13 citations · 16 across the 5 of their papers we have counts for
6 papers
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning
Haider Al-Tahan, Yalda Mohsenzadeh
Contrastive learning of auditory and visual perception has been extremely successful when investigated individually. However, there are still major questions on how we could integr…
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan, Yalda Mohsenzadeh
Learning rich visual representations using contrastive self-supervised learning has been extremely successful. However, it is still a major question whether we could use a similar…
Latent Vector Recovery of Audio GANs
Andrew Keyes, Nicky Bayat, Vahid Reza Khazaie +1
Advanced Generative Adversarial Networks (GANs) are remarkable in generating intelligible audio from a random latent vector. In this paper, we examine the task of recovering the la…
Inverse mapping of face GANs
Nicky Bayat, Vahid Reza Khazaie, Yalda Mohsenzadeh
Generative adversarial networks (GANs) synthesize realistic images from a random latent vector. While many studies have explored various training configurations and architectures f…
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
Radoslaw Martin Cichy, Gemma Roig, Alex Andonian +6
In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification…
Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture
Erfan Zangeneh, Mohammad Rahmati, Yalda Mohsenzadeh
We propose a novel couple mappings method for low resolution face recognition using deep convolutional neural networks (DCNNs). The proposed architecture consists of two branches o…