision. In…
Sparse Over-complete Patch Matching
Akila Pemasiri, Kien Nguyen, Sridha Sridharan +1
Image patch matching, which is the process of identifying corresponding patches across images, has been used as a subroutine for many computer vision and image processing tasks. St…