5 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…