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
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
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
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