50 citations · 65 across the 18 of their papers we have counts for
9 papers · 1 filter
Adapting Multimodal Foundation Models for Few-Shot Learning: A Comprehensive Study on Contrastive Captioners
N. K. B. M. P. K. B. Narasinghe, Uthayasanker Thayasivam
Large-scale multimodal foundation models, particularly Contrastive Captioners (CoCa), have achieved state-of-the-art results by unifying contrastive alignment with generative capti…
Team-Aware Football Player Tracking with SAM: An Appearance-Based Approach to Occlusion Recovery
Chamath Ranasinghe, Uthayasanker Thayasivam
Football player tracking is challenged by frequent occlusions, similar appearances, and rapid motion in crowded scenes. This paper presents a lightweight SAM-based tracking method…
TBT-Former: Learning Temporal Boundary Distributions for Action Localization
Thisara Rathnayaka, Uthayasanker Thayasivam
Temporal Action Localization (TAL) remains a fundamental challenge in video understanding, aiming to identify the start time, end time, and category of all action instances within…
Pushing the Boundaries of Interpretability: Incremental Enhancements to the Explainable Boosting Machine
Isara Liyanage, Uthayasanker Thayasivam
The widespread adoption of complex machine learning models in high-stakes domains has brought the "black-box" problem to the forefront of responsible AI research. This paper aims a…
TS2Vec-Ensemble: An Enhanced Self-Supervised Framework for Time Series Forecasting
Ganeshan Niroshan, Uthayasanker Thayasivam
Self-supervised representation learning, particularly through contrastive methods like TS2Vec, has advanced the analysis of time series data. However, these models often falter in…
Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification
Yasiru Laksara, Uthayasanker Thayasivam
The utility of deep learning models, such as CheXNet, in high stakes clinical settings is fundamentally constrained by their purely deterministic nature, failing to provide reliabl…
Attack-Specialized Deep Learning with Ensemble Fusion for Network Anomaly Detection
Nisith Dissanayake, Uthayasanker Thayasivam
The growing scale and sophistication of cyberattacks pose critical challenges to network security, particularly in detecting diverse intrusion types within imbalanced datasets. Tra…
A Novel Multi-branch ConvNeXt Architecture for Identifying Subtle Pathological Features in CT Scans
Irash Perera, Uthayasanker Thayasivam
Intelligent analysis of medical imaging plays a crucial role in assisting clinical diagnosis, especially for identifying subtle pathological features. This paper introduces a novel…
A Framework to Prevent Biometric Data Leakage in the Immersive Technologies Domain
Keshav Sood, Iynkaran Natgunanathan, Uthayasanker Thayasivam +3
Doubtlessly, the immersive technologies have potential to ease people's life and uplift economy, however the obvious data privacy risks cannot be ignored. For example, a participan…