41 citations · 85 across the 9 of their papers we have counts for
14 papers
Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!
Jacopo Cavazza
In Zero-shot learning (ZSL), we classify unseen categories using textual descriptions about their expected appearance when observed (class embeddings) and a disjoint pool of seen c…
Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning
Federico Marmoreo, Julio Ivan Davila Carrazco, Vittorio Murino +1
In Generalized Zero-Shot Learning (GZSL), unseen categories (for which no visual data are available at training time) can be predicted by leveraging their class embeddings (e.g., a…
Transductive Zero-Shot Learning by Decoupled Feature Generation
Federico Marmoreo, Jacopo Cavazza, Vittorio Murino
In this paper, we address zero-shot learning (ZSL), the problem of recognizing categories for which no labeled visual data are available during training. We focus on the transducti…
Are Multiple Cross-Correlation Identities better than just Two? Improving the Estimate of Time Differences-of-Arrivals from Blind Audio Signals
Danilo Greco, Jacopo Cavazza, Alessio Del Bue
Given an unknown audio source, the estimation of time differences-of-arrivals (TDOAs) can be efficiently and robustly solved using blind channel identification and exploiting the c…
Learning Unbiased Representations via Mutual Information Backpropagation
Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza +1
We are interested in learning data-driven representations that can generalize well, even when trained on inherently biased data. In particular, we face the case where some attribut…
Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines
Jacopo Cavazza, Pietro Morerio, Vittorio Murino
Despite the recent deep learning (DL) revolution, kernel machines still remain powerful methods for action recognition. DL has brought the use of large datasets and this is typical…