Kai Yuanqing Xiao — accepted AI-conference papers

2022

3DB: A Framework for Debugging Computer Vision Models

Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet +6

NeurIPS 2022accept

We introduce 3DB: an extendable, unified framework for testing and debugging vision models using photorealistic simulation. We demonstrate, through a wide range of use cases, that 3DB allows users to discover vulnerabilities in computer vision systems and gain insights into how models make decision…

Cited by 49 Source ↗PDF ↗code ↗Scholar ↗

2021

Noise or Signal: The Role of Image Backgrounds in Object Recognition

Kai Yuanqing Xiao, Logan Engstrom, Andrew Ilyas, Aleksander Madry

ICLR 2021poster

We assess the tendency of state-of-the-art object recognition models to depend on signals from image backgrounds. We create a toolkit for disentangling foreground and background signal on ImageNet images, and find that (a) models can achieve non-trivial accuracy by relying on the background alone, (…

Cited by 454 Source ↗PDF ↗code ↗Scholar ↗