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Giorgos Bouritsas
Giorgos Bouritsas
Postdoctoral researcher, Archimedes AI Unit / Athena Research Center
在 imperial.ac.uk 的电子邮件经过验证
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引用次数
引用次数
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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
3912020
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
1732019
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
852021
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
762020
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
222019
Revisiting point cloud simplification: A learnable feature preserving approach
RA Potamias, G Bouritsas, S Zafeiriou
European Conference on Computer Vision, 586-603, 2022
202022
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
202021
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
192020
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
122018
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
82021
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
62021
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
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
52022
Improving graph neural network expressivity via subgraph isomorphism counting, 2021
G Bouritsas, F Frasca, S Zafeiriou, MM Bronstein
URL https://openreview. net/forum, 2020
52020
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
42021
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
22019
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
12022
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
Neural function approximation on graphs: shape modelling, graph discrimination & compression
G Bouritsas
Imperial College London, 2023
2023
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