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
Room: office 513 (Alfa building, 5st floor)
Office
European Center for Living Technology (ECLT)
Research Institute
Research Institute for Complexity

Dati relazione

Periodo di riferimento
01/01/2019 - 01/01/2022
Afferenza
Dipartimento di Scienze Ambientali, Informatica e Statistica
Ruolo
Professori Ordinari
A.A.InsegnamentoCodice VotoVoto medio area
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
2019/2020ALGORITMI E STRUTTURE DATICT03717.57.9
2019/2020ARTIFICIAL INTELLIGENCECM04729.47.9
2019/2020IMAGE AND VIDEO UNDERSTANDINGCM05247.97.9
2020/2021ALGORITMI E STRUTTURE DATICT03717.68.1
2020/2021ARTIFICIAL INTELLIGENCECM04729.38.1
2020/2021IMAGE AND VIDEO UNDERSTANDINGCM05249.58.1
Anno solareTipologiaTesi RelatoreTesi Correlatore
2019Corso di dottorato1
2019Corso di laurea magistrale4
2020Corso di dottorato3
2020Corso di laurea2
2020Corso di laurea magistrale3
2021Corso di dottorato1
2021Corso di laurea magistrale1
  • AI4EU: A European AI On Demand Platform and Ecosystem
  • Artificial Intelligence Assisted Performance and Anomaly Detection and Diagnostic
  • ELISE: European Learning and Intelligent Systems Excellence
  • 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
  • Li, WD; Ng, WWY; Wang, T; Pelillo, M; Kwong, S (2021), HELP: An LSTM-based approach to hyperparameter exploration in neural network learning in NEUROCOMPUTING, vol. 442, pp. 161-172 (ISSN 0925-2312) (Articolo su rivista)
  • Bohleber, Pascal; Roman, Marco; Barbante, Carlo; Vascon, Sebastiano; Siddiqi, Kaleem; Pelillo, Marcello (2021), Ice Core Science Meets Computer Vision: Challenges and Perspectives in FRONTIERS IN COMPUTER SCIENCE, vol. 3 (ISSN 2624-9898) (Articolo su rivista)
  • Wang, Ting; Ng, Wing W Y; Pelillo, Marcello; Kwong, Sam (2021), LiSSA: Localized Stochastic Sensitive Autoencoders in IEEE TRANSACTIONS ON CYBERNETICS, vol. 51, pp. 2748-2760 (ISSN 2168-2267) (Articolo su rivista)
  • Ding, Jian; Xue, Nan; Xia, Gui-Song; Bai, Xiang; Yang, Wen; Yang, Michael; Belongie, Serge; Luo, Jiebo; Datcu, Mihai; Pelillo, Marcello; Zhang, Liangpei (2021), Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. PP, pp. 1-1 (ISSN 0162-8828) (Articolo su rivista)
  • Smaniotto, S; Pelillo, M (2021), Two metrics for attributed hypergraphs in PATTERN RECOGNITION LETTERS, vol. 149, pp. 143-149 (ISSN 0167-8655) (Articolo su rivista)
  • Cina A.E.; Vascon S.; Demontis A.; Biggio B.; Roli F.; Pelillo M. (2021), The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? , Proceedings of the International Joint Conference on Neural Networks in PROCEEDINGS OF ... INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., vol. 2021-, pp. 1-8, Convegno: 2021 International Joint Conference on Neural Networks, IJCNN 2021, 2021 (ISBN 978-1-6654-3900-8) (ISSN 2161-4393) (Articolo in Atti di convegno)
  • Vascon Sebastiano , Aslan Sinem , Bigaglia Gianluca , Giudice Lorenzo , Pelillo Marcello (2021), Transductive Visual Verb Sense Disambiguation , 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, pp. 3049-3058, Convegno: Winter Conference on Applications of Computer Vision (WACV) (Articolo in Atti di convegno)
  • Maffezzoli Niccolò and Storen Eivind and van der Bilt Willem and Cook Eliza and Festi Daniela and Seddon Alistair and Burgay Francois and Baccolo Giovanni and Spolaor Andrea and Vascon Sebastiano and Pelillo Marcello and Ferretti Patrizia and Delmonte Barbara and Steffensen Joergen Peder and Dahl-Jensen Dorthe and Nisancioglu Kerim and Barbante Carlo (2021), Autonomous detection of ice core particles via deep learning , AGU Fall Meeting Abstracts, ADS, vol. 2021, pp. 1026-1026, Convegno: AGU Fall Meeting 2021 (Abstract in Atti di convegno)
  • Bohleber, Pascal; Roman, Marco; Vascon, Sebastiano; Pelillo, Marcello; Barbante, Carlo (2021), Two-dimensional impurity imaging in polar ice cores sparks new demand for automated image analysis , 23rd EGU General Assembly, ADS, Convegno: 23rd EGU General Assembly (Abstract in Atti di convegno)
  • (a cura di) Pelillo M; Scantamburlo T (2021), Machines We Trust. Perspectives on Dependable AI , MIT Press (ISBN 9780262542098) (Curatela)
  • Wang, Fu-Dong; Xue, Nan; Zhang, Yipeng; Xia, Gui-Song; Pelillo, Marcello (2020), A Functional Representation for Graph Matching in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 42, pp. 2737-2754 (ISSN 0162-8828) (Articolo su rivista)
  • 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)
  • Wing W. Y. Ng; Xiaoxia Jiang; Xing Tian; Marcello Pelillo; Hui Wang; Sam Kwong (2020), Incremental hashing with sample selection using dominant sets in INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, vol. 11, pp. 2689-2702 (ISSN 1868-8071) (Articolo su rivista)
  • Alemu, LT; Pelillo, M (2020), Multi-feature fusion for image retrieval using constrained dominant sets in IMAGE AND VISION COMPUTING, vol. 94, pp. 103862 (ISSN 0262-8856) (Articolo su rivista)
  • Fiorucci, Marco; Pelosin, Francesco; Pelillo, Marcello (2020), Separating Structure from Noise in Large Graphs Using the Regularity Lemma in PATTERN RECOGNITION, vol. 98, pp. 107070 (ISSN 0031-3203) (Articolo su rivista)
  • Aslan S.; Vascon S.; Pelillo M. (2020), Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games in PATTERN RECOGNITION LETTERS, vol. 131, pp. 158-165 (ISSN 0167-8655) (Articolo su rivista)
  • Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé (2020), The Group Loss for Deep Metric Learning , Proceedings of the European Conference on Computer Vision 2020, Springer, Convegno: European Conference on Computer Vision (Articolo in Atti di convegno)
  • 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: European Conference on Computer Vision (ISBN 978-3-030-11015-4) (Articolo in Atti di convegno)
  • Alemu, LT; Pelillo, M; Shah, M (2019), Deep Constrained Dominant Sets for Person Re-Identification , Proceedings of the International Conference on Computer Vision in PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, vol. 2019-October, pp. 9854-9863, Convegno: International Conference on Computer Vision (ISBN 978-1-7281-4803-8) (ISSN 1550-5499) (Articolo in Atti di convegno)
  • Vascon S.; Aslan S.; Torcinovich A.; Laarhoven T.V.; Marchiori E.; Pelillo M. (2019), Unsupervised Domain Adaptation using Graph Transduction Games , Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., vol. 2019-, pp. 1-8, Convegno: 2019 International Joint Conference on Neural Networks, IJCNN 2019, 2019 (ISBN 978-1-7281-1985-4) (Articolo in Atti di convegno)
  • Aslan, Sinem; Pelillo, Marcello (2019), Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets in Sinem Aslan, Marcello Pelillo, 20th International Conference on Image Analysis and Processing, ICIAP 2019 - Proceedings, Springer Cham, vol. 11752, pp. 425-436, Convegno: 20th International Conference on Image Analysis and Processing (Articolo in Atti di convegno)
Specialty Chief Editor, Computer Vision, Frontiers in Computer Science

