82 citations · 356 across the 60 of their papers we have counts for
10 papers · 1 filter
Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realism
Georgios Milis, Panagiotis P. Filntisis, Anastasios Roussos +1
Recent advances in deep learning for sequential data have given rise to fast and powerful models that produce realistic videos of talking humans. The state of the art in talking fa…
Feather: An Elegant Solution to Effective DNN Sparsification
Athanasios Glentis Georgoulakis, George Retsinas, Petros Maragos
Neural Network pruning is an increasingly popular way for producing compact and efficient models, suitable for resource-limited environments, while preserving high performance. Whi…
Pre-training Music Classification Models via Music Source Separation
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
In this paper, we study whether music source separation can be used as a pre-training strategy for music representation learning, targeted at music classification tasks. To this en…
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras
Ioannis Kordonis, Emmanouil Theodosis, George Retsinas +1
Matrix Factorization (MF) has found numerous applications in Machine Learning and Data Mining, including collaborative filtering recommendation systems, dimensionality reduction, d…
Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
In this paper, we investigate the emotion manipulation capabilities of diffusion models with "in-the-wild" images, a rather unexplored application area relative to the vast and rap…
Revisiting Tropical Polynomial Division: Theory, Algorithms and Application to Neural Networks
Ioannis Kordonis, Petros Maragos
Tropical geometry has recently found several applications in the analysis of neural networks with piecewise linear activation functions. This paper presents a new look at the probl…
ViDaS Video Depth-aware Saliency Network
Ioanna Diamanti, Antigoni Tsiami, Petros Koutras +1
We introduce ViDaS, a two-stream, fully convolutional Video, Depth-Aware Saliency network to address the problem of attention modeling ``in-the-wild", via saliency prediction in vi…
OVeNet: Offset Vector Network for Semantic Segmentation
Stamatis Alexandropoulos, Christos Sakaridis, Petros Maragos
Semantic segmentation is a fundamental task in visual scene understanding. We focus on the supervised setting, where ground-truth semantic annotations are available. Based on knowl…
Medical Face Masks and Emotion Recognition from the Body: Insights from a Deep Learning Perspective
Nikolaos Kegkeroglou, Panagiotis P. Filntisis, Petros Maragos
The COVID-19 pandemic has undoubtedly changed the standards and affected all aspects of our lives, especially social communication. It has forced people to extensively wear medical…
Multi-Source Contrastive Learning from Musical Audio
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
Contrastive learning constitutes an emerging branch of self-supervised learning that leverages large amounts of unlabeled data, by learning a latent space, where pairs of different…