388 citations · 1.6k across the 42 of their papers we have counts for
4 papers · 1 filter
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract)
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata +4
Deep models are the defacto standard in visual decision problems due to their impressive performance on a wide array of visual tasks. On the other hand, their opaqueness has led to…
Gradient-free Policy Architecture Search and Adaptation
Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell
We develop a method for policy architecture search and adaptation via gradient-free optimization which can learn to perform autonomous driving tasks. By learning from both demonstr…
Fooling Vision and Language Models Despite Localization and Attention Mechanism
Xiaojun Xu, Xinyun Chen, Chang Liu +3
Adversarial attacks are known to succeed on classifiers, but it has been an open question whether more complex vision systems are vulnerable. In this paper, we study adversarial ex…
Generating Descriptions with Grounded and Co-Referenced People
Anna Rohrbach, Marcus Rohrbach, Siyu Tang +2
Learning how to generate descriptions of images or videos received major interest both in the Computer Vision and Natural Language Processing communities. While a few works have pr…