49 citations · 104 across the 9 of their papers we have counts for
10 papers
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez +1
We present a method for finding paths in a deep generative model's latent space that can maximally vary one set of image features while holding others constant. Crucially, unlike p…
Leveraging The Topological Consistencies of Learning in Deep Neural Networks
Stuart Synakowski, Fabian Benitez-Quiroz, Aleix M. Martinez
Recently, methods have been developed to accurately predict the testing performance of a Deep Neural Network (DNN) on a particular task, given statistics of its underlying topologi…
Diamond in the rough: Improving image realism by traversing the GAN latent space
Jeffrey Wen, Fabian Benitez-Quiroz, Qianli Feng +1
In just a few years, the photo-realism of images synthesized by Generative Adversarial Networks (GANs) has gone from somewhat reasonable to almost perfect largely by increasing the…
Automatic selection of eye tracking variables in visual categorization in adults and infants
Samuel Rivera, Catherine A. Best, Hyungwook Yim +3
Visual categorization and learning of visual categories exhibit early onset, however the underlying mechanisms of early categorization are not well understood. The main limiting fa…
Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent
Stuart Synakowski, Qianli Feng, Aleix Martinez
Computer vision algorithms performance are near or superior to humans in the visual problems including object recognition (especially those of fine-grained categories), segmentatio…
Computing the Testing Error without a Testing Set
Ciprian Corneanu, Meysam Madadi, Sergio Escalera +1
Deep Neural Networks (DNNs) have revolutionized computer vision. We now have DNNs that achieve top (performance) results in many problems, including object recognition, facial expr…
GANimation: Anatomically-aware Facial Animation from a Single Image
Albert Pumarola, Antonio Agudo, Aleix M. Martinez +2
Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis. The most successful architecture is StarGAN, that c…
Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild
Ramprakash Srinivasan, Aleix M. Martinez
Automatic recognition of emotion from facial expressions is an intense area of research, with a potentially long list of important application. Yet, the study of emotion requires k…
EmotioNet Challenge: Recognition of facial expressions of emotion in the wild
C. Fabian Benitez-Quiroz, Ramprakash Srinivasan, Qianli Feng +2
This paper details the methodology and results of the EmotioNet challenge. This challenge is the first to test the ability of computer vision algorithms in the automatic analysis o…
A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image
Ruiqi Zhao, Yan Wang, Aleix Martinez
Three-dimensional shape reconstruction of 2D landmark points on a single image is a hallmark of human vision, but is a task that has been proven difficult for computer vision algor…