2 citations · 2 across the 2 of their papers we have counts for
6 papers
Unsupervised Incremental Learning of Deep Descriptors From Video Streams
Federico Pernici, Alberto Del Bimbo
We present a novel unsupervised method for face identity learning from video sequences. The method exploits the ResNet deep network for face detection and VGGface fc7 face descript…
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Giuseppe Lisanti, Niki Martinel, Alberto Del Bimbo +1
Person re-identification is best known as the problem of associating a single person that is observed from one or more disjoint cameras. The existing literature has mainly addresse…
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices
Mohamed Daoudi, Stefano Berretti, Pietro Pala +2
Emotion recognition is attracting great interest for its potential application in a multitude of real-life situations. Much of the Computer Vision research in this field has focuse…
Context-Aware Trajectory Prediction
Federico Bartoli, Giuseppe Lisanti, Lamberto Ballan +1
Human motion and behaviour in crowded spaces is influenced by several factors, such as the dynamics of other moving agents in the scene, as well as the static elements that might b…
Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large Scale Databases
Simone Ercoli, Marco Bertini, Alberto Del Bimbo
In this paper we present an efficient method for visual descriptors retrieval based on compact hash codes computed using a multiple k-means assignment. The method has been applied…
Bloom Filters and Compact Hash Codes for Efficient and Distributed Image Retrieval
Andrea Salvi, Simone Ercoli, Marco Bertini +1
This paper presents a novel method for efficient image retrieval, based on a simple and effective hashing of CNN features and the use of an indexing structure based on Bloom filter…