1 citations · 1 across the 3 of their papers we have counts for
8 papers
SIGNET: Motion-Level Knowledge Transfer for Cross-Language Sign Language Translation
Sobhan Asasi, Ozge Mercanoglu Sincan, Richard Bowden
Sign language translation (SLT) remains challenging due to its high spatio-temporal complexity, long sequences, and the need to model multiple articulators without relying on gloss…
SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation
JianHe Low, Ozge Mercanoglu Sincan, Richard Bowden
Gloss-free Sign Language Translation (SLT) has advanced rapidly, achieving strong performances without relying on gloss annotations. However, these gains have often come with incre…
Hands-On: Segmenting Individual Signs from Continuous Sequences
JianHe Low, Harry Walsh, Ozge Mercanoglu Sincan +1
This work tackles the challenge of continuous sign language segmentation, a key task with huge implications for sign language translation and data annotation. We propose a transfor…
Gloss-Free Sign Language Translation: An Unbiased Evaluation of Progress in the Field
Ozge Mercanoglu Sincan, Jian He Low, Sobhan Asasi +1
Sign Language Translation (SLT) aims to automatically convert visual sign language videos into spoken language text and vice versa. While recent years have seen rapid progress, the…
Beyond Gloss: A Hand-Centric Framework for Gloss-Free Sign Language Translation
Sobhan Asasi, Mohamed Ilyas Lakhal, Ozge Mercanoglu Sincan +1
Sign Language Translation (SLT) is a challenging task that requires bridging the modality gap between visual and linguistic information while capturing subtle variations in hand sh…
Sign Spotting Disambiguation using Large Language Models
JianHe Low, Ozge Mercanoglu Sincan, Richard Bowden
Sign spotting, the task of identifying and localizing individual signs within continuous sign language video, plays a pivotal role in scaling dataset annotations and addressing the…