Giorgos Bouritsas
Giorgos Bouritsas
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Cited by
Improving graph neural network expressivity via subgraph isomorphism counting
G Bouritsas, F Frasca, S Zafeiriou, MM Bronstein
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
G Bouritsas, S Bokhnyak, S Ploumpis, M Bronstein, S Zafeiriou
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019, 2019
nets: Deep Polynomial Neural Networks
GG Chrysos, S Moschoglou, G Bouritsas, J Deng, Y Panagakis, ...
Proceedings of the IEEE Conference on Computer Vision and Patterná…, 2020
Deep polynomial neural networks
GG Chrysos, S Moschoglou, G Bouritsas, J Deng, Y Panagakis, ...
IEEE transactions on pattern analysis and machine intelligence 44 (8), 4021-4034, 2021
Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks
G Bouritsas, S Daveas, A Danelakis, C Rizogiannis, SCA Thomopoulos
Proceedings of the 16th IEEE International Conference on Advanced Video andá…, 2019
Learning to Generate Customized Dynamic 3D Facial Expressions
RA Potamias, J Zheng, S Ploumpis, G Bouritsas, E Ververas, S Zafeiriou
European Conference on Computer Vision (ECCV), 2020
Partition and Code: learning how to compress graphs
G Bouritsas, A Loukas, N Karalias, MM Bronstein
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
Multimodal visual concept learning with weakly supervised techniques
G Bouritsas, P Koutras, A Zlatintsi, P Maragos
Proceedings of the IEEE Conference on Computer Vision and Patterná…, 2018
UPC system for the 2016 MediaEval multimodal person discovery in broadcast TV task
MA India, G MartÝ-Juan, C Cortillas, G Bouritsas, E Sayrol, ...
MediaEval 2016, 2016
Revisiting point cloud simplification: A learnable feature preserving approach
RA Potamias, G Bouritsas, S Zafeiriou
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israelá…, 2022
3D facial matching by spiral convolutional metric learning and a biometric fusion-net of demographic properties
SS Mahdi, N Nauwelaers, P Joris, G Bouritsas, S Gong, S Bokhnyak, ...
2020 25th International Conference on Pattern Recognition (ICPR), 1757-1764, 2021
Generative geometric neural networks for 3d shape modelling
M Bronstein, S Gong, M Bahri, G Bouritsas, S Zafeiriou, S Bokhnyak
US Patent App. 16/869,294, 2021
Matching 3D facial shape to demographic properties by geometric metric learning: a part-based approach
SS Mahdi, N Nauwelaers, P Joris, G Bouritsas, S Gong, S Walsh, ...
IEEE Transactions on Biometrics, Behavior, and Identity Science 4 (2), 163-172, 2021
Multi-Scale Part-Based Syndrome Classification of 3D Facial Images
SS Mahdi, H Matthews, N Nauwelaers, M Vanneste, S Gong, G Bouritsas, ...
Ieee Access 10, 23450-23462, 2022
Learning to Represent & Generate Meshes with Spiral Convolutions
S Bokhnyak, G Bouritsas, M Bronstein, S Zafeiriou
ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019
A 3D Clinical Face Phenotype Space of Genetic Syndromes using a Triplet-Based Singular Geometric Autoencoder
SS Mahdi, H Matthews, M Vanneste, N Nauwelaers, S Gong, G Bouritsas, ...
bioRxiv, 2022.12. 27.521999, 2022
Πολυτροπική κατανόηση βίντεο με τεχνικές ασθενώς επιβλεπόμενης μάθησης
Γ Μπουρίτσας
Revisiting Point Cloud Simplification: Supplementary Material
RA Potamias, G Bouritsas, S Zafeiriou
Supplementary of ‘Πnets: Deep Polynomial Neural Networks’
GG Chrysos, S Moschoglou, G Bouritsas, Y Panagakis, J Deng, ...
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