Author

Ozge Mercanoglu Sincan

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Preprint Sep 2026

SignRefine: Adapting Foundational Video Models for Sign Language Generation

Sign language video generation demands precise hand and facial articulation, yet modern video diffusion models, trained predominantly on spoken-language video, produce artifacts that render signing unintelligible. We propose SignRefine, a sign language video generation model that produces comprehensible signing from 2D...

A. Pelykh, Edward Fish, Ozge Mercanoglu Sincan et al. · 0 citations

Preprint Sep 2026

SignSeek: Learning Transferable Representations for Sign Dictionary Retrieval

SignSeek sets a new state-of-the-art performance in cross-corpus retrieval on ASL-Citizen, WLASL, and NMFs-CSL without any downstream fine-tuning, surpassing methods explicitly trained on BSL and outperforming prior skeleton-based methods.

Sobhan Asasi, Ozge Mercanoglu Sincan, Richard Bowden · 0 citations