Author

A. Pelykh

2 papers indexed here

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Review Oct 2026

Machine Translation for Sign Languages

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 estimation, transformer architectures, and large-scale dataset collection have driven progress, yet challenges remain. Datasets are limited com...

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

Preprint Sep 2026

SignRefine: Adapting Foundational Video Models for Sign Language Generation

SignRefine is proposed, a sign language video generation model that produces comprehensible signing from 2D keypoint conditioning alone, generalizing across appearances and visual conditions, and is preferred by sign language users for visual quality and comprehensibility in more than 80% of comparisons.

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