| 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 | 440 | 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 | 181 | 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 | 95 | 2021 |
| nets: Deep Polynomial Neural Networks GG Chrysos, S Moschoglou, G Bouritsas, J Deng, Y Panagakis, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 81 | 2020 |
| Revisiting point cloud simplification: A learnable feature preserving approach RA Potamias, G Bouritsas, S Zafeiriou European Conference on Computer Vision, 586-603, 2022 | 24 | 2022 |
| 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 | 22 | 2019 |
| 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 | 20 | 2021 |
| 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 | 20 | 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 | 12 | 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 | 8 | 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 | 7 | 2022 |
| 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 | 7* | 2016 |
| 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 |
| 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 | 6 | 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 | 5 | 2020 |
| 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 |
| 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 | 2 | 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 | 2 | 2019 |
| Scale Equivariant Graph Metanetworks I Kalogeropoulos, G Bouritsas, Y Panagakis arXiv preprint arXiv:2406.10685, 2024 | | 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 International Conference on Machine Learning (ICML'24), 2024 | | 2024 |
Stefanos ZafeiriouProfessor, Imperial College LondonVerified email at imperial.ac.uk
