Yannis Panagakis

research

∙ 09/20/2023

Investigating Personalization Methods in Text to Music Generation

In this work, we investigate the personalization of text-to-music diffus...

0 Manos Plitsis, et al. ∙

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...

0 Triantafyllos Kefalas, et al. ∙

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...

0 Triantafyllos Kefalas, et al. ∙

research

∙ 05/23/2023

Parts of Speech-Grounded Subspaces in Vision-Language Models

Latent image representations arising from vision-language models have pr...

0 James Oldfield, et al. ∙

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...

0 Vicky Kouni, et al. ∙

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...

0 Nikos Kostagiolas, et al. ∙

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 ...

7 James Oldfield, et al. ∙

research

∙ 12/24/2021

Cluster-guided Image Synthesis with Unconditional Models

Generative Adversarial Networks (GANs) are the driving force behind the ...

6 Markos Georgopoulos, et al. ∙

research

∙ 11/23/2021

Tensor Component Analysis for Interpreting the Latent Space of GANs

This paper addresses the problem of finding interpretable directions in ...

10 James Oldfield, et al. ∙

research

∙ 10/26/2021

Defensive Tensorization

We propose defensive tensorization, an adversarial defence technique tha...

4 Adrian Bulat, et al. ∙

research

∙ 10/19/2021

EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters

Patterns of brain activity are associated with different brain processes...

0 Siegfried Ludwig, et al. ∙

research

∙ 07/07/2021

Tensor Methods in Computer Vision and Deep Learning

Tensors, or multidimensional arrays, are data structures that can natura...

12 Yannis Panagakis, et al. ∙

research

∙ 04/16/2021

Polynomial Networks in Deep Classifiers

Deep neural networks have been the driving force behind the success in c...

0 Grigorios G. Chrysos, et al. ∙

research

∙ 04/11/2021

CoPE: Conditional image generation using Polynomial Expansions

Generative modeling has evolved to a notable field of machine learning. ...

0 Grigorios G. Chrysos, et al. ∙

research

∙ 09/09/2020

Multilinear Latent Conditioning for Generating Unseen Attribute Combinations

Deep generative models rely on their inductive bias to facilitate genera...

15 Markos Georgopoulos, et al. ∙

research

∙ 06/20/2020

Deep Polynomial Neural Networks

Deep Convolutional Neural Networks (DCNNs) are currently the method of c...

66 Grigorios Chrysos, et al. ∙

research

∙ 06/06/2020

Enhancing Facial Data Diversity with Style-based Face Aging

A significant limiting factor in training fair classifiers relates to th...

3 Markos Georgopoulos, et al. ∙

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...

14 Markos Georgopoulos, et al. ∙

research

∙ 03/08/2020

Π-nets: Deep Polynomial Neural Networks

Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...

27 Grigorios G. Chrysos, et al. ∙

research

∙ 12/12/2019

Speech-driven facial animation using polynomial fusion of features

Speech-driven facial animation involves using a speech signal to generat...

15 Triantafyllos Kefalas, et al. ∙

research

∙ 08/19/2019

PolyGAN: High-Order Polynomial Generators

Generative Adversarial Networks (GANs) have become the gold standard whe...

9 Grigorios Chrysos, et al. ∙

research

∙ 06/14/2019

Efficient N-Dimensional Convolutions via Higher-Order Factorization

With the unprecedented success of deep convolutional neural networks cam...

3 Jean Kossaifi, et al. ∙

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...

12 James Oldfield, et al. ∙

research

∙ 02/27/2019

Stochastically Rank-Regularized Tensor Regression Networks

Over-parametrization of deep neural networks has recently been shown to ...

83 Arinbjörn Kolbeinsson, et al. ∙

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...

8 Jean Kossaifi, et al. ∙

research

∙ 02/13/2018

Modelling of Facial Aging and Kinship: A Survey

Computational facial models that capture properties of facial cues relat...

0 Markos Georgopoulos, et al. ∙

research

∙ 01/20/2018

Visual Data Augmentation through Learning

The rapid progress in machine learning methods has been empowered by i) ...

0 Grigorios G. Chrysos, et al. ∙

research

∙ 01/20/2018

Side Information for Face Completion: a Robust PCA Approach

Robust principal component analysis (RPCA) is a powerful method for lear...

0 Niannan Xue, et al. ∙

research

∙ 01/18/2018

Robust Kronecker Component Analysis

Dictionary learning and component analysis models are fundamental in lea...

0 Mehdi Bahri, et al. ∙

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...

0 Stylianos Moschoglou, et al. ∙

research

∙ 12/03/2017

GAGAN: Geometry-Aware Generative Adverserial Networks

Deep generative models learned through adversarial training have become ...

0 Jean Kossaifi, et al. ∙

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...

0 Mengjiao Wang, et al. ∙

research

∙ 09/14/2017

Informed Non-convex Robust Principal Component Analysis with Features

We revisit the problem of robust principal component analysis with featu...

0 Niannan Xue, et al. ∙

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...

0 Mehdi Bahri, et al. ∙

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...

0 Niannan Xue, et al. ∙

research

∙ 01/19/2017

3D Face Morphable Models "In-the-Wild"

3D Morphable Models (3DMMs) are powerful statistical models of 3D facial...

0 James Booth, et al. ∙

research

∙ 02/03/2015

Face frontalization for Alignment and Recognition

Recently, it was shown that excellent results can be achieved in both fa...

0 Christos Sagonas, et al. ∙

Yannis Panagakis

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