Jacopo Cavazza | DeepAI

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∙ 04/21/2022

Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance

This paper presents a novel end-to-end method for the problem of skeleto...

22 Giancarlo Paoletti, et al. ∙

∙ 01/03/2022

Semantically Grounded Visual Embeddings for Zero-Shot Learning

Zero-shot learning methods rely on fixed visual and semantic embeddings,...

0 Shah Nawaz, et al. ∙

∙ 03/20/2021

Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!

In Zero-shot learning (ZSL), we classify unseen categories using textual...

74 Jacopo Cavazza, et al. ∙

∙ 10/16/2020

Are Multiple Cross-Correlation Identities better than just Two? Improving the Estimate of Time Differences-of-Arrivals from Blind Audio Signals

Given an unknown audio source, the estimation of time differences-of-arr...

0 Danilo Greco, et al. ∙

∙ 06/21/2020

Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning

This paper tackles the problem of human action recognition, defined as c...

6 Giancarlo Paoletti, et al. ∙

∙ 03/13/2020

Learning Unbiased Representations via Mutual Information Backpropagation

We are interested in learning data-driven representations that can gener...

10 Ruggero Ragonesi, et al. ∙

∙ 11/28/2017

Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines

Despite the recent deep learning (DL) revolution, kernel machines still ...

0 Jacopo Cavazza, et al. ∙

∙ 11/28/2017

Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation

In this work, we face the problem of unsupervised domain adaptation with...

0 Pietro Morerio, et al. ∙

∙ 10/13/2017

Dropout as a Low-Rank Regularizer for Matrix Factorization

Regularization for matrix factorization (MF) and approximation problems ...

0 Jacopo Cavazza, et al. ∙

∙ 10/10/2017

An Analysis of Dropout for Matrix Factorization

Dropout is a simple yet effective algorithm for regularizing neural netw...

0 Jacopo Cavazza, et al. ∙

∙ 09/06/2017

A Compact Kernel Approximation for 3D Action Recognition

3D action recognition was shown to benefit from a covariance representat...

0 Jacopo Cavazza, et al. ∙

∙ 08/03/2017

What Will I Do Next? The Intention from Motion Experiment

In computer vision, video-based approaches have been widely explored for...

0 Andrea Zunino, et al. ∙

∙ 08/03/2017

When Kernel Methods meet Feature Learning: Log-Covariance Network for Action Recognition from Skeletal Data

Human action recognition from skeletal data is a hot research topic and ...

0 Jacopo Cavazza, et al. ∙

∙ 03/18/2017

Curriculum Dropout

Dropout is a very effective way of regularizing neural networks. Stochas...

0 Pietro Morerio, et al. ∙

∙ 06/05/2016

Active Regression with Adaptive Huber Loss

This paper addresses the scalar regression problem through a novel solut...

0 Jacopo Cavazza, et al. ∙

∙ 05/31/2016

Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach

In this paper, we address the new problem of the prediction of human int...

0 Andrea Zunino, et al. ∙

∙ 04/22/2016

Kernelized Covariance for Action Recognition

In this paper we aim at increasing the descriptive power of the covarian...

0 Jacopo Cavazza, et al. ∙

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