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ORCIDGiorgos Bouritsas
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2020 – today
- 2024
[c10]Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis:
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. ICML 2024- [i12]Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis:
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. CoRR abs/2405.18045 (2024) - [i11]Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis:
Scale Equivariant Graph Metanetworks. CoRR abs/2406.10685 (2024) - 2023
- [j4]Giorgos Bouritsas
, Fabrizio Frasca, Stefanos Zafeiriou, Michael M. Bronstein:
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 657-668 (2023) - 2022
- [j3]Soha Sadat Mahdi, Harold Matthews, Nele Nauwelaers, Michiel Vanneste, Shunwang Gong, Giorgos Bouritsas, Gareth S. Baynam, Peter Hammond, Richard A. Spritz, Ophir D. Klein, Benedikt Hallgrímsson, Hilde Peeters, Michael M. Bronstein, Peter Claes:
Multi-Scale Part-Based Syndrome Classification of 3D Facial Images. IEEE Access 10: 23450-23462 (2022) - [j2]Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Deep Polynomial Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4021-4034 (2022) - [j1]Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris, Giorgos Bouritsas, Shunwang Gong, Susan Walsh, Mark D. Shriver, Michael M. Bronstein, Peter Claes:
Matching 3D Facial Shape to Demographic Properties by Geometric Metric Learning: A Part-Based Approach. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 163-172 (2022) - [c9]Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou:
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach. ECCV (2) 2022: 586-603 - 2021
- [c8]Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael M. Bronstein:
Partition and Code: learning how to compress graphs. NeurIPS 2021: 18603-18619 - [i10]Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael M. Bronstein:
Partition and Code: learning how to compress graphs. CoRR abs/2107.01952 (2021) - [i9]Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou:
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach. CoRR abs/2109.14982 (2021) - 2020
- [c7]Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou:
P-nets: Deep Polynomial Neural Networks. CVPR 2020: 7323-7333 - [c6]Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou:
Learning to Generate Customized Dynamic 3D Facial Expressions. ECCV (29) 2020: 278-294 - [c5]Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris, Giorgos Bouritsas, Shunwang Gong, Sergiy Bokhnyak, Susan Walsh, Mark D. Shriver, Michael M. Bronstein, Peter Claes:
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties. ICPR 2020: 1757-1764 - [i8]Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Π-nets: Deep Polynomial Neural Networks. CoRR abs/2003.03828 (2020) - [i7]Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou, Michael M. Bronstein:
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting. CoRR abs/2006.09252 (2020) - [i6]Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Deep Polynomial Neural Networks. CoRR abs/2006.13026 (2020) - [i5]Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou:
Learning to Generate Customized Dynamic 3D Facial Expressions. CoRR abs/2007.09805 (2020) - [i4]Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris, Giorgos Bouritsas, Shunwang Gong, Sergiy Bokhnyak, Susan Walsh, Mark D. Shriver, Michael M. Bronstein, Peter Claes:
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties. CoRR abs/2009.04746 (2020)
2010 – 2019
- 2019
- [c4]Giorgos Bouritsas, Stelios Daveas, Antonios Danelakis, Stelios C. A. Thomopoulos:
Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks. AVSS 2019: 1-8 - [c3]Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Stefanos Zafeiriou, Michael M. Bronstein:
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation. ICCV 2019: 7212-7221 - [i3]Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael M. Bronstein, Stefanos Zafeiriou:
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation. CoRR abs/1905.02876 (2019) - [i2]Giorgos Bouritsas, Stelios Daveas, Antonios Danelakis, Constantinos Rizogiannis, Stelios C. A. Thomopoulos:
Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks. CoRR abs/1907.05813 (2019) - 2018
- [c2]Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos:
Multimodal Visual Concept Learning With Weakly Supervised Techniques. CVPR 2018: 4914-4923 - 2017
- [i1]Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos:
Multimodal Visual Concept Learning with Weakly Supervised Techniques. CoRR abs/1712.00796 (2017) - 2016
- [c1]Miquel Angel India, Gerard Martí, Carla Cortillas, Giorgos Bouritsas, Elisa Sayrol, Josep Ramon Morros, Javier Hernando:
UPC System for the 2016 MediaEval Multimodal Person Discovery in Broadcast TV task. MediaEval 2016
Coauthor Index
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last updated on 2024-09-04 01:20 CEST by the dblp team
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