7 papers
An Empirical Study on Chinese Character Decomposition in Multiword Expression-Aware Neural Machine Translation
Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton
Word meaning, representation, and interpretation play fundamental roles in natural language understanding (NLU), natural language processing (NLP), and natural language generation…
A Dimensional Approach to Canine Bark Analysis for Assistance Dog Seizure Signaling
Hailin Song, Shelley Brady, Tomás Ward +1
Standard classification of canine vocalisations is severely limited for assistance dogs, where sample data is sparse and variable across dogs and where capture of the full range of…
Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection
Ayush K. Rai, Kyle Min, Tarun Krishna +3
Masked video modeling~(MVM) has emerged as a highly effective pre-training strategy for visual foundation models, whereby the model reconstructs masked spatiotemporal tokens using…
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Hamza Riaz, Alan F. Smeaton
Modern AI models excel in controlled settings but often fail in real-world scenarios where data distributions shift unpredictably - a challenge known as domain generalisation (DG).…
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
Hamza Riaz, Alan F. Smeaton
With the growing sizes of AI models like large language models (LLMs) and vision transformers, deploying them on devices with limited computational resources is a significant chall…
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior
Phúc H. Le Khac, Graham Healy, Alan F. Smeaton
This paper addresses key challenges in object-centric representation learning of video. While existing approaches struggle with complex scenes, we propose a novel weakly-supervised…