Definition
Marcello Pelillo is an Italian computer scientist and professor known for his contributions to computer vision, graph theory, pattern recognition, and machine learning.
Overview
Pelillo holds a professorship in Computer Science at the Department of Mathematics and Computer Science, University of Catania, Italy. His research focuses on the theoretical and algorithmic aspects of graph matching, clustering, image segmentation, and visual learning. He has authored numerous peer‑reviewed journal articles and conference papers, and he has co‑edited several volumes on graph-based methods in computer vision. Pelillo has served on program committees of major conferences such as CVPR, ICCV, ECCV, and ICML, and he has been a reviewer for leading journals in the field.
Etymology/Origin
The name “Marcello” is of Italian origin, derived from the Latin “Marcellus,” a diminutive of “Marcus,” meaning “dedicated to Mars,” the Roman god of war. “Pelillo” is an Italian surname, historically associated with families from the southern regions of Italy, particularly Sicily.
Characteristics
- Academic Position: Full Professor, University of Catania, Italy.
- Research Areas: Graph matching, clustering algorithms, image segmentation, visual object recognition, machine learning.
- Key Contributions: Development of algorithms for combinatorial optimization in graph matching; influential work on dominant set clustering; applications of game-theoretic concepts to visual data analysis.
- Publications: Author or co‑author of over 150 scholarly papers, including highly cited works such as “Dominant Sets and Pairwise Clustering” and “Graph Matching and Learning.”
- Professional Service: Organizer and program committee member for international conferences; associate editor for journals including Pattern Recognition and IEEE Transactions on Pattern Analysis and Machine Intelligence.
- Awards and Honors: Recipient of research grants from the Italian Ministry of Education, University and Research (MIUR) and the European Union; recognized for contributions to graph-based computer vision methods.
Related Topics
- Graph Theory in Computer Vision
- Dominant Set Clustering
- Image Segmentation Techniques
- Machine Learning Applications in Visual Recognition
- Game Theory and Computer Vision
Note: The information presented is based on publicly available academic records and publications up to 2024.