Relevant Papers
2024
Bortolon M., Tsesmelis T., James S., Poiesi F., Del Bue A.
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
European Conference on Computer Vision
2024
Scarpellini G., Fiorini S., Giuliari F., Morerio P., Del Bue A.
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
2024
Scarpellini G., Rosa S., Morerio P., Natale L., Del Bue A.
Look Around and Learn: Self-Training Object Detection by Exploration
European Conference on Computer Vision
2022
Giuliari F., Skenderi G., Cristani M., Wang Y., Del Bue A.
Spatial Commonsense Graph for Object Localisation in Partial Scenes
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, pp. 19496-19505
Publications
2024
Jaturapitpornchai R., Poggi G., Sech G., Kokalj Z., Fiorucci M., Traviglia A.
Impact of LiDAR visualisations on semantic segmentation of archaeological objects
International Geoscience and Remote Sensing Symposium (IGARSS)
2024
Naylor P., Di Carlo D., Traviglia A., Yamada M., Fiorucci M.
Implicit Neural Representation for Change Detection
2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, pp. 935-945
2024
Sech G., Poggi G., Ljubenovic M., Fiorucci M., Traviglia A.
Pansharpening of PRISMA products for archaeological prospection
International Geoscience and Remote Sensing Symposium (IGARSS)
2023
Fiorucci M., Naylor P., Yamada M.
Optimal Transport for Change Detection on LiDAR Point Clouds
Digest - International Geoscience and Remote Sensing Symposium (IGARSS), pp. 982-985
2023
Sech G., Soleni P., Verschoof-van der Vaart B., Kokalj Z., Traviglia A., Fiorucci M.
Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures On LiDAR Data
Digest - International Geoscience and Remote Sensing Symposium (IGARSS), pp. 6987-6990
2022
Fiorucci M., Verschoof-Van der Vaart W.B., Soleni P., Saux B.L., Traviglia A.
Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights
Remote Sensing, vol. 14, (no. 7)
2020
Traviglia A., Artesani A., Fiorucci M., Ljubenovic M.
Advances in Hyperspectral Data Processing for Cultural Heritage
European Physical Journal Plus
Editorial
Journal
2020
Davoudi H., Fiorucci M., Traviglia A.
Ancient document layout analysis: Autoencoders meet sparse coding
Proceedings - International Conference on Pattern Recognition, pp. 5936-5942
2020
Davoudi H., Fiorucci M., Coro P., Traviglia A.
Columns, blanks and rulings: Unsupervised feature learning of text regions in tablet images
Conference on Computer Applications and Quantitative Methods in Archaeology (CAA)
Abstract Report
Conference
2020
Fiorucci M., Khoroshiltseva M., Pontil M., Traviglia A., Del Bue A., James S.
Machine Learning for Cultural Heritage: A Survey
Pattern Recognition Letters, vol. 133, pp. 102-108
2020
Fiorucci M., Davoudi H., Traviglia A.
Semi-supervised classification of ancient coins using graph neural networks
Conference on Computer Applications and Quantitative Methods in Archaeology (CAA)
Abstract Report
Conference
2020
Fiorucci M., Pelosin F., Pelillo M.
Separating Structure from Noise in Large Graphs Using the Regularity Lemma
Pattern Recognition, vol. 98
2019
Traviglia A., Fiorucci M.
Graph Convolutional Neural Networks for Cultural Heritage: Applications in RS recognition, numismatics and epigraphy
Machine Learning in Archaeology, Rome
Abstract Report
Conference
2018
Reittu H., Leskela L., Raty T., Fiorucci M.
Analysis of large sparse graphs using regular decomposition of graph distance matrices
Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, pp. 3784-3792
2018
Pelosin F., Fiorucci M., and Pelillo M.
Graph Summarization Using Regular Partitions
The 8th International Conference on Network Analysis, Moscow
Abstract Report
Conference