1 citations · 1 across the 1 of their papers we have counts for
6 papers
Guiding Attention using Partial-Order Relationships for Image Captioning
Murad Popattia, Muhammad Rafi, Rizwan Qureshi +1
The use of attention models for automated image captioning has enabled many systems to produce accurate and meaningful descriptions for images. Over the years, many novel approache…
Picture What you Read
Ignazio Gallo, Shah Nawaz, Alessandro Calefati +2
Visualization refers to our ability to create an image in our head based on the text we read or the words we hear. It is one of the many skills that makes reading comprehension pos…
Do Cross Modal Systems Leverage Semantic Relationships?
Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo +3
Current cross-modal retrieval systems are evaluated using R@K measure which does not leverage semantic relationships rather strictly follows the manually marked image text query pa…
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
Muhammad Kamran Janjua, Shah Nawaz, Alessandro Calefati +1
Majority of the current dimensionality reduction or retrieval techniques rely on embedding the learned feature representations onto a computable metric space. Once the learned feat…
Seeing Colors: Learning Semantic Text Encoding for Classification
Shah Nawaz, Alessandro Calefati, Muhammad Kamran Janjua +1
The question we answer with this work is: can we convert a text document into an image to exploit best image classification models to classify documents? To answer this question we…
Revisiting Cross Modal Retrieval
Shah Nawaz, Muhammad Kamran Janjua, Alessandro Calefati +1
This paper proposes a cross-modal retrieval system that leverages on image and text encoding. Most multimodal architectures employ separate networks for each modality to capture th…