50 citations · 65 across the 18 of their papers we have counts for
6 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…
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…
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…
FlowChroma -- A Deep Recurrent Neural Network for Video Colorization
Thejan Wijesinghe, Chamath Abeysinghe, Chanuka Wijayakoon +2
We develop an automated video colorization framework that minimizes the flickering of colors across frames. If we apply image colorization techniques to successive frames of a vide…