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11/23/2022
Human or Machine? Turing Tests for Vision and Language
As AI algorithms increasingly participate in daily activities that used ...
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06/15/2022
What makes domain generalization hard?
While several methodologies have been proposed for the daunting task of ...
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10/30/2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance los
The training data distribution is often biased towards objects in certai...
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06/30/2021
Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers
Neural networks are susceptible to small transformations including 2D ro...
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04/06/2021
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
Context is of fundamental importance to both human and machine vision – ...
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07/15/2020
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
Recognizing an object's category and pose lies at the heart of visual un...
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07/27/2018
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Widely used in news, business, and educational media, infographics are h...
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09/26/2017
Understanding Infographics through Textual and Visual Tag Prediction
We introduce the problem of visual hashtag discovery for infographics: e...
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08/08/2017
