1 citations · 1 across the 4 of their papers we have counts for
4 papers
Transformers with Stochastic Competition for Tabular Data Modelling
Andreas Voskou, Charalambos Christoforou, Sotirios Chatzis
Despite the prevalence and significance of tabular data across numerous industries and fields, it has been relatively underexplored in the realm of deep learning. Even today, neura…
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset
Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides +2
Automatic Sign Language Translation (SLT) is a research avenue of great societal impact. End-to-End SLT facilitates the interaction of Hard-of-Hearing (HoH) with hearing people, th…
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation
Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos +2
Automating sign language translation (SLT) is a challenging real world application. Despite its societal importance, though, research progress in the field remains rather poor. Cru…
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos +2
Memory-efficient continuous Sign Language Translation is a significant challenge for the development of assisted technologies with real-time applicability for the deaf. In this wor…