research
∙
09/20/2023
Investigating Personalization Methods in Text to Music Generation
In this work, we investigate the personalization of text-to-music diffus...
share
research
∙
07/31/2023
Audio-visual video-to-speech synthesis with synthesized input audio
Video-to-speech synthesis involves reconstructing the speech signal of a...
research
∙
06/27/2023
Large-scale unsupervised audio pre-training for video-to-speech synthesis
Video-to-speech synthesis is the task of reconstructing the speech signa...
research
∙
05/23/2023
Parts of Speech-Grounded Subspaces in Vision-Language Models
Latent image representations arising from vision-language models have pr...
research
∙
03/09/2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing
Unfolding networks have shown promising results in the Compressed Sensin...
research
∙
08/03/2022
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models
In recent years, considerable advancements have been made in the area of...
research
∙
05/31/2022
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
Recent advances in the understanding of Generative Adversarial Networks ...
research
∙
12/24/2021
Cluster-guided Image Synthesis with Unconditional Models
Generative Adversarial Networks (GANs) are the driving force behind the ...
research
∙
11/23/2021
Tensor Component Analysis for Interpreting the Latent Space of GANs
This paper addresses the problem of finding interpretable directions in ...
research
∙
10/26/2021
Defensive Tensorization
We propose defensive tensorization, an adversarial defence technique tha...
research
∙
10/19/2021
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters
Patterns of brain activity are associated with different brain processes...
research
∙
07/07/2021
Tensor Methods in Computer Vision and Deep Learning
Tensors, or multidimensional arrays, are data structures that can natura...
research
∙
04/16/2021
Polynomial Networks in Deep Classifiers
Deep neural networks have been the driving force behind the success in c...
research
∙
04/11/2021
CoPE: Conditional image generation using Polynomial Expansions
Generative modeling has evolved to a notable field of machine learning. ...
research
∙
09/09/2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Deep generative models rely on their inductive bias to facilitate genera...
research
∙
06/20/2020
Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) are currently the method of c...
research
∙
06/06/2020
Enhancing Facial Data Diversity with Style-based Face Aging
A significant limiting factor in training fair classifiers relates to th...
research
∙
05/15/2020
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study
Deep learning-based methods have pushed the limits of the state-of-the-a...
research
∙
03/08/2020
Π-nets: Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...
research
∙
12/12/2019
Speech-driven facial animation using polynomial fusion of features
Speech-driven facial animation involves using a speech signal to generat...
research
∙
08/19/2019
PolyGAN: High-Order Polynomial Generators
Generative Adversarial Networks (GANs) have become the gold standard whe...
research
∙
06/14/2019
Efficient N-Dimensional Convolutions via Higher-Order Factorization
With the unprecedented success of deep convolutional neural networks cam...
research
∙
04/09/2019
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes
Recently, a multitude of methods for image-to-image translation has demo...
research
∙
02/27/2019
Stochastically Rank-Regularized Tensor Regression Networks
Over-parametrization of deep neural networks has recently been shown to ...
research
∙
01/09/2019
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
Natural human-computer interaction and audio-visual human behaviour sens...
research
∙
02/13/2018
Modelling of Facial Aging and Kinship: A Survey
Computational facial models that capture properties of facial cues relat...
research
∙
01/20/2018
Visual Data Augmentation through Learning
The rapid progress in machine learning methods has been empowered by i) ...
research
∙
01/20/2018
Side Information for Face Completion: a Robust PCA Approach
Robust principal component analysis (RPCA) is a powerful method for lear...
research
∙
01/18/2018
Robust Kronecker Component Analysis
Dictionary learning and component analysis models are fundamental in lea...
research
∙
12/15/2017
Multi-Attribute Robust Component Analysis for Facial UV Maps
Recently, due to the collection of large scale 3D face models, as well a...
research
∙
12/03/2017
GAGAN: Geometry-Aware Generative Adverserial Networks
Deep generative models learned through adversarial training have become ...
research
∙
11/28/2017
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations
Several factors contribute to the appearance of an object in a visual sc...
research
∙
09/14/2017
Informed Non-convex Robust Principal Component Analysis with Features
We revisit the problem of robust principal component analysis with featu...
research
∙
03/22/2017
Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling
Dictionary learning and component analysis are part of one of the most w...
research
∙
02/02/2017
Side Information in Robust Principal Component Analysis: Algorithms and Applications
Robust Principal Component Analysis (RPCA) aims at recovering a low-rank...
research
∙
01/19/2017
3D Face Morphable Models "In-the-Wild"
3D Morphable Models (3DMMs) are powerful statistical models of 3D facial...
research
∙
02/03/2015
