Ciprian A. Corneanu — accepted AI-conference papers

2020

Computing the Testing Error Without a Testing Set

Ciprian A. Corneanu, Sergio Escalera, Aleix M. Martinez

CVPR 2020oral

Deep Neural Networks (DNNs) have revolutionized computer vision. We now have DNNs that achieve top (accuracy) results in many problems, including object recognition, facial expression analysis, and semantic segmentation, to name but a few. The design of the DNNs that achieve top results is, however,…

Cited by 82 PDF ↗code ↗Scholar ↗

2019

What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?

Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martinez

CVPR 2019poster

The flexibility and high-accuracy of Deep Neural Networks (DNNs) has transformed computer vision. But, the fact that we do not know when a specific DNN will work and when it will fail has resulted in a lack of trust. A clear example is self-driving cars; people are uncomfortable sitting in a car dri…

Cited by 47 PDF ↗Scholar ↗