297 citations · 821 across the 15 of their papers we have counts for
3 papers · 1 filter
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Adrià Recasens, Petr Kellnhofer, Simon Stent +2
We introduce a saliency-based distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task. Our differentiable layer…
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Spandan Madan, Zoya Bylinskii, Matthew Tancik +6
Widely used in news, business, and educational media, infographics are handcrafted to effectively communicate messages about complex and often abstract topics including `ways to co…
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
David Harwath, Adrià Recasens, Dídac Surís +3
In this paper, we explore neural network models that learn to associate segments of spoken audio captions with the semantically relevant portions of natural images that they refer…