51 citations · 84 across the 15 of their papers we have counts for
15 papers
Reproducibility Companion Paper: Swarical: An Integrated Hierarchical Approach to Localizing Flying Light Specks
Hamed Alimohammadzadeh, Shahram Ghandeharizadeh, Federico Cunico +1
This companion paper provides artifacts and instructions on replicating the experiments in the ACM Multimedia 2024 paper entitled "Swarical: An Integrated Hierarchical Approach to…
Uncertainty Aware-Predictive Control Barrier Functions: Safer Human Robot Interaction through Probabilistic Motion Forecasting
Lorenzo Busellato, Federico Cunico, Diego Dall'Alba +4
To enable flexible, high-throughput automation in settings where people and robots share workspaces, collaborative robotic cells must reconcile stringent safety guarantees with the…
Material synthesis through simulations guided by machine learning: a position paper
Usman Syed, Federico Cunico, Uzair Khan +6
In this position paper, we propose an approach for sustainable data collection in the field of optimal mix design for marble sludge reuse. Marble sludge, a calcium-rich residual fr…
Learning based Ge'ez character handwritten recognition
Hailemicael Lulseged Yimer, Hailegabriel Dereje Degefa, Marco Cristani +1
Ge'ez, an ancient Ethiopic script of cultural and historical significance, has been largely neglected in handwriting recognition research, hindering the digitization of valuable ma…
IoT-Based Coma Patient Monitoring System
Hailemicael Lulseged Yimer, Hailegabriel Dereje Degefa, Marco Cristani +1
Continuous monitoring of coma patients is essential but challenging, especially in developing countries with limited resources, staff, and infrastructure. This paper presents a low…
Multi-Camera Industrial Open-Set Person Re-Identification and Tracking
Federico Cunico, Marco Cristani
In recent years, the development of deep learning approaches for the task of person re-identification led to impressive results. However, this comes with a limitation for industria…
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset
Andrea Avogaro, Andrea Toaiari, Federico Cunico +5
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and Spot, the quadruped robot manufactured by Boston Dynamics. Th…
A Machine Learning-oriented Survey on Tiny Machine Learning
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng +2
The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of resource-constrained IoT hardwar…
Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language
Francesco Taioli, Federico Cunico, Federico Girella +3
We present Le-RNR-Map, a Language-enhanced Renderable Neural Radiance map for Visual Navigation with natural language query prompts. The recently proposed RNR-Map employs a grid st…
Markerless human pose estimation for biomedical applications: a survey
Andrea Avogaro, Federico Cunico, Bodo Rosenhahn +1
Markerless Human Pose Estimation (HPE) proved its potential to support decision making and assessment in many fields of application. HPE is often preferred to traditional marker-ba…
OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation
Federico Cunico, Federico Girella, Andrea Avogaro +3
Continuous mid-air hand gesture recognition based on captured hand pose streams is fundamental for human-computer interaction, particularly in AR / VR. However, many of the methods…
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications
Luigi Capogrosso, Federico Cunico, Michele Lora +3
Many recent pattern recognition applications rely on complex distributed architectures in which sensing and computational nodes interact together through a communication network. D…
A Masked Face Classification Benchmark on Low-Resolution Surveillance Images
Federico Cunico, Andrea Toaiari, Marco Cristani
We propose a novel image dataset focused on tiny faces wearing face masks for mask classification purposes, dubbed Small Face MASK (SF-MASK), composed of a collection made from 20k…
I-SPLIT: Deep Network Interpretability for Split Computing
Federico Cunico, Luigi Capogrosso, Francesco Setti +3
This work makes a substantial step in the field of split computing, i.e., how to split a deep neural network to host its early part on an embedded device and the rest on a server.…
Pose Forecasting in Industrial Human-Robot Collaboration
Alessio Sampieri, Guido D'Amely, Andrea Avogaro +5
Pushing back the frontiers of collaborative robots in industrial environments, we propose a new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For the…