Vito Paolo Pastore

Vito Paolo Pastore

Tenure-track Assistant Professor and Machine Learning Researcher

Publications

📚 Recent Publications (latest 20)

Here's the list of my latest 20 publications. You can find a complete list on my Google Scholar profile.
  1. Pastore, V., Ciranni, M., Tartaglione, E., & Murino, V. (2026). AracNet: Revealing Debiasing Signals Across Layers with Shallow Monitors. European Conference on Computer Vision.
  2. Di Via, R., Voiculescu, I., Odone, F., & Pastore, V. (2026). CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection. 29th International Conference On Medical Image Computing And Computer Assisted Intervention (MICCAI 2026).
  3. Magliolo, L., Pastore, V., Valenzise, G., & Tartaglione, E. (2026). CutClean: Neural Network Pruning for Privacy-Preserving Inference. International Conference on Pattern Recognition.
  4. Berardini, D., Pastore, V., & Murino, V. (2026). Distribution Alignment for One-Shot Federated Learning via Optimal Transport. Forty-Third International Conference on Machine Learning (ICML 2026).
  5. Qi, X., Berardini, D., Serez, D., Pastore, V., & Murino, V. (2026). VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation. Transactions on Machine Learning Research.
  6. Ivan Luiz De Moura Matos, A. (2026). Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  7. Barbano, C., Molinaro, L., Ciranni, M., Aiello, E., Pastore, V., & Grangetto, M. (2026). If you can describe it, they can see it: Cross-Modal Learning of Visual Concepts from Textual Descriptions. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings.
  8. Di Via, R., Pastore, V., Odone, F., Glyn-Jones, S., & Voiculescu, I. (2026). Automated Landmark Detection for assessing hip conditions: A Cross-Modality Validation of MRI versus X-ray. 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI).
  9. Altufayli, I., Ciranni, M., Barbano, C., Murino, V., & Pastore, V. (2026). A Pair-Weighing Strategy for Enhancing Clip Zero-Shot Classification for Chest X-Rays. 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI).
  10. Ciranni, M., Pastore, V., Di Via, R., Tartaglione, E., Odone, F., & Murino, V. (2026). Diffusing debias: Synthetic bias amplification for model debiasing. Advances in Neural Information Processing Systems.
  11. Pastore, V., Rorato, R., Touijer, L., Via, R., Odone, F., Galli, L., Burrus, L., & Bianco, S. (2026). FiloAnalyzer: a deep learning approach for cell filopodia segmentation. BMC bioinformatics.
  12. Angella, P., Pastore, V., & Santacesaria, M. (2026). Infinite dimensional generative sensing. arXiv preprint arXiv:2603.03196.
  13. Pastore, V., Ciranni, M., & Murino, V. (2026). Lose Your Self (LoYS): an adversarial entropy-based unsupervised approach for model debiasing. 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
  14. Roos, N., Iakovleva, E., Gjergji, A., Pastore, V., & Tartaglione, E. (2026). How I Met Your Bias: Investigating Bias Amplification in Diffusion Models. 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
  15. Ciranni, M., Nahon, R., Marinelli, D., Murino, V., Tartaglione, E., & Pastore, V. (2025). Are We Unbiased Yet? A Survey on Model Debiasing for Image Classification. .
  16. Ciranni, M., Shcharbitski, A., Murino, V., & Pastore, V. (2025). Confidently Biased (ConB): A Per-sample Confidence Approach for Unsupervised Model Debiasing. International Conference on Image Analysis and Processing.
  17. Patell, N., Clement, A., Wyatt, J., Di Via, R., Marinelli, D., Ciranni, M., Pastore, V., & Voiculescu, I. (2025). A handful of data: evaluating few–shot incremental landmark detection. Image Analysis and Processing–ICIAP 2025: 23rd International Conference, Rome, Italy, September 15–19, 2025, Proceedings, Part II.
  18. Di Via, R., Ciranni, M., Marinelli, D., Clement, A., Patel, N., Wyatt, J., Odone, F., Santacesaria, M., Voiculescu, I., & Pastore, V. (2025). Are X-ray landmark detection models fair? A preliminary assessment and mitigation strategy. 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
  19. Boucher, M., Banerjee, S., Joshi, M., Wei, A., Nalley, M., Huang, M., Lei, S., Ciranni, M., Condon, A., & Langen, A. (2025). Phenotypic landscape of an invasive fungal pathogen reveals its unique biology. Cell.
  20. Gjergji, A., Ciranni, M., Moro, M., Murino, V., & Pastore, V. (2025). Self-supervised multi-modal learning for accurate MRI multiple sclerosis segmentation. 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI).