Foto 7

Subscribe to this RSS feed

Messina, N., Amato, G., Esuli, A., Falchi, F., Gennaro, C., and Marchand-Maillet, S. (2020). Fine-grained Visual Textual Alignment for Cross-modal Retrieval using Transformer Encoders. TOMM. ACM

Read more...

Messina, N., Amato, G., Carrara, F., Gennaro, C., & Falchi, F. (2021). Solving the same-different task with convolutional neural networks. Pattern Recognition Letters, 143, 75-80.

Read more...

Messina, N., Amato, G., Falchi, F., Gennaro, C., and Marchand-Maillet, S. (2021). Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CBMI 2021. (pp. 1-6). IEEE.

Read more...

Amato, G., Bolettieri, P., Falchi, F., Gennaro, C., Messina, N., Vadicamo, L., & Vairo, C. (2021, June). VISIONE at Video Browser Showdown 2021. In International Conference on Multimedia Modeling (pp. 473-478). Springer, Cham.

Read more...

Messina, N., Falchi, F., Gennaro, C., & Amato, G. (2021, August). AIMH at SemEval-2021 Task 6: multimodal classification using an ensemble of transformer models. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)

Read more...

Messina, N., Falchi, F., Esuli, A., & Amato, G. (2020). Transformer Reasoning Network for Image-Text Matching and Retrieval. International Conference on Pattern Recognition (ICPR) 2020.

Read more...

Messina N. “Relational Cross-modal Information Retrieval”, International Conference on Similarity Search and Applications (SISAP), October 2020.

Read more...

Messina, N., Amato, G., & Falchi, F. (2020, January). Re-implementing and extending Relation Network for R-CBIR. In Italian Research Conference on Digital Libraries (pp. 82-92). Springer, Cham.

Read more...

Messina, N., Amato, G., Carrara, F., Falchi, F., & Gennaro, C. (2019, September). Testing deep neural networks on the same-different task. In 2019 International Conference on Content-Based Multimedia Indexing (CBMI) (pp. 1-6). IEEE.

Read more...

Messina, N., Amato, G., Carrara, F., Falchi, F., & Gennaro, C. (2019). Learning visual features for relational CBIR. International Journal of Multimedia Information Retrieval, 1-12.

Read more...