249 citations · 251 across the 10 of their papers we have counts for
11 papers
Machine Translation for Sign Languages
Ozge Mercanoglu Sincan, Anton Pelykh, Edward Fish +7
Sign language machine translation has progressed substantially over the past decade, evolving from isolated sign recognition to end-to-end translation systems. Advances in pose est…
SignRefine: Adapting Foundational Video Models for Sign Language Generation
Anton Pelykh, Edward Fish, Ozge Mercanoglu Sincan +1
Sign language video generation demands precise hand and facial articulation, yet modern video diffusion models, trained predominantly on spoken-language video, produce artifacts th…
SignSeek: Learning Transferable Representations for Sign Dictionary Retrieval
Sobhan Asasi, Ozge Mercanoglu Sincan, Richard Bowden
Sign language dictionaries are essential resources for sign language learners, yet automatically retrieving a sign from a dictionary, given only a query video, remains a challengin…
BackTranslation2.0 -- A Linguistically Motivated Metric to Assess Sign Language Production
Oliver Cory, Maksym Ivashechkin, Karahan Sahin +6
Sign Languages (SLs) are the primary means of communication for millions of deaf individuals, yet existing evaluation metrics for generated SL remain simplistic and poorly aligned…
M3T: Discrete Multi-Modal Motion Tokens for Sign Language Production
Alexandre Symeonidis-Herzig, Jianhe Low, Ozge Mercanoglu Sincan +1
Sign language production requires more than hand motion generation. Non-manual features, including mouthings, eyebrow raises, gaze, and head movements, are grammatically obligatory…
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…
Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation
Anton Pelykh, Ozge Mercanoglu Sincan, Richard Bowden
Recent years have seen significant progress in human image generation, particularly with the advancements in diffusion models. However, existing diffusion methods encounter challen…
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…
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{…
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods
Ozge Mercanoglu Sincan, Hacer Yalim Keles
Sign language recognition is a challenging problem where signs are identified by simultaneous local and global articulations of multiple sources, i.e. hand shape and orientation, h…