37 citations · 185 across the 47 of their papers we have counts for
59 papers
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse
Ozge Mercanoglu Sincan, Necati Cihan Camgoz, Richard Bowden
Sign Language Translation (SLT) is a challenging task that aims to generate spoken language sentences from sign language videos, both of which have different grammar and word/gloss…
Improving 3D Pose Estimation for Sign Language
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
This work addresses 3D human pose reconstruction in single images. We present a method that combines Forward Kinematics (FK) with neural networks to ensure a fast and valid predict…
Denoising Diffusion for 3D Hand Pose Estimation from Images
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
Hand pose estimation from a single image has many applications. However, approaches to full 3D body pose estimation are typically trained on day-to-day activities or actions. As su…
Learnt Contrastive Concept Embeddings for Sign Recognition
Ryan Wong, Necati Cihan Camgoz, Richard Bowden
In natural language processing (NLP) of spoken languages, word embeddings have been shown to be a useful method to encode the meaning of words. Sign languages are visual languages,…
Gloss Alignment Using Word Embeddings
Harry Walsh, Ozge Mercanoglu Sincan, Ben Saunders +1
Capturing and annotating Sign language datasets is a time consuming and costly process. Current datasets are orders of magnitude too small to successfully train unconstrained \acf{…
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
Jaime Spencer, Chris Russell, Simon Hadfield +1
Self-supervised monocular depth estimation (SS-MDE) has the potential to scale to vast quantities of data. Unfortunately, existing approaches limit themselves to the automotive dom…