Multimodal intent recognition combines linguistic, acoustic, and visual evidence, but individual modalities may be noisy, missing, semantically conflicting, or disproportionately dominant. Existing methods typically infer modality importance implicitly and either reweight or suppress unreliable inputs, without determin...
Suraj Kumar, Mohnish Raj, Soumi Chattopadhayay et al.· 0 citations
This paper deals with offline writer verification on complex handwriting patterns, where handcrafted feature PDFs are hybridized with auto-derived CNN features and fed into a Siamese neural network for writer verification.
Chandranath Adak, SimoneMarinai, BidyutB.Chaudhuri et al.· 0 citations
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