Bridging the gap between high school and University studies for student with disability. - Luca Ciampi; Alfonso Curreri; Massimiliano Donati; Luca Fanucci; Federica Gorrasi; Stefano Landucci; Paolo Mancarella; Fiammetta Savoia (AAATE Conf., 2015)

A Wireless Smart Camera Network for Parking Monitoring. - Giuseppe Amato 001; Paolo Bolettieri; Davide Moroni; Fabio Carrara; Luca Ciampi; Gabriele Pieri; Claudio Gennaro; Giuseppe Riccardo Leone; Claudio Vairo (GLOBECOM Workshops, 2018)

Counting Vehicles with Cameras. - Luca Ciampi; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (SEBD, 2018)

Learning Pedestrian Detection from Virtual Worlds. - Giuseppe Amato 001; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro; Nicola Messina (ICIAP (1), 2019)

Counting Vehicles with Deep Learning in Onboard UAV Imagery. - Giuseppe Amato 001; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro (ISCC, 2019)

Unsupervised vehicle counting via multiple camera domain adaptation. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (NeHuAI@ECAI, 2020)

Virtual to Real adaptation of Pedestrian Detectors for Smart Cities. - Luca Ciampi; Nicola Messina; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (CoRR, 2020)

Virtual to Real Adaptation of Pedestrian Detectors. - Luca Ciampi; Nicola Messina; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Sensors, 2020)

Traffic Density Estimation via Unsupervised Domain Adaptation (Discussion Paper). - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (SEBD, 2021)

Domain Adaptation for Traffic Density Estimation. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (VISIGRAPP (5: VISAPP), 2021)

A Multi-Rater Benchmark for Perineuronal Nets Detection and Counting in Fluorescence Microscopy Images. - Luca Ciampi; Fabio Carrara; Valentino Totaro; Raffaele Mazziotti; Leonardo Lupori; Carlos Santiago; Giuseppe Amato 001; Tommaso Pizzorusso; Claudio Gennaro (Zenodo, 2021)

MOBDrone: A Drone Video Dataset for Man OverBoard Rescue. - Donato Cafarelli; Luca Ciampi; Lucia Vadicamo; Claudio Gennaro; Andrea Berton; Marco Paterni; Chiara Benvenuti; Mirko Passera; Fabrizio Falchi (ICIAP (2), 2022)

A Spatio- Temporal Attentive Network for Video-Based Crowd Counting. - Marco Avvenuti; Marco Bongiovanni; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro; Nicola Messina (ISCC, 2022)

Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images. - Luca Ciampi; Fabio Carrara; Giuseppe Amato 001; Claudio Gennaro (VISIGRAPP (4: VISAPP), 2022)

Deep Learning Techniques for Visual Counting. - Luca Ciampi (CoRR, 2022)

An embedded toolset for human activity monitoring in critical environments. - Marco Di Benedetto 001; Fabio Carrara; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Expert Syst. Appl., 2022)

Multi-camera vehicle counting using edge-AI. - Luca Ciampi; Claudio Gennaro; Fabio Carrara; Fabrizio Falchi; Claudio Vairo; Giuseppe Amato 001 (Expert Syst. Appl., 2022)

Learning to count biological structures with raters' uncertainty. - Luca Ciampi; Fabio Carrara; Valentino Totaro; Raffaele Mazziotti; Leonardo Lupori; Carlos Santiago; Giuseppe Amato 001; Tommaso Pizzorusso; Claudio Gennaro (Medical Image Anal., 2022)

Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. - Luca Ciampi; Pawel Foszner; Nicola Messina; Michal Staniszewski; Claudio Gennaro; Fabrizio Falchi; Gianluca Serao; Michal Cogiel; Dominik Golba; Agnieszka Szczesna; Giuseppe Amato 001 (Sensors, 2022)

Deep Learning Techniques for Visual Counting. - Luca Ciampi (2022)

MOBDrone: a large-scale drone-view dataset for man overboard detection. - Donato Cafarelli; Luca Ciampi; Lucia Vadicamo; Claudio Gennaro; Andrea Berton; Marco Paterni; Chiara Benvenuti; Mirko Passera; Fabrizio Falchi (Zenodo, 2022)

Night and Day Instance Segmented Park (NDISPark) Dataset: a Collection of Images taken by Day and by Night for Vehicle Detection, Segmentation and Counting in Parking Areas. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (Zenodo, 2022)

Bus Violence: a large-scale benchmark for video violence detection in public transport. - Pawel Foszner; Michal Staniszewski; Agnieszka Szczesna; Michal Cogiel; Dominik Golba; Luca Ciampi; Nicola Messina; Claudio Gennaro; Fabrizio Falchi; Giuseppe Amato 001; Gianluca Serao (Zenodo, 2022)

A brain-wide, annotated dataset of WFA-positive perineuronal nets and parvalbumin neurons in the adult mouse brain. - Leonardo Lupori; Valentino Totaro; Sara Cornuti; Luca Ciampi; Fabio Carrara; Edda Grilli; Aurelia Viglione; Francesca Tozzi; Elena Putignano; Raffaele Mazziotti; Giuseppe Amato 001; Claudio Gennaro; et al. (Zenodo, 2022)

Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods. - Pawel Foszner; Agnieszka Szczesna; Luca Ciampi; Nicola Messina; Adam Cygan; