Pasquale De Marinis

Orcid: 0000-0001-8935-9156

According to our database1, Pasquale De Marinis authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Explainable Fuzzy GNNs for Leak Detection in Water Distribution Networks.
CoRR, January, 2026

2025
Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA.
CoRR, December, 2025

DistillFSS: Synthesizing Few-Shot Knowledge into a Lightweight Segmentation Model.
CoRR, December, 2025

Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design.
CoRR, November, 2025

Intelligent drones with vision technology for sustainable weed mapping in precision agriculture.
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

UKANWeed: An Application of Kolmogorov-Arnold Networks to Weed Mapping.
Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

A Weakly-Supervised Learning Approach for RGB Crop Detection Using UAV Imagery.
Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

Calibrated Weed Mapping.
Proceedings of the 2nd Workshop on Green-Aware Artificial Intelligence (Green-Aware AI@ECAI 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024
RoWeeder: Unsupervised Weed Mapping Through Crop-Row Detection.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
Weed mapping in multispectral drone imagery using lightweight vision transformers.
Neurocomputing, December, 2023

Applying Knowledge Distillation to Improve Weed Mapping With Drones.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023


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