Search Results for author: Giorgos Bouritsas

Found 10 papers, 6 papers with code

Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach

no code implementations30 Sep 2021 Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou

In an attempt to alleviate this computational burden, we propose a fast point cloud simplification method by learning to sample salient points.

Learning to Generate Customized Dynamic 3D Facial Expressions

no code implementations ECCV 2020 Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou

To this end, in this study we employ a deep mesh encoder-decoder like architecture to synthesize realistic high resolution facial expressions by using a single neutral frame along with an expression identification.

Deep Polynomial Neural Networks

3 code implementations20 Jun 2020 Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou

We introduce three tensor decompositions that significantly reduce the number of parameters and show how they can be efficiently implemented by hierarchical neural networks.

Conditional Image Generation Face Identification +4

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

2 code implementations16 Jun 2020 Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou, Michael M. Bronstein

It has been shown that the expressive power of standard GNNs is bounded by the Weisfeiler-Leman (WL) graph isomorphism test, from which they inherit proven limitations such as the inability to detect and count graph substructures.

Graph Classification Graph Regression

$Π-$nets: Deep Polynomial Neural Networks

2 code implementations8 Mar 2020 Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou

Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning.

Audio Classification Graph Representation Learning +2

Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks

no code implementations12 Jul 2019 Giorgos Bouritsas, Stelios Daveas, Antonios Danelakis, Constantinos Rizogiannis, Stelios C. A. Thomopoulos

Detection of anomalous trajectories is an important problem with potential applications to various domains, such as video surveillance, risk assessment, vessel monitoring and high-energy physics.

Anomaly Detection Time Series +1

Multimodal Visual Concept Learning with Weakly Supervised Techniques

1 code implementation CVPR 2018 Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos

Despite the availability of a huge amount of video data accompanied by descriptive texts, it is not always easy to exploit the information contained in natural language in order to automatically recognize video concepts.

Action Recognition Descriptive +4

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