no code implementations • ICLR 2022 • Yingwei Li, Tiffany Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao
An edge in the graph encodes the relative distance information between a pair of target and reference objects.
5 code implementations • ICLR 2018 • Pouya Samangouei, Maya Kabkab, Rama Chellappa
Defense-GAN is trained to model the distribution of unperturbed images.
Ranked #1 on Adversarial Defense against FGSM Attack on MNIST
Adversarial Defense Adversarial Defense against FGSM Attack +1
1 code implementation • 5 Feb 2018 • Maya Kabkab, Pouya Samangouei, Rama Chellappa
We propose to train the GANs in a task-aware fashion, specifically for reconstruction tasks.
no code implementations • 14 Jun 2016 • Maya Kabkab, Azadeh Alavi, Rama Chellappa
Large-scale supervised classification algorithms, especially those based on deep convolutional neural networks (DCNNs), require vast amounts of training data to achieve state-of-the-art performance.