collaborators

12 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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,…

cs.RO2026

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…

cs.CV2025

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…

cs.CV2025

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…