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cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

Contrastive Pretraining with Dual Visual Encoders for Gloss-Free Sign Language Translation

Ozge Mercanoglu Sincan, Richard Bowden

Sign Language Translation (SLT) aims to convert sign language videos into spoken or written text. While early systems relied on gloss annotations as an intermediate supervision, su…

cs.CV2025

Hierarchical Feature Alignment for Gloss-Free Sign Language Translation

Sobhan Asasi, Mohamed Ilyes Lakhal, Richard Bowden

Sign Language Translation (SLT) attempts to convert sign language videos into spoken sentences. However, many existing methods struggle with the disparity between visual and textua…