Publications
You can also find my articles on my Google Scholar profile.
Balancing accuracy and cost in precision agriculture: a few-shot learning approach for efficient weed - crop segmentation
Nico Catalano, Sofia Matilde Luglio, Agnese Chiatti, Mino Sportelli, Christian Frasconi, Davide Facchinetti, Matteo Matteucci Published in Computers and Electronics in Agriculture, 2026Graph Against the Machine: Neuro-Symbolic Approach for Enhanced Video Question Answering
Fabio Lusha, Agnese Chiatti, Sara Pidò, Nico Catalano, Matteo Matteucci Published in Workshop on Advanced Neuro-symbolic Applications (ANSyA) at ECAI, 2025Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan,Nico Catalano, Changkyu Choi, Adín Ramírez Rivera Published in 2025 Conference on Neural Information Processing Systems (NeurIPS), 2025More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
Catalano, N., Maranelli, A., Chiatti, A., & Matteucci, M. (2024, June).
Published in 2024 International Joint Conference on Neural Networks (IJCNN), 2024
Tackling Environmental Variability: Few Shot Segmentation for Domain-Adaptive Weed Segmentation in Agricultural Robotics
Catalano, N., Leone, M., & Matteucci, M. (2024, August).
Published in 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 2024
Surgical fine-tuning for grape bunch segmentation under visual domain shifts
Chiatti, A., Bertoglio, R., Catalano, N., Gatti, M., & Matteucci, M.
Published in 2023 European Conference on Mobile Robots (ECMR), 2023
Few shot semantic segmentation: a review of methodologies, benchmarks, and open challenges
Catalano, Nico, and Matteo Matteucci.
Published in Arxiv, 2023
A comparative study of Fourier transform and CycleGAN as domain adaptation techniques for weed segmentation
Bertoglio, R., Mazzucchelli, A., Catalano, N., & Matteucci, M. (2023).
Published in Smart Agricultural Technology, 2023
