Constructs continuous sign conversation data from isolated signs using retrieval and diffusion models to train a direct sign-to-sign conversational AI.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
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An end-to-end framework redacts PHI from medical images via CRNN detection and restores them with Stable Diffusion inpainting to enable privacy-preserving data sharing without losing downstream utility.
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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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From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction
An end-to-end framework redacts PHI from medical images via CRNN detection and restores them with Stable Diffusion inpainting to enable privacy-preserving data sharing without losing downstream utility.