PELILLO Marcello

Position
Full Professor
Telephone
041 234 7588 / 041 234 8440
E-mail
pelillo@unive.it
Scientific sector (SSD)
INFORMATICA [INF/01]
Website
www.unive.it/persone/pelillo (personal record)
 http://www.dsi.unive.it/~pelillo
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino (edificio Alfa)
Room: office Z.B14 (Zeta B building)
Office
European Center for Living Technology (ECLT)
Research Institute
Research Institute for Complexity

Dati relazione

Periodo di riferimento
01/06/2017 - 31/05/2020
Afferenza
Dipartimento di Scienze Ambientali, Informatica e Statistica
Ruolo
Professori ordinari
A.A.InsegnamentoCodice Voto (max 4)Voto medio area (max 4)
2016/2017ALGORITMI E STRUTTURE DATICT03713.33.1
2016/2017ARTIFICIAL INTELLIGENCECM04723.63.1
2016/2017NETWORK SCIENCECM04793.33.1
2017/2018ALGORITMI E STRUTTURE DATICT03713.33.2
2017/2018ARTIFICIAL INTELLIGENCECM04723.63.2
2017/2018NETWORK SCIENCECM04793.73.2
2018/2019ALGORITMI E STRUTTURE DATICT03713.23.2
2018/2019ARTIFICIAL INTELLIGENCECM0472
2018/2019ARTIFICIAL INTELLIGENCE: MACHINE LEARNING AND PATTERN RECOGNITIONCM0492
2018/2019IMAGE AND VIDEO UNDERSTANDINGCM05243.13.2
Anno solareTipologiaTesi RelatoreTesi Correlatore
2017Corso di laurea3
2017Corso di laurea magistrale3
2018Corso di dottorato1
2018Corso di laurea1
2018Corso di laurea magistrale6
2019Corso di dottorato1
2019Corso di laurea magistrale4
  • AI4EU: A European AI On Demand Platform and Ecosystem
  • Hume-Nash Machines: Context-Aware Models of Learning and Recognition
  • MEMEX: MEMories and EXperiences for inclusive digital storytelling
  • REXlearn: Reliable and Explainable Adversarial Machine Learning
  • Digital Humanities
  • Fruizione multimediale dell'opera d'arte contemporanea
  • Game-theoretic models in machine learning
  • Similarity-based pattern analysis and recognition
  • Structural methods in computer vision and pattern recognition
  • Denitto, M.; Bicego, M.; Farinelli, A.; Vascon, S.; Pelillo, M. (2020), Biclustering with Dominant Sets in PATTERN RECOGNITION, vol. N/D (ISSN 0031-3203) (Articolo su rivista)
  • Zemene E.; Alemu L.T.; Pelillo M. (2019), Dominant Sets for 'Constrained' Image Segmentation in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 41, pp. 2438-2451 (ISSN 0162-8828) (Articolo su rivista)
  • Giulia Sandi, Sebastiano Vascon, Marcello Pelillo (2019), Hypergraph Isomorphism Using Association Hypergraphs in PATTERN RECOGNITION LETTERS, vol. N/D (ISSN 0167-8655) (Articolo su rivista)
  • Zemene, Eyasu; Tesfaye, Yonatan Tariku; Idrees, Haroon; Prati, Andrea; Pelillo, Marcello; Shah, Mubarak (2019), Large-Scale Image Geo-Localization Using Dominant Sets in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 41, pp. 148-161 (ISSN 0162-8828) (Articolo su rivista)
  • Yonatan Tariku Tesfaye, Eyasu Zemene, Andrea Prati, Marcello Pelillo, Mubarak Shah (2019), Multi-target Tracking in Multiple Non-overlapping Cameras Using Fast-Constrained Dominant Sets in INTERNATIONAL JOURNAL OF COMPUTER VISION, vol. 127, pp. 1303-1320 (ISSN 0920-5691) (Articolo su rivista)
  • Sebastiano Vascon; Marcello Pelillo (2019), Chapter 12 - Detecting conversational groups in images using clustering games , Multimodal Behavior Analysis in the Wild, Academic Press, pp. 247-267 (ISBN 978-0-12-814601-9) (Articolo su libro)
  • Vascon Sebastiano, Parin Ylenia, Annavini Eis, D'Andola Mattia, Zoccolan Davide, Pelillo Marcello (2019), Characterization of Visual Object Representations in Rat Primary Visual Cortex , Computer Vision -- ECCV 2018 Workshops, Springer International Publishing, pp. 577-586, Convegno: Europena Conference on Computer Vision (ISBN 978-3-030-11015-4) (Articolo in Atti di convegno)
  • Sebastiano Vascon, Marco Frasca , Rocco Tripodi , Giorgio Valentini , Marcello Pelillo (2018), Protein Function Prediction as a Graph-Transduction Game in PATTERN RECOGNITION LETTERS, vol. N/D (ISSN 0167-8655) (Articolo su rivista)
  • Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang (2018), DOTA: A Large-Scale Dataset for Object Detection in Aerial Images , 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), IEEE Computer Society, pp. 3974-3983, Convegno: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), June 18-22, 2018 (Articolo in Atti di convegno)
