24 citations · 39 across the 13 of their papers we have counts for
26 papers · 1 filter
CL2R: Compatible Lifelong Learning Representations
Niccolo Biondi, Federico Pernici, Matteo Bruni +2
In this paper, we propose a method to partially mimic natural intelligence for the problem of lifelong learning representations that are compatible. We take the perspective of a le…
The Florence 4D Facial Expression Dataset
F. Principi, S. Berretti, C. Ferrari +3
Human facial expressions change dynamically, so their recognition / analysis should be conducted by accounting for the temporal evolution of face deformations either in 2D or 3D. W…
Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices
Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti +3
We propose an automatic method to estimate self-reported pain based on facial landmarks extracted from videos. For each video sequence, we decompose the face into four different re…
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai, Federico Pernici, Francesco Turchini +1
In this paper we exploit Semi-Supervised Learning (SSL) to increase the amount of training data to improve the performance of Fine-Grained Visual Categorization (FGVC). This proble…
Partially fake it till you make it: mixing real and fake thermal images for improved object detection
Francesco Bongini, Lorenzo Berlincioni, Marco Bertini +1
In this paper we propose a novel data augmentation approach for visual content domains that have scarce training datasets, compositing synthetic 3D objects within real scenes. We s…
Learning Group Activities from Skeletons without Individual Action Labels
Fabio Zappardino, Tiberio Uricchio, Lorenzo Seidenari +1
To understand human behavior we must not just recognize individual actions but model possibly complex group activity and interactions. Hierarchical models obtain the best results i…