2020
DOI: 10.1109/lra.2020.2969921
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Interactive Natural Language-Based Person Search

Abstract: In this work, we consider the problem of searching people in an unconstrained environment, with natural language descriptions. Specifically, we study how to systematically design an algorithm to effectively acquire descriptions from humans. An algorithm is proposed by adapting models, used for visual and language understanding, to search a person of interest (POI) in a principled way, achieving promising results without the need to re-design another complicated model. We then investigate an iterative question-… Show more

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Cited by 4 publications
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References 22 publications
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