  • Sandi, Giulia*; Vascon, Sebastiano; Pelillo, Marcello (2018), On association graph techniques for hypergraph matching , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) in LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, Springer Verlag, vol. 11004, pp. 481-490, Convegno: Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition, SSPR 2018 and Statistical Techniques in Pattern Recognition, SPR 2018, 17/08/2018-19/08/2018 (ISBN 9783319977843) (ISSN 0302-9743) (Articolo in Atti di convegno)
  • Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo (2018), Speaker Clustering Using Dominant Sets , 2018 24th International Conference on Pattern Recognition (ICPR), IEEE, pp. 3549-3554, Convegno: International Conference on Pattern Recognition (Articolo in Atti di convegno)
  • Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo (2018), Transductive Label Augmentation for Improved Deep Network Learning , 2018 24th International Conference on Pattern Recognition (ICPR), IEEE, pp. 1432-1437, Convegno: International Conference on Pattern Recognition (Articolo in Atti di convegno)
  • (a cura di) Marcello Pelillo, Irene Poli, Andrea Roli, Roberto Serra, Debora Slanzi, Marco Villani (2018), Artificial Life and Evolutionary Computation. in COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, Springer International Publishing, vol. 830 (ISBN 978-3-319-78658-2; 978-3-319-78657-5) (ISSN 1865-0929) (Curatela)
  • Tripodi, Rocco; Pelillo, Marcello (2017), A Game-Theoretic Approach to Word Sense Disambiguation in COMPUTATIONAL LINGUISTICS, vol. 43, pp. 31-70 (ISSN 1530-9312) (Articolo su rivista)
  • Samuel Rota Bulò, ; Marcello, Pelillo (2017), Dominant-Set Clustering: A Review in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 262, pp. 1-13 (ISSN 0377-2217) (Articolo su rivista)
  • Samuel Rota Bulò, ; Battista, Biggio; Ignazio, Pillai; Marcello, Pelillo; Fabio, Roli (2017), Randomized Prediction Games for Adversarial Machine Learning in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 28, pp. 2466-2478 (ISSN 2162-237X) (Articolo su rivista)
  • Pelillo, Marcello; Elezi, Ismail; Fiorucci, Marco (2017), Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition in PATTERN RECOGNITION LETTERS, vol. 87, pp. 4-11 (ISSN 0167-8655) (Articolo su rivista)
  • Tripodi, Rocco; Pelillo, Marcello (2017), Document Clustering Games in Static and Dynamic Scenarios , Pattern Recognition Applications and Methods, Fred A., De Marsico M., Sanniti di Baja G, vol. 10163, pp. 20-42 (ISBN 978-3-319-53374-2; 978-3-319-53375-9; 978-3-319-53374-2; 978-3-319-53375-9) (Articolo su libro)
  • Tripodi, Rocco; Pelillo, Marcello (2017), Transductive Learning Games for Word Sense Disambiguation , Cognitive Approach to Natural Language Processing, Elsevier, pp. 109-128 (ISBN 9781785482533) (Articolo su libro)
  • Torcinovich, Alessandro; Fratton, Marco; Pelillo, Marcello; Pravato, Alberto; Roncato, Alessandro (2017), A Computer Vision System for Monitoring Ice-Cream Freezers , Image Analysis and Processing - ICIAP 2017, Springer, vol. 10485, pp. 333-342, Convegno: International Conference on Image Analysis and Processing (Articolo in Atti di convegno)
  • Fiorucci, Marco; Fratton, Marco; Dulecha, TINSAE GEBRECHRISTOS; Pelillo, Marcello; Pravato, Alberto; Roncato, Alessandro (2017), A Computer Vision System for the Automatic Inventory of a Cooler , Lecture Notes in Computer Science, Springer, vol. 10484, pp. 575-585, Convegno: ICIAP 2017 (ISBN 978-3-319-68560-1) (Articolo in Atti di convegno)
  • Chu Wang, Marcello Pelillo, Kaleem Siddiqi (2017), Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition , Proceedings of the 2017 British Machine Vision Conference (BMVC 2017), BMVC, Convegno: British Machine Vision Conference (Articolo in Atti di convegno)
  • Fiorucci, Marco; Torcinovich, Alessandro; Curado, M.; Escolano, F.; Pelillo, Marcello (2017), On the Interplay between Strong Regularity and Graph Densification , Lecture Notes in Computer Science, Springer, Convegno: Graph-based Representations - GbR2017 (Articolo in Atti di convegno)
  • Fiorucci, Marco; Pelosin, Francesco; Pelillo, Marcello Separating Structure from Noise in Large Graphs Using the Regularity Lemma in PATTERN RECOGNITION, vol. 98, pp. 107070 (ISSN 0031-3203) (Articolo su rivista)
 Associate Editor, Pattern Recognition
 Associate Editor, Frontiers in Computer Vision and Image Analysis
 Associate Editor, IET Computer Vision
 Associate Editor, Brain Informatics
Nel trienno in oggetto sono state svolte ricerche nei seguenti ambiti:

