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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...
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01/03/2022
Semantically Grounded Visual Embeddings for Zero-Shot Learning
Zero-shot learning methods rely on fixed visual and semantic embeddings,...
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03/20/2021
Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!
In Zero-shot learning (ZSL), we classify unseen categories using textual...
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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...
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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...
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03/13/2020
Learning Unbiased Representations via Mutual Information Backpropagation
We are interested in learning data-driven representations that can gener...
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11/28/2017
Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines
Despite the recent deep learning (DL) revolution, kernel machines still ...
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11/28/2017
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
In this work, we face the problem of unsupervised domain adaptation with...
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10/13/2017
Dropout as a Low-Rank Regularizer for Matrix Factorization
Regularization for matrix factorization (MF) and approximation problems ...
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10/10/2017
An Analysis of Dropout for Matrix Factorization
Dropout is a simple yet effective algorithm for regularizing neural netw...
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09/06/2017
A Compact Kernel Approximation for 3D Action Recognition
3D action recognition was shown to benefit from a covariance representat...
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08/03/2017
What Will I Do Next? The Intention from Motion Experiment
In computer vision, video-based approaches have been widely explored for...
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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 ...
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03/18/2017
Curriculum Dropout
Dropout is a very effective way of regularizing neural networks. Stochas...
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06/05/2016
Active Regression with Adaptive Huber Loss
This paper addresses the scalar regression problem through a novel solut...
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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...
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04/22/2016