Scholar
Pasquale De Marinis
Google Scholar ID: F7tOSFUAAAAJ
PhD at University of Bari Aldo Moro
Citations & Impact
Citations
40
H-index
3
i10-index
1
Publications
5
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - 'Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts', ECAI 2025
- - 'RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection', ECCVW 2024
- - 'Weed mapping in multispectral drone imagery using lightweight vision transformers', Neurocomputing
- - Awards:
- - Best Distinction Paper Award at FEDCSIS 2023
- - Outstanding Paper Award at IFSA-NAFIPS 2025
- - Projects: Organized the 'Advances in Drone Vision' workshop at ICIAP 2025
Research Experience
- - Work Experience: Currently working on few-shot semantic segmentation and edge AI methods in collaboration with Jheronimus Academy of Data Science (Netherlands)
- - Research Projects: Involved in multiple research projects including 'RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection'
Education
- - Degree: Ph.D.
- - University: University of Bari Aldo Moro
- - Advisor: Not explicitly mentioned
- - Time: Not explicitly mentioned
- - Major: Computer Science
Background
- - Research Interests: Computer Vision, Machine Learning, Applied AI
- - Professional Field: Data-efficient and explainable deep learning for computer vision, with applications in large-scale and real-world visual understanding
- - Brief Introduction: Pasquale De Marinis is a Ph.D. student at the Computational Intelligence Lab (CILAB), University of Bari Aldo Moro, focusing on applications in large-scale and real-world visual understanding.
Miscellany
- - Participated in DeepLearn Summer School 2023 (Gran Canaria, Spain) and DeepLearn Spring 2023 (Bari, Italy)
