Published in International Joint Conference on Neural Networks, 2025
Recommended citation: L. Cirillo, C. Schiavella, L. Papa, P. Russo and I. Amerini, "Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation," 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-8, doi: 10.1109/IJCNN64981.2025.11228948.
Published in EURASIP Journal on Information Security 2025, 2025
Recommended citation: Cirillo, L., Gervasio, A. & Amerini, I. Explainability-driven adversarial robustness assessment for generalized deepfake detectors. EURASIP J. on Info. Security 2025, 23 (2025). https://doi.org/10.1186/s13635-025-00211-9
Published in Nature Scientific Reports Journal volume 15, 2025
Recommended citation: Schiavella, C., Cirillo, L., Papa, L. et al. Efficient attention vision transformers for monocular depth estimation on resource-limited hardware. Sci Rep 15, 24001 (2025). https://doi.org/10.1038/s41598-025-06112-8
Published in International Conference on Image Analysis and Processing, 2023
Recommended citation: Schiavella, C., Cirillo, L., Papa, L., Russo, P., & Amerini, I. (2023, September). Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task. In International Conference on Image Analysis and Processing (pp. 383-394). Cham: Springer Nature Switzerland.