UPC System for the 2016 MediaEval Multimodal Person Discovery in Broadcast TV task. - Miquel Angel India; Gerard Martí; Carla Cortillas; Giorgos Bouritsas; Elisa Sayrol; Josep Ramon Morros; Javier Hernando (MediaEval, 2016)

Multimodal Visual Concept Learning With Weakly Supervised Techniques. - Giorgos Bouritsas; Petros Koutras; Athanasia Zlatintsi; Petros Maragos (CVPR, 2018)

Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks. - Giorgos Bouritsas; Stelios Daveas; Antonios Danelakis; Stelios C. A. Thomopoulos (AVSS, 2019)

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation. - Giorgos Bouritsas; Sergiy Bokhnyak; Stylianos Ploumpis; Stefanos Zafeiriou; Michael M. Bronstein (ICCV, 2019)

Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks. - Giorgos Bouritsas; Stelios Daveas; Antonios Danelakis; Constantinos Rizogiannis; Stelios C. A. Thomopoulos (CoRR, 2019)

P-nets: Deep Polynomial Neural Networks. - Grigorios G. Chrysos; Stylianos Moschoglou; Giorgos Bouritsas; Yannis Panagakis; Jiankang Deng; Stefanos Zafeiriou (CVPR, 2020)

Learning to Generate Customized Dynamic 3D Facial Expressions. - Rolandos Alexandros Potamias; Jiali Zheng; Stylianos Ploumpis; Giorgos Bouritsas; Evangelos Ververas; Stefanos Zafeiriou (ECCV (29), 2020)

3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties. - Soha Sadat Mahdi; Nele Nauwelaers; Philip Joris; Giorgos Bouritsas; Shunwang Gong; Sergiy Bokhnyak; Susan Walsh; Mark D. Shriver; Michael M. Bronstein; Peter Claes (ICPR, 2020)

Π-nets: Deep Polynomial Neural Networks. - Grigorios G. Chrysos; Stylianos Moschoglou; Giorgos Bouritsas; Jiankang Deng; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2020)

Partition and Code: learning how to compress graphs. - Giorgos Bouritsas; Andreas Loukas; Nikolaos Karalias; Michael M. Bronstein (NeurIPS, 2021)

Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach. - Rolandos Alexandros Potamias; Giorgos Bouritsas; Stefanos Zafeiriou (ECCV (2), 2022)

Multi-Scale Part-Based Syndrome Classification of 3D Facial Images. - Soha Sadat Mahdi; Harold S. Matthews; Nele Nauwelaers; Michiel Vanneste; Shunwang Gong; Giorgos Bouritsas; Gareth S. Baynam; Peter Hammond; Richard A. Spritz; Ophir D. Klein; Benedikt Hallgrímsson; Hilde Peeters; et al. (IEEE Access, 2022)

Deep Polynomial Neural Networks. - Grigorios G. Chrysos; Stylianos Moschoglou; Giorgos Bouritsas; Jiankang Deng; Yannis Panagakis; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Matching 3D Facial Shape to Demographic Properties by Geometric Metric Learning: A Part-Based Approach. - Soha Sadat Mahdi; Nele Nauwelaers; Philip Joris; Giorgos Bouritsas; Shunwang Gong; Susan Walsh; Mark D. Shriver; Michael M. Bronstein; Peter Claes (IEEE Trans. Biom. Behav. Identity Sci., 2022)

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting. - Giorgos Bouritsas; Fabrizio Frasca; Stefanos Zafeiriou; Michael M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. - Panagiotis Koromilas; Giorgos Bouritsas; Theodoros Giannakopoulos; Mihalis Nicolaou; Yannis Panagakis (ICML, 2024)

Scale Equivariant Graph Metanetworks. - Ioannis Kalogeropoulos; Giorgos Bouritsas; Yannis Panagakis (NeurIPS, 2024)

A 3D Clinical Face Phenotype Space of Genetic Syndromes Using a Triplet-Based Singular Geometric Autoencoder. - Soha Sadat Mahdi; Eduarda Caldeira; Harold S. Matthews; Michiel Vanneste; Nele Nauwelaers; Meng Yuan; Giorgos Bouritsas; Gareth S. Baynam; Peter Hammond; Richard A. Spritz; Ophir D. Klein; Michael M. Bronstein; et al. (IEEE Access, 2025)

A Principled Framework for Multi-View Contrastive Learning. - Panagiotis Koromilas; Efthymios Georgiou; Giorgos Bouritsas; Theodoros Giannakopoulos; Mihalis A. Nicolaou; Yannis Panagakis (CoRR, 2025)