6 papers
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…
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,…
Bi Directional Feedback Fusion for Activity Aware Forecasting of Indoor CO2 and PM2.5
Harshala Gammulle, Lidia Morawska, Sridha Sridharan +1
Indoor air quality (IAQ) forecasting plays a critical role in safeguarding occupant health, ensuring thermal comfort, and supporting intelligent building control. However, predicti…
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…
Dual-Stream Alignment for Action Segmentation
Harshala Gammulle, Clinton Fookes, Sridha Sridharan +1
Action segmentation is a challenging yet active research area that involves identifying when and where specific actions occur in continuous video streams. Most existing work has fo…
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…