12 citations · 58 across the 14 of their papers we have counts for
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Document Visual Question Answering Challenge 2020
Minesh Mathew, Ruben Tito, Dimosthenis Karatzas +2
This paper presents results of Document Visual Question Answering Challenge organized as part of "Text and Documents in the Deep Learning Era" workshop, in CVPR 2020. The challenge…
DocVQA: A Dataset for VQA on Document Images
Minesh Mathew, Dimosthenis Karatzas, C. V. Jawahar
We present a new dataset for Visual Question Answering (VQA) on document images called DocVQA. The dataset consists of 50,000 questions defined on 12,000+ document images. Detailed…
RoadText-1K: Text Detection & Recognition Dataset for Driving Videos
Sangeeth Reddy, Minesh Mathew, Lluis Gomez +3
Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. Most o…