Giorgos Bouritsas

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Genetically Optimized

Anomaly Detection

Metric Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis
Scale Equivariant Graph Metanetworks. CoRR (2024)
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 (2024)
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) (2023)
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 (2022)
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) (2022)
Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach. ECCV (2) (2022)
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) (2022)
Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael M. Bronstein
Partition and Code: learning how to compress graphs. CoRR (2021)
Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael M. Bronstein
Partition and Code: learning how to compress graphs. NeurIPS (2021)
Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach. CoRR (2021)
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou
P-nets: Deep Polynomial Neural Networks. CVPR (2020)
Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Deep Polynomial Neural Networks. CoRR (2020)
Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou, Michael M. Bronstein
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting. CoRR (2020)
Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou
Learning to Generate Customized Dynamic 3D Facial Expressions. ECCV (29) (2020)
Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou
Learning to Generate Customized Dynamic 3D Facial Expressions. CoRR (2020)
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)
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 (2020)
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Π-nets: Deep Polynomial Neural Networks. CoRR (2020)
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)
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)
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 (2019)
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 (2019)
Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos
Multimodal Visual Concept Learning With Weakly Supervised Techniques. CVPR (2018)
Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos
Multimodal Visual Concept Learning with Weakly Supervised Techniques. CoRR (2017)
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)