(2023). Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images.

PDF Cite Dataset ArXiv

(2022). A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques. In IEEE Consumer Communications and Networking Conference.


(2022). Investigating Bidimensional Downsampling in Vision Transformer Models. In International Conference on Image Analysis and Processing (ICIAP).

PDF Cite Video

(2021). Assessing the Role of Boundary-Level Objectives in Indoor Semantic Segmentation. In International Conference on Computer Analysis of Images and Patterns (CAIP).

PDF Cite

(2021). Improving Indoor Semantic Segmentation with Boundary-Level Objectives. In International Work-Conference on Artificial Neural Networks (IWANN).

PDF Cite

(2020). Estimation of Traffic Matrices via Super-resolution and Federated Learning. In International Conference on Emerging Networking EXperiments and Technologies (CoNEXT).

PDF Cite