CIS seminar series - Shah Nawaz (German Electron Synchrotron)

Centre for Intelligent Sensing

(The Zoom link will be provided upon completion of the Eventbrite registration)Title: Multimodal representation and learningPresenter: Shah Nawaz, Postdoc Researcher at German Electron Synchrotron AbstractDeep learning has remarkably improved the state-of-the-art speech recognition, visual object detection and text processing tasks. Interestingly, the majority of these tasks are focused on single modality (images, text, speech, etc.), however real-world scenarios present data in a multimodal fashion -- we see objects, hear sounds etc. Moreover, recent years have seen an explosion in multimodal data on the web. Typically, users combine text, image, audio or video to sell a product over an e-commence platform or express views on social media. In addition, it is well-known that multimodal data provide enriched information to capture a particular ``concept&#x27;&#x27; than individual modalities. Thus the talk will focus on learning representation of multiple modalities for various computer vision tasks including cross-modal verification, cross-modal matching, zero-shot learning etc.BioShah Nawaz is a postdoc researcher at German Electron Synchrotron with a focus on computer vision and deep learning. He had developed various techniques in the doctoral and post-doctoral programs to learn the presentation of various multimodal applications ranging from classification to cross-modal retrieval. Programme13:30 - 13:35: Opening and introduction13:35 - 14:20: Talk by Shah Nawaz14:20 - 14:30: Q&amp;A and closing remarksHost: Changjae Oh, Centre for Intelligent Sensing, Queen Mary University of London

CIS seminar series - Shah Nawaz (German Electron Synchrotron)

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CIS seminar series - Shah Nawaz (German Electron Synchrotron)

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