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09/20/2023
Investigating Personalization Methods in Text to Music Generation
In this work, we investigate the personalization of text-to-music diffus...
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07/31/2023
Audio-visual video-to-speech synthesis with synthesized input audio
Video-to-speech synthesis involves reconstructing the speech signal of a...
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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...
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05/23/2023
Parts of Speech-Grounded Subspaces in Vision-Language Models
Latent image representations arising from vision-language models have pr...
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03/09/2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing
Unfolding networks have shown promising results in the Compressed Sensin...
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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...
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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 ...
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12/24/2021
Cluster-guided Image Synthesis with Unconditional Models
Generative Adversarial Networks (GANs) are the driving force behind the ...
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11/23/2021
Tensor Component Analysis for Interpreting the Latent Space of GANs
This paper addresses the problem of finding interpretable directions in ...
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10/26/2021
Defensive Tensorization
We propose defensive tensorization, an adversarial defence technique tha...
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10/19/2021
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters
Patterns of brain activity are associated with different brain processes...
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07/07/2021
Tensor Methods in Computer Vision and Deep Learning
Tensors, or multidimensional arrays, are data structures that can natura...
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04/16/2021
Polynomial Networks in Deep Classifiers
Deep neural networks have been the driving force behind the success in c...
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04/11/2021
CoPE: Conditional image generation using Polynomial Expansions
Generative modeling has evolved to a notable field of machine learning. ...
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09/09/2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Deep generative models rely on their inductive bias to facilitate genera...
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06/20/2020
Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) are currently the method of c...
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06/06/2020
Enhancing Facial Data Diversity with Style-based Face Aging
A significant limiting factor in training fair classifiers relates to th...
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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...
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03/08/2020
Î -nets: Deep Polynomial Neural Networks
Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...
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12/12/2019
Speech-driven facial animation using polynomial fusion of features
Speech-driven facial animation involves using a speech signal to generat...
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08/19/2019
PolyGAN: High-Order Polynomial Generators
Generative Adversarial Networks (GANs) have become the gold standard whe...
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06/14/2019
Efficient N-Dimensional Convolutions via Higher-Order Factorization
With the unprecedented success of deep convolutional neural networks cam...
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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...
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02/27/2019
Stochastically Rank-Regularized Tensor Regression Networks
Over-parametrization of deep neural networks has recently been shown to ...
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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...
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02/13/2018
Modelling of Facial Aging and Kinship: A Survey
Computational facial models that capture properties of facial cues relat...
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01/20/2018
Visual Data Augmentation through Learning
The rapid progress in machine learning methods has been empowered by i) ...
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01/20/2018
Side Information for Face Completion: a Robust PCA Approach
Robust principal component analysis (RPCA) is a powerful method for lear...
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01/18/2018
Robust Kronecker Component Analysis
Dictionary learning and component analysis models are fundamental in lea...
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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...
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12/03/2017
GAGAN: Geometry-Aware Generative Adverserial Networks
Deep generative models learned through adversarial training have become ...
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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...
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09/14/2017
Informed Non-convex Robust Principal Component Analysis with Features
We revisit the problem of robust principal component analysis with featu...
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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...
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02/02/2017
Side Information in Robust Principal Component Analysis: Algorithms and Applications
Robust Principal Component Analysis (RPCA) aims at recovering a low-rank...
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01/19/2017
3D Face Morphable Models "In-the-Wild"
3D Morphable Models (3DMMs) are powerful statistical models of 3D facial...
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02/03/2015
