122 citations · 483 across the 70 of their papers we have counts for
8 papers · 1 filter
CoReS: Compatible Representations via Stationarity
Niccolo Biondi, Federico Pernici, Matteo Bruni +1
Compatible features enable the direct comparison of old and new learned features allowing to use them interchangeably over time. In visual search systems, this eliminates the need…
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…
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
Yangyang Guo, Liqiang Nie, Zhiyong Cheng +3
A number of studies point out that current Visual Question Answering (VQA) models are severely affected by the language prior problem, which refers to blindly making predictions ba…
Sparse to Dense Dynamic 3D Facial Expression Generation
Naima Otberdout, Claudio Ferrari, Mohamed Daoudi +2
In this paper, we propose a solution to the task of generating dynamic 3D facial expressions from a neutral 3D face and an expression label. This involves solving two sub-problems:…