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
Organized Events
2021
Chzhen E., Pontil M., Valera I.
Foundations of Algorithmic Fairness
2018
Pontil M.
American Association on Artificial Intelligence (AAAI) Area Chair
2017
Pontil M.
Workshop on Prioritising Online Content
2015
Pontil M.
Dagstuhl Workshop on "Machine Learning with Interdependent and Non-identically Distributed Data".
2012
Pontil M.
ICML Workshop entitled “Object, Functional and Structured Data: Towards Next Generation Kernel-Based Methods”
2009
Pontil M.
Sparsity in Machine Learning and Statistics
2005
Pontil M.
NIPS Workshop entitled “Accuracy-Regularization Frontier”
2005
Pontil M.
NIPS Workshop entitled “Inductive Transfer: 10 Year Later”