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20172025
most citedImproving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

297 citations · 434 across the 14 of their papers we have counts for

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cs.CV2021

Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach

Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou

The recent advances in 3D sensing technology have made possible the capture of point clouds in significantly high resolution. However, increased detail usually comes at the expense…

cs.CV2020

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

Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris +8

Face recognition is a widely accepted biometric verification tool, as the face contains a lot of information about the identity of a person. In this study, a 2-step neural-based pi…

cs.CV2020

Learning to Generate Customized Dynamic 3D Facial Expressions

Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis +3

Recent advances in deep learning have significantly pushed the state-of-the-art in photorealistic video animation given a single image. In this paper, we extrapolate those advances…

cs.CV2019★ 40 cited

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

Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis +2

Generative models for 3D geometric data arise in many important applications in 3D computer vision and graphics. In this paper, we focus on 3D deformable shapes that share a common…

cs.CV2017★ 11 cited

Multimodal Visual Concept Learning with Weakly Supervised Techniques

Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi +1

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…