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
349 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
166 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
75 2021 nets: Deep Polynomial Neural NetworksGG Chrysos, S Moschoglou, G Bouritsas, J Deng, Y Panagakis, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
70 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
23 2019 Revisiting point cloud simplification: A learnable feature preserving approach RA Potamias, G Bouritsas, S Zafeiriou
European Conference on Computer Vision, 586-603, 2022
18 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
18 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
17 2021 Improving graph neural network expressivity via subgraph isomorphism counting, 2021 G Bouritsas, F Frasca, S Zafeiriou, MM Bronstein
URL https://openreview. net/forum, 2020
12 2020 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
11 2018 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
7 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 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
5 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
4 2022 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
4 2021 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 Neural function approximation on graphs: shape modelling, graph discrimination & compression G Bouritsas
Imperial College London, 2023
2023 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
2022 Πολυτροπική κατανόηση βίντεο με τεχνικές ασθενώς επιβλεπόμενης μάθησης Γ Μπουρίτσας
2017 Revisiting Point Cloud Simplification: Supplementary Material RA Potamias, G Bouritsas, S Zafeiriou