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20182021
most citedRobust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

216 citations · 233 across the 7 of their papers we have counts for

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cs.CV2019

What is needed for simple spatial language capabilities in VQA?

Alexander Kuhnle, Ann Copestake

Visual question answering (VQA) comprises a variety of language capabilities. The diagnostic benchmark dataset CLEVR has fueled progress by helping to better assess and distinguish…

cs.CV2018

The meaning of "most" for visual question answering models

Alexander Kuhnle, Ann Copestake

The correct interpretation of quantifier statements in the context of a visual scene requires non-trivial inference mechanisms. For the example of "most", we discuss two strategies…