- Game-theoretic models in machine learning
- Contextual methods in computer vision
- Adversarial machine learning
- Person re-identification and tracking
- Image-based geo-localization
- Interactive image segmentation
- Object detection in aerial images
- Graph matching
- Ancient coin classification
- Protein function prediction
- Word-sense disambiguation

Nei prossimi anni si intende proseguire con le ricerche in corso e lavorare nei seguenti ambiti:

- Knowledge graph analysis (progetto MEMEX)
- Adversarial/explainable machine learning (progetto REXlearn)
- Anomaly detection
- Socio-ethical aspects of AI
- IEEE SMC Distinguished Lecturer (2019-2020)
- Premio alla didattica di Ca' Foscari (2018)
- Keynote speaker, SAS Workshop on The Society of Learning Algorithms, Stuttgart, Germany, 2019

- Invited speaker, International Summer School on Law and Bilateral Trade: North America- Europe, Milan, Italy, 2019

- Invited speaker, Summer School in Computational and Theoretical Models in Neuroscience, Venice, Italy, 2019

- Invited speaker, Winter School on Quantitative Systems Biology: Learning and Arti cial Intelligence, The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy, 2018

- Invited speaker, 8th IAPR Workshop on Arti cial Neural Networks in Pattern Recognition (ANNPR 2018), Siena, Italy, 2018
- Dipartimento di Ingegneria e Architettura, Università di Parma, Italy (2017)
- Istituto Neurologico Carlo Besta, Milan, Italy (2018)
- Electronic Information School, Wuhan University, China (2018)
- Department of Computer Science and Engineering, Chalmers University of Technology, Goteborg, Sweden (2019)
- Dipartimento di Ingegneria dell'Informazione, Università di Firenze, Italy (2020)
- General Chair, ICCV 2017: IEEE International Conference on Computer Vision, Venice, Italy
- General Chair, WIVACE 2017: 12th Workshop on Arti cial Life and Evolutionary Computation, Venice, Italy
- Program Chair, ICPR 2020: International Conference on Pattern Recognition, Milan, Italy
- Area Chair, BMVC 2020: British Machine Vision Conference, Manchester, UK
- Area Chair, BMVC 2019: British Machine Vision Conference, Cardiff, UK
- Area Chair, ICIAP 2019: International Conference on Image Analysis and Processing, Trento, Italy
- Area Chair, ECCV 2018: European Conference on Computer Vision, Munich, Germany
- Organizer, CVPR 2019 Workshop on Detecting Objects in Aerial Images, Long Beach, CA, USA
- Track Chair, ICPR 2018: International Conference on Pattern Recognition, Beijing, China
- Introduction to Functional Analysis (10 ore): Corso tenuto nell'ambito del Dottorato in Informatica (2019)
Direttore, European Centre for Living Technology (ECLT): 2014-2019
Componente, Giunta del Dipartimento di Scienze Ambientali, Informatica, Statistica
Componente, Collegio Docenti del Dottorato di Ricerca in Informatica