Shah Nawaz

https://hcai.at/ I am an Assistant Professor at Johannes Kepler University (JKU) Linz, Austria, affiliated with the Institute of Computational Perception , where I am part of Multimedia Mining and Search (MMS) group.

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Research

I'm interested in computer vision, machine learning, optimization, and image processing. Most of my research is about inferring the physical world (shape, motion, color, light, etc) from images. Representative papers are highlighted.

News

  • Received Nvidia GPU Grant (Titan Xp)
  • Publications

    Revisiting cross modal retrieval
    Shah Nawaz, Muhammad Kamran Janjua, Alessandro Calefati, Ignazio Gallo
    arXiv preprint arXiv:1807.07364, 2018

    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 the semantic relationship between them. However, in our work image-text encoding can achieve comparable results in terms of cross-modal retrieval without having to use a separate network for each modality. We show that text encodings can capture semantic relationships between multiple modalities. In our knowledge, this work is the first of its kind in terms of employing a single network and fused image-text embedding for cross-modal retrieval. We evaluate our approach on two famous multimodal datasets: MS-COCO and Flickr30K.

    Miscellanea

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    Design and source code from Jon Barron's website