Giorgos Bouritsas | DeepAI

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∙ 09/30/2021

Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach

The recent advances in 3D sensing technology have made possible the capt...

2 Rolandos Alexandros Potamias, et al. ∙

∙ 07/05/2021

Partition and Code: learning how to compress graphs

Can we use machine learning to compress graph data? The absence of order...

67 Giorgos Bouritsas, et al. ∙

∙ 09/10/2020

3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties

Face recognition is a widely accepted biometric verification tool, as th...

1 Soha Sadat Mahdi, et al. ∙

∙ 07/19/2020

Learning to Generate Customized Dynamic 3D Facial Expressions

Recent advances in deep learning have significantly pushed the state-of-...

14 Rolandos Alexandros Potamias, et al. ∙

∙ 06/20/2020

Deep Polynomial Neural Networks

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

66 Grigorios Chrysos, et al. ∙

∙ 06/16/2020

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

While Graph Neural Networks (GNNs) have achieved remarkable results in a...

16 Giorgos Bouritsas, et al. ∙

∙ 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. ∙

∙ 07/12/2019

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

Detection of anomalous trajectories is an important problem with potenti...

2 Giorgos Bouritsas, et al. ∙

∙ 05/08/2019

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation

Generative models for 3D geometric data arise in many important applicat...

26 Giorgos Bouritsas, et al. ∙

∙ 12/03/2017

Multimodal Visual Concept Learning with Weakly Supervised Techniques

Despite the availability of a huge amount of video data accompanied by d...

0 Giorgos Bouritsas, et al. ∙

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