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
521 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
190 2019 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
121 2021 GG Chrysos, S Moschoglou, G Bouritsas, J Deng, Y Panagakis, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
90 2020 Revisiting point cloud simplification: A learnable feature preserving approach RA Potamias, G Bouritsas, S Zafeiriou
European conference on computer vision, 586-603, 2022
30 2022 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
25 2020 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 and …, 2019
25 2019 Partition and Code: learning how to compress graphs G Bouritsas, A Loukas, N Karalias, MM Bronstein
NeurIPS 2021, 2021
20 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 Pattern …, 2018
13 2018 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
10 2022 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
9 2021 Scale Equivariant Graph Metanetworks I Kalogeropoulos, G Bouritsas, Y Panagakis
NeurIPS 2024, 2024
7 2024 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
7 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
6 2021 UPC system for the 2016 MediaEval multimodal person discovery in broadcast TV task MA India, G Martí-Juan, C Cortillas, G Bouritsas, E Sayrol, ...
MediaEval 2016, 2016
6 * 2016 Improving graph neural network expressivity via subgraph isomorphism counting, 2021 G Bouritsas, F Frasca, S Zafeiriou, MM Bronstein
URL https://openreview. net/forum, 2020
5 2020 A 3D clinical face phenotype space of genetic syndromes using a triplet-based singular geometric autoencoder SS Mahdi, E Caldeira, H Matthews, M Vanneste, N Nauwelaers, M Yuan, ...
Ieee Access, 2024
2 2024 Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses P Koromilas, G Bouritsas, T Giannakopoulos, M Nicolaou, Y Panagakis
ICML 2024, 2024
2 2024 Towards generalizable particle picking in Cryo-EM images by leveraging Masked AutoEncoders A Zamanos, P Koromilas, G Bouritsas, PL Kastritis, Y Panagakis
ICML 2024 Workshop on Efficient and Accessible Foundation Models for …, 2024
2 2024 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
2 2019 
Stefanos ZafeiriouProfessor, Imperial College LondonПідтверджена електронна адреса в imperial.ac.uk
