9 citations · 15 across the 8 of their papers we have counts for
8 papers
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation
Roger Ferrod, Cássio F. Dantas, Luigi Di Caro +1
Multi-modal RGB and Depth (RGBD) data are predominant in many domains such as robotics, autonomous driving and remote sensing. The combination of these multi-modal data enhances en…
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation
Giuseppe Ruggiero, Matteo Testa, Jurgen Van de Walle +1
Self-supervised learning (SSL) has reduced the reliance on expensive labeling in speech technologies by learning meaningful representations from unannotated data. Since most SSL-ba…
Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion
Giuseppe Ruggiero, Matteo Testa, Jurgen Van de Walle +1
The creation of artificial polyglot voices remains a challenging task, despite considerable progress in recent years. This paper investigates self-supervised learning for voice con…
Towards a multimodal framework for remote sensing image change retrieval and captioning
Roger Ferrod, Luigi Di Caro, Dino Ienco
Recently, there has been increasing interest in multimodal applications that integrate text with other modalities, such as images, audio and video, to facilitate natural language i…
EcoVerse: An Annotated Twitter Dataset for Eco-Relevance Classification, Environmental Impact Analysis, and Stance Detection
Francesca Grasso, Stefano Locci, Giovanni Siragusa +1
Anthropogenic ecological crisis constitutes a significant challenge that all within the academy must urgently face, including the Natural Language Processing (NLP) community. While…
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language
Denys Amore Bondarenko, Roger Ferrod, Luigi Di Caro
Word embeddings play a significant role in today's Natural Language Processing tasks and applications. While pre-trained models may be directly employed and integrated into existin…
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning
Giuseppe Ruggiero, Enrico Zovato, Luigi Di Caro +1
Deep learning models are becoming predominant in many fields of machine learning. Text-to-Speech (TTS), the process of synthesizing artificial speech from text, is no exception. To…
A Bimodal Network Approach to Model Topic Dynamics
Luigi Di Caro, Marco Guerzoni, Massimiliano Nuccio +1
This paper presents an intertemporal bimodal network to analyze the evolution of the semantic content of a scientific field within the framework of topic modeling, namely using the…