59 citations · 70 across the 5 of their papers we have counts for
5 papers · 1 filter
Multi-channel Transformers for Multi-articulatory Sign Language Translation
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield +1
Sign languages use multiple asynchronous information channels (articulators), not just the hands but also the face and body, which computational approaches often ignore. In this pa…
Quantitative Survey of the State of the Art in Sign Language Recognition
Oscar Koller
This work presents a meta study covering around 300 published sign language recognition papers with over 400 experimental results. It includes most papers between the start of the…
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield +1
Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation (effectively recognizing the individual signs) improves the translation performa…
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Danielle Bragg, Oscar Koller, Mary Bellard +9
Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, nat…
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
Hamid Reza Vaezi Joze, Oscar Koller
Sign language recognition is a challenging and often underestimated problem comprising multi-modal articulators (handshape, orientation, movement, upper body and face) that integra…