Search Results for author: Marko Smilevski

Found 2 papers, 2 papers with code

Applying recent advances in Visual Question Answering to Record Linkage

1 code implementation12 Jul 2020 Marko Smilevski

The neural networks we propose use two different fusion modules, the Recurrent Neural Network + Convolutional Neural Network fusion module and the Stacked Attention Network fusion module, that jointly combine the visual and the textual data of the records.

Question Answering Visual Question Answering

Stories for Images-in-Sequence by using Visual and Narrative Components

1 code implementation15 May 2018 Marko Smilevski, Ilija Lalkovski, Gjorgji Madjarov

As a novelty, our encoder model is composed of two separate encoders, one that models the behaviour of the image sequence and other that models the sentence-story generated for the previous image in the sequence of images.

Sentence

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