11 papers
OasisSimp: An Open-source Asian-English Sentence Simplification Dataset
Hannah Liu, Muxin Tian, Iqra Ali +8
Sentence simplification aims to make complex text more accessible by reducing linguistic complexity while preserving the original meaning. However, progress in this area remains li…
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…