361 citations · 944 across the 48 of their papers we have counts for
6 papers · 1 filter
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification
Hà Quang Minh, Marco San Biagio, Loris Bazzani +1
This paper presents a novel framework for visual object recognition using infinite-dimensional covariance operators of input features in the paradigm of kernel methods on infinite-…
Emotion-Based Crowd Representation for Abnormality Detection
Hamidreza Rabiee, Javad Haddadnia, Hossein Mousavi +3
In crowd behavior understanding, a model of crowd behavior need to be trained using the information extracted from video sequences. Since there is no ground-truth available in crow…
Active Regression with Adaptive Huber Loss
Jacopo Cavazza, Vittorio Murino
This paper addresses the scalar regression problem through a novel solution to exactly optimize the Huber loss in a general semi-supervised setting, which combines multi-view learn…
Revisiting Human Action Recognition: Personalization vs. Generalization
Andrea Zunino, Jacopo Cavazza, Vittorio Murino
By thoroughly revisiting the classic human action recognition paradigm, this paper aims at proposing a new approach for the design of effective action classification systems. Takin…
Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach
Andrea Zunino, Jacopo Cavazza, Atesh Koul +3
In this paper, we address the new problem of the prediction of human intents. There is neuro-psychological evidence that actions performed by humans are anticipated by peculiar mot…
Kernelized Covariance for Action Recognition
Jacopo Cavazza, Andrea Zunino, Marco San Biagio +1
In this paper we aim at increasing the descriptive power of the covariance matrix, limited in capturing linear mutual dependencies between variables only. We present a rigorous and…