activity
20172023
most citedDynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets

65 citations · 135 across the 18 of their papers we have counts for

collaborators

22 papers

cs.LG2023

ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging

Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean +5

Time series data can be found in almost every domain, ranging from the medical field to manufacturing and wireless communication. Generating realistic and useful exemplars and prot…

cs.CV2023

Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation

Federico Nocentini, Claudio Ferrari, Stefano Berretti

This paper presents a novel approach for generating 3D talking heads from raw audio inputs. Our method grounds on the idea that speech related movements can be comprehensively and…

cs.CV2023

4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks

Lorenzo Berlincioni, Stefano Berretti, Marco Bertini +1

Time varying sequences of 3D point clouds, or 4D point clouds, are now being acquired at an increasing pace in several applications (e.g., LiDAR in autonomous or assisted driving).…

stat.ME2023★ 12 cited

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan +8

The measurement of progress using benchmarks evaluations is ubiquitous in computer science and machine learning. However, common approaches to analyzing and presenting the results…

cs.SD2022★ 1 cited

SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers

A. Arezzo, S. Berretti

In recent years, Speech Emotion Recognition (SER) has been investigated mainly transforming the speech signal into spectrograms that are then classified using Convolutional Neural…

cs.CV2022★ 5 cited

CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format

L. Mandelli, S. Berretti

In this paper, we introduce a new approach for retrieval and classification of 3D models that directly performs in the Computer-Aided Design (CAD) format without any conversion to…