11 citations · 21 across the 9 of their papers we have counts for
11 papers
Understanding Adversarial Training with Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Filippo Bartolucci +3
We aim at using Energy-based Model (EBM) framework to better understand adversarial training (AT) in classifiers, and additionally to analyze the intrinsic generative capabilities…
What is Adversarial Training for Diffusion Models?
Briglia Maria Rosaria, Mujtaba Hussain Mirza, Giuseppe Lisanti +1
We answer the question in the title, showing that adversarial training (AT) for diffusion models (DMs) fundamentally differs from classifiers: while AT in classifiers enforces outp…
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense
Filippo Bartolucci, Iacopo Masi, Giuseppe Lisanti
Image manipulation detection and localization have received considerable attention from the research community given the blooming of Generative Models (GMs). Detection methods that…
Semantic Image Synthesis via Class-Adaptive Cross-Attention
Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti +2
In semantic image synthesis the state of the art is dominated by methods that use customized variants of the SPatially-Adaptive DE-normalization (SPADE) layers, which allow for goo…
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
Nico Giambi, Giuseppe Lisanti
Deep generative models have shown impressive results in generating realistic images of faces. GANs managed to generate high-quality, high-fidelity images when conditioned on semant…
Multimodal Side-Tuning for Document Classification
Stefano Pio Zingaro, Giuseppe Lisanti, Maurizio Gabbrielli
In this paper, we propose to exploit the side-tuning framework for multimodal document classification. Side-tuning is a methodology for network adaptation recently introduced to so…
IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century
Lorenzo Stacchio, Alessia Angeli, Giuseppe Lisanti +2
Although one of the most popular practices in photography since the end of the 19th century, an increase in scholarly interest in family photo albums dates back to the early 1980s.…
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…
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…
A Multi-Camera Image Processing and Visualization System for Train Safety Assessment
Giuseppe Lisanti, Svebor Karaman, Daniele Pezzatini +1
In this paper we present a machine vision system to efficiently monitor, analyze and present visual data acquired with a railway overhead gantry equipped with multiple cameras. Thi…
Continuous Localization and Mapping of a Pan Tilt Zoom Camera for Wide Area Tracking
Giuseppe Lisanti, Iacopo Masi, Federico Pernici +1
Pan-tilt-zoom (PTZ) cameras are powerful to support object identification and recognition in far-field scenes. However, the effective use of PTZ cameras in real contexts is complic…