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Author

Thang Cap Pham Dinh

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Conference Aug 2026

Improving Multimodal Skin Disease Classification via Feature-Space Augmentation with Bayesian Semantic Data Augmentation

Automated skin disease classification from clinical photographs faces distinct challenges relative to dermoscopy, including greater illumination variation, class imbalance, and domain shift. We propose a multimodal framework combining a Swin Transformer backbone with a structured metadata encoder and a Bayesian Semanti...

Tien Nhu Dinh, Thang Cap Pham Dinh, Phung Do · 0 citations
Conference Aug 2026

ViG: Grounded Adaptation of Transformer-Based Models for Low-Resource Vietnamese Image Captioning

Dual-feature captioners that fuse region-level and grid-level visual features define the state of the art in image captioning, yet they owe this strength to visual encoders trained on massive English corpora. A low-resource language such as Vietnamese cannot retrain these encoders, and finetuning the decoder alone cann...

Hieu Thien Vu, N. H. Ngoc, Thang Cap Pham Dinh et al. · 0 citations

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