Publications

@inproceedings{Catalano2024,
  author={Catalano, Nico and Maranelli, Alessandro and Chiatti, Agnese and Matteucci, Matteo},
  booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, 
  title={More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation}, 
  year={2024},
  pages={1-8},
  doi={10.1109/IJCNN60899.2024.10650126}
}

      

@inproceedings{Catalano2024CASE,
  author={Catalano, Nico and Leone, Monica and Matteucci, Matteo},
  booktitle={2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)}, 
  title={Tackling Environmental Variability: Few Shot Segmentation for Domain-Adaptive Weed Segmentation in Agricultural Robotics}, 
  year={2024},
  pages={583-588},
  doi={10.1109/CASE59546.2024.10711616}
}

      

@inproceedings{Catalano2023ECMR,
  author={Chiatti, Agnese and Bertoglio, Riccardo and Catalano, Nico and Gatti, Matteo and Matteucci, Matteo},
  booktitle={2023 European Conference on Mobile Robots (ECMR)}, 
  title={Surgical Fine-Tuning for Grape Bunch Segmentation Under Visual Domain Shifts}, 
  year={2023},
  pages={1-7},
  doi={10.1109/ECMR59166.2023.10256348}
}

      

@misc{Catalano2023Arxiv,
  title={Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges},
  author={Catalano, Nico and Matteucci, Matteo},
  journal={arXiv preprint arXiv:2304.05832},
  year={2023}
}
      

@article{Bertoglio2023,
  author  = {Bertoglio, R. and Mazzucchelli, A. and Catalano, N. and Matteucci, M.},
  title   = {A comparative study of Fourier transform and CycleGAN as domain adaptation techniques for weed segmentation},
  journal = {Smart Agricultural Technology},
  volume  = {4},
  pages   = {100188},
  year    = {2023},
  issn    = {2772-3755},
  doi     = {https://doi.org/10.1016/j.atech.2023.100188},
}