| The group loss for deep metric learning I Elezi, S Vascon, A Torcinovich, M Pelillo, L Leal-Taixé Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 66 | 2020 |
| A black-box adversarial attack for poisoning clustering AE Cinà, A Torcinovich, M Pelillo Pattern Recognition 122, 108306, 2022 | 49 | 2022 |
| Transductive label augmentation for improved deep network learning I Elezi, A Torcinovich, S Vascon, M Pelillo 2018 24th International Conference on Pattern Recognition (ICPR), 1432-1437, 2018 | 34 | 2018 |
| The group loss++: A deeper look into group loss for deep metric learning I Elezi, J Seidenschwarz, L Wagner, S Vascon, A Torcinovich, M Pelillo, ... IEEE transactions on pattern analysis and machine intelligence 45 (2), 2505-2518, 2022 | 14 | 2022 |
| Unsupervised domain adaptation using graph transduction games S Vascon, S Aslan, A Torcinovich, T van Laarhoven, E Marchiori, M Pelillo 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 12 | 2019 |
| On the interplay between strong regularity and graph densification M Fiorucci, A Torcinovich, M Curado, F Escolano, M Pelillo Graph-Based Representations in Pattern Recognition: 11th IAPR-TC-15 …, 2017 | 12 | 2017 |
| Jigsaw puzzle solving as a consistent labeling problem M Khoroshiltseva, B Vardi, A Torcinovich, A Traviglia, O Ben-Shahar, ... Computer Analysis of Images and Patterns: 19th International Conference …, 2021 | 5 | 2021 |
| Exploiting Context in Handwriting Recognition Using Trainable Relaxation Labeling S Ferro, A Torcinovich, A Traviglia, M Pelillo ICPRAM 2023 – 12th International Conference on Pattern Recognition …, 2023 | 1 | 2023 |
| A Computer Vision System for Monitoring Ice-Cream Freezers A Torcinovich, M Fratton, M Pelillo, A Pravato, A Roncato Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 1 | 2017 |
| Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labeling S Ferro, A Torcinovich, A Traviglia, M Pelillo arXiv preprint arXiv:2409.05699, 2024 | | 2024 |
| Measuring Orthogonality in Representations of Generative Models RC Geyer, A Torcinovich, JB Carvalho, A Meyer, JM Buhmann arXiv preprint arXiv:2407.03728, 2024 | | 2024 |
| Video Analytics for Volleyball: Preliminary Results and Future Prospects of the 5VREAL Project A Rosani, I Donadello, M Calvanese, A Torcinovich, G Di Fatta, M Montali, ... ITAL-IA 3762, 271-276, 2024 | | 2024 |
| A Note on the KKT Points for the Motzkin-Straus Program G Beretta, A Torcinovich, M Pelillo arXiv preprint arXiv:2305.08519, 2023 | | 2023 |
| Machine Learning Algorithm for the Scansion of Old Saxon Poetry I Miani, M Buzzoni, G Lebani, A Torcinovich Umanistica Digitale, 284-289, 2023 | | 2023 |
| Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving B Vardi, A Torcinovich, M Khoroshiltseva, M Pelillo, O Ben-Shahar VISAPP 2023 – 18th International Conference on Computer Vision Theory and …, 2023 | | 2023 |
| AIDA-Antennas diagnostics enhancement by combined use of AI and experts' knowledge C Brighenti, R Cagnato, G Farinati, A Brighenti, V Schena, A Carletti, ... Proceedings of the International Astronautical Congress, IAC 2022, 2022 | | 2022 |
| Using Contextual Information In Weakly Supervised Learning: Toward the integration of contextual and deep learningapproaches, to address weakly supervised tasks A Torcinovich Università Ca'Foscari Venezia, 2021 | | 2021 |
Marcello PelilloProfessor of Computer Science, FIEEE, FIAPR, FAAIA, Ca' Foscari University of VeniceVerified email at dsi.unive.it
