Constructs continuous sign conversation data from isolated signs using retrieval and diffusion models to train a direct sign-to-sign conversational AI.
Youtube-sl-25: A large-scale, open-domain multilingual sign language parallel corpus
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CanonSLR uses frontal-view teacher-student distillation and temporal motion enhancement to boost multi-view continuous sign language recognition, backed by new seven-view benchmarks PT14-MV and CSL-MV created from existing single-view datasets.
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Towards Continuous Sign Language Conversation from Isolated Signs
Constructs continuous sign conversation data from isolated signs using retrieval and diffusion models to train a direct sign-to-sign conversational AI.
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CanonSLR: Canonical-View Guided Multi-View Continuous Sign Language Recognition
CanonSLR uses frontal-view teacher-student distillation and temporal motion enhancement to boost multi-view continuous sign language recognition, backed by new seven-view benchmarks PT14-MV and CSL-MV created from existing single-view datasets.