Marco Cristani

research

∙ 09/21/2023

A Machine Learning-oriented Survey on Tiny Machine Learning

The emergence of Tiny Machine Learning (TinyML) has positively revolutio...

0 Luigi Capogrosso, et al. ∙

research

∙ 08/17/2023

Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language

We present Le-RNR-Map, a Language-enhanced Renderable Neural Radiance ma...

0 Francesco Taioli, et al. ∙

research

∙ 07/13/2023

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0

Industry 4.0 involves the integration of digital technologies, such as I...

0 Luigi Capogrosso, et al. ∙

research

∙ 04/12/2023

OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation

Continuous mid-air hand gesture recognition based on captured hand pose ...

0 Federico Cunico, et al. ∙

research

∙ 03/22/2023

Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications

Many recent pattern recognition applications rely on complex distributed...

0 Luigi Capogrosso, et al. ∙

research

∙ 03/22/2023

HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package

BDDs are representations of a Boolean expression in the form of a direct...

0 Luigi Capogrosso, et al. ∙

research

∙ 11/23/2022

A Masked Face Classification Benchmark

We propose a novel image dataset focused on tiny faces wearing face mask...

0 Federico Cunico, et al. ∙

research

∙ 09/23/2022

I-SPLIT: Deep Network Interpretability for Split Computing

This work makes a substantial step in the field of split computing, i.e....

9 Federico Cunico, et al. ∙

research

∙ 09/23/2022

Toward Smart Doors: A Position Paper

Conventional automatic doors cannot distinguish between people wishing t...

6 Luigi Capogrosso, et al. ∙

research

∙ 07/24/2022

Pose Forecasting in Industrial Human-Robot Collaboration

Pushing back the frontiers of collaborative robots in industrial environ...

0 Alessio Sampieri, et al. ∙

research

∙ 07/14/2022

SHREC 2022 Track on Online Detection of Heterogeneous Gestures

This paper presents the outcomes of a contest organized to evaluate meth...

0 Ariel Caputo, et al. ∙

research

∙ 03/22/2022

Under the Hood of Transformer Networks for Trajectory Forecasting

Transformer Networks have established themselves as the de-facto state-o...

0 Luca Franco, et al. ∙

research

∙ 09/17/2020

POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments

In this paper we focus on the problem of learning an optimal policy for ...

0 Francesco Giuliari, et al. ∙

research

∙ 06/15/2020

Infinite Feature Selection: A Graph-based Feature Filtering Approach

We propose a filtering feature selection framework that considers subset...

0 Giorgio Roffo, et al. ∙

research

∙ 04/17/2020

An integrated light management system with real-time light measurement and human perception

Illumination is important for well-being, productivity and safety across...

0 Theodore Tsesmelis, et al. ∙

research

∙ 03/18/2020

Transformer Networks for Trajectory Forecasting

Most recent successes on forecasting the people motion are based on LSTM...

0 Francesco Giuliari, et al. ∙

research

∙ 08/29/2019

Texel-Att: Representing and Classifying Element-based Textures by Attributes

Element-based textures are a kind of texture formed by nameable elements...

11 Marco Godi, et al. ∙

research

∙ 08/29/2019

Texture Retrieval in the Wild through detection-based attributes

Capturing the essence of a textile image in a robust way is important to...

5 Christian Joppi, et al. ∙

research

∙ 04/15/2019

SIMCO: SIMilarity-based object COunting

We present SIMCO, the first agnostic multi-class object counting approac...

0 Marco Godi, et al. ∙

research

∙ 01/30/2019

Human-centric light sensing and estimation from RGBD images: The invisible light switch

Lighting design in indoor environments is of primary importance for at l...

0 Theodore Tsesmelis, et al. ∙

research

∙ 01/07/2019

Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets

In this work, we explore the correlation between people trajectories and...

0 Irtiza Hasan, et al. ∙

research

∙ 09/20/2018

RGBD2lux: Dense light intensity estimation with an RGBD sensor

Lighting design and modelling luminaires in a virtual or real scene) or...

2 Theodore Tsesmelis, et al. ∙

research

∙ 05/02/2018

MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses

Recent approaches on trajectory forecasting use tracklets to predict the...

0 Irtiza Hasan, et al. ∙

research

∙ 01/27/2018

Understanding Deep Architectures by Interpretable Visual Summaries

A consistent body of research investigates the recurrent visual patterns...

0 Marco Carletti, et al. ∙

research

∙ 08/03/2017

What your Facebook Profile Picture Reveals about your Personality

People spend considerable effort managing the impressions they give othe...

0 Cristina Segalin, et al. ∙

research

∙ 04/07/2017

Clothing and People - A Social Signal Processing Perspective

In our society and century, clothing is not anymore used only as a means...

0 Maedeh Aghaei, et al. ∙

research

∙ 01/11/2017

Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification

Re-identification is generally carried out by encoding the appearance of...

0 Igor Barros Barbosa, et al. ∙

research

∙ 09/27/2014

Audio Surveillance: a Systematic Review

Despite surveillance systems are becoming increasingly ubiquitous in our...

0 Marco Crocco, et al. ∙

research

∙ 09/09/2014

F-formation Detection: Individuating Free-standing Conversational Groups in Images

Detection of groups of interacting people is a very interesting and usef...

0 Francesco Setti, et al. ∙

research

∙ 05/12/2011

A Multiple Component Matching Framework for Person Re-Identification

Person re-identification consists in recognizing an individual that has ...

0 Riccardo Satta, et al. ∙

Marco Cristani

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