87 citations · 375 across the 43 of their papers we have counts for
48 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…
Corrupting Attention: Evasion-Based Adversarial Attacks on Encoder Attention in Detection Transformers
Ridma Jayasundara, Shaheer Mohamed, Tharindu Fernando +6
Adversarial vulnerabilities remain a major concern for the safe deployment of neural networks, particularly in object detection, a core task embedded in many safety-critical system…
TOLiD: Bridging the Architecture Gap in Vision Foundation Model to LiDAR Pretraining via Token Lifting for Distillation
Sutharsan Mahendran, Darshana Priyasad, Kaushik Roy +4
Cross-modal distillation from Vision Foundation Models (VFMs) to LiDAR backbones has recently emerged as a self-supervised pretraining strategy that reduces reliance on dense point…
Physics-Guided Attention in a Lightweight TCN for Efficient WiFi CSI-Based Human Activity Recognition
Chinthaka Ranasingha, Tharindu Fernando, Sridha Sridharan +2
Human Action Recognition (HAR) using WiFi Channel State Information (CSI) has gained increasing attention due to its non-contact, low-cost, and privacy-preserving nature. However,…
Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction
Ganeshaaraj Gnanavel, Tharindu Fernando, Sridha Sridharan +1
Long-horizon vessel trajectory forecasting under real ocean conditions is critical for collision avoidance, traffic management, and route planning. However, achieving accurate pred…
DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learning
Tharindu Fernando, Clinton Fookes, Sridha Sridharan
Rapid advances in generative AI have led to increasingly realistic deepfakes, posing growing challenges for law enforcement and public trust. Existing passive deepfake detectors st…
Transforming volcanic monitoring: A dataset and benchmark for onboard volcano activity detection
Darshana Priyasad, Tharindu Fernando, Maryam Haghighat +2
Natural disasters, such as volcanic eruptions, pose significant challenges to daily life and incur considerable global economic losses. The emergence of next-generation small-satel…
Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection
Tharindu Fernando, Clinton Fookes, Sridha Sridharan +1
Remarkable advancements in generative AI technology have given rise to a spectrum of novel deepfake categories with unprecedented leaps in their realism, and deepfakes are increasi…
Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data
Shaheer Mohamed, Tharindu Fernando, Sridha Sridharan +2
Hyperspectral images (HSIs) capture rich spectral signatures that reveal vital material properties, offering broad applicability across various domains. However, the scarcity of la…
Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking
Shaheer Mohamed, Tharindu Fernando, Sridha Sridharan +2
Hyperspectral object tracking using snapshot mosaic cameras is emerging as it provides enhanced spectral information alongside spatial data, contributing to a more comprehensive un…
Face Deepfakes -- A Comprehensive Review
Tharindu Fernando, Darshana Priyasad, Sridha Sridharan +2
In recent years, remarkable advancements in deep-fake generation technology have led to unprecedented leaps in its realism and capabilities. Despite these advances, we observe a no…
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
Nethmi S. Hewawiththi, M. Mahesha Viduranga, Vanodhya G. Warnasooriya +4
Unmanned aerial vehicle-assisted disaster recovery missions have been promoted recently due to their reliability and flexibility. Machine learning algorithms running onboard signif…
Physics Augmented Tuple Transformer for Autism Severity Level Detection
Chinthaka Ranasingha, Harshala Gammulle, Tharindu Fernando +2
Early diagnosis of Autism Spectrum Disorder (ASD) is an effective and favorable step towards enhancing the health and well-being of children with ASD. Manual ASD diagnosis testing…
Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training
Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz +4
We propose Point-PNG, a novel self-supervised learning framework that generates conditional pseudo-negatives in the latent space to learn point cloud representations that are both…
AI, Entrepreneurs, and Privacy: Deep Learning Outperforms Humans in Detecting Entrepreneurs from Image Data
Martin Obschonka, Christian Fisch, Tharindu Fernando +1
Occupational outcomes like entrepreneurship are generally considered personal information that individuals should have the autonomy to disclose. With the advancing capability of ar…
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pretraining
Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando +3
Hyperspectral images (HSIs) contain rich spectral and spatial information. Motivated by the success of transformers in the field of natural language processing and computer vision…
A Quantized Interband Topological Index in Two-Dimensional Systems
Tharindu Fernando, Ting Cao
We introduce a novel gauge-invariant, quantized interband index in two-dimensional (2D) multiband systems. It provides a bulk topological classification of a submanifold of paramet…
Raman Study of Layered Breathing Kagome Lattice Semiconductor Nb3Cl8
Dylan A. Jeff, Favian Gonzalez, Kamal Harrison +11
Niobium chloride (Nb3Cl8) is a layered 2D semiconducting material with many exotic properties including a breathing kagome lattice, a topological flat band in its band structure, a…
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Tharindu Fernando, Harshala Gammulle, Sridha Sridharan +2
Humans exhibit complex motions that vary depending on the task that they are performing, the interactions they engage in, as well as subject-specific preferences. Therefore, foreca…
Physical Adversarial Attacks for Surveillance: A Survey
Kien Nguyen, Tharindu Fernando, Clinton Fookes +1
Modern automated surveillance techniques are heavily reliant on deep learning methods. Despite the superior performance, these learning systems are inherently vulnerable to adversa…
Finite Element Methods for Linear Maxwell's Equations in Bianisotropic Media Permitting Polarization Fields and Magnetic Currents
Tharindu Fernando, Martin Licht, Michael Holst
We review Maxwell's equations and constitutive relations for 3D bianisotropic media in a generalized form: we consider all four variables and allow for nonzero polarization or magn…
Using Auxiliary Information for Person Re-Identification -- A Tutorial Overview
Tharindu Fernando, Clinton Fookes, Sridha Sridharan +1
Person re-identification (re-id) is a pivotal task within an intelligent surveillance pipeline and there exist numerous re-id frameworks that achieve satisfactory performance in ch…
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images
Tharindu Fernando, Clinton Fookes, Harshala Gammulle +2
With tremendous advancements in low-power embedded computing devices and remote sensing instruments, the traditional satellite image processing pipeline which includes an expensive…
Spectroscopic evidence of flat bands in breathing kagome semiconductor Nb3I8
Sabin Regmi, Tharindu Fernando, Yuzhou Zhao +10
Kagome materials have become solid grounds to study the interplay among geometry, topology, correlation, and magnetism. Recently, semiconductors Nb3X8(X = Cl, Br, I) have been pred…