143 citations · 304 across the 8 of their papers we have counts for
8 papers
On the Importance of Signer Overlap for Sign Language Detection
Abhilash Pal, Stephan Huber, Cyrine Chaabani +2
Sign language detection, identifying if someone is signing or not, is becoming crucially important for its applications in remote conferencing software and for selecting useful sig…
Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation
Subhadeep Dey, Abhilash Pal, Cyrine Chaabani +1
This paper describes Microsoft's submission to the first shared task on sign language translation at WMT 2022, a public competition tackling sign language to spoken language transl…
Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021
Yuriy Arabskyy, Aashish Agarwal, Subhadeep Dey +1
This paper describes the winning approach in the Shared Task 3 at SwissText 2021 on Swiss German Speech to Standard German Text, a public competition on dialect recognition and tra…
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…