Associate Editor, Pattern Recognition

Associate Editor, Advances in Continuous and Discrete Models

Associate Editor, IET Computer Vision

Associate Editor, Brain Informatics

Advisory Board Member, International Journal of Machine Learning and Cybernetics
Nel periodo 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

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

- Fresco reconstruction (progetto RePAIR)
- Knowledge graph analysis (progetto MEMEX)
- Adversarial/explainable machine learning
- Anomaly detection
- Socio-ethical aspects of AI
Fellow, AAIA (the Asia-Pacific Artificial Intelligence Association), 2021

Listed among the world's top 2% scientists, according to a Stanford University 2020 study

IEEE SMC Distinguished Lecturer, 2019-2021
Invited speaker, International Forum on Frontiers of Intelligent Medical Image Analysis and Computing, 2021 (virtual)

Invited speaker, GeoInformatics Summer School, Wuhan University, China, August 2021 (virtual)

Invited speaker, IT/AI Law School, Kozminski University, Poland, September 2021 (virtual)

Keynote speaker, 15th IEEE International Conference on Signal Processing (ICSP 2020), December 2020 (virtual)

Invited speaker, 5th Winter School on Data Analytics (DA 2020), November 2020 (virtual)

Invited speaker, 9th International Conference on Analysis of Images, Social Networks and Texts (AIST 2020), October 2020 (virtual)

Invited speaker, GeoInformatics Summer School, Wuhan University, China, August 2020 (virtual)

Keynote speaker, SAS Workshop on The Society of Learning Algorithms, Stuttgart, Germany, November 2019

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

Invited speaker, GeoInformatics Summer School, Wuhan, China, July 2019

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

Invited speaker, 2nd Workshop on Operator Splitting Methods in Data Analysis, Flatiron Institute, New York, USA, March 2019
Program Chair, ICPR 2020: International Conference on Pattern Recognition, online, January 2021
 
General Chair, S+SSPR 2020: IAPR Joint International Workshops on Statistical techniques in Pattern Recognition (SPR 2020) and Structural and Syntactic Pattern Recognition (SSPR 2020), Padua, Italy, September 2020

Organizer, ICCV 2021 Workshop on Learning to Understand Aerial Images, Montreal, Canada, October 2021

Area Chair, ICCV 2021: IEEE International Conference on Computer Vision, Montreal,Canada, October 2021
 
Area Chair, IJCAI 2021: 30th International Joint Conference on Artificial Intelligence, Montreal, Canada, August 2021

Area Chair, BMVC 2021: British Machine Vision Conference, UK, November 2021

Area Chair, ICIAP 2021: International Conference on Image Analysis and Processing, Lecce, Italy, September 2021

Organizer, ECCV 2020 Workshop on Video Turing Test: Toward Human-Level Video Story Understanding, online, August 2020

Area Chair, BMVC 2020: British Machine Vision Conference, Manchester, UK, September
2020

Organizer, Symposium on Art and Computers, Venice, Italy October 2019

Area Chair, BMVC 2019: British Machine Vision Conference, Cardi , UK, September 2019

Area Chair, ICIAP 2019: International Conference on Image Analysis and Processing,
Trento, Italy, September 2019

Organizer, CVPR 2019 Workshop on Detecting Objects in Aerial Images, Long Beach, CA, USA, June 2019
Direttore, European Centre for Living Technology (ECLT): 2014-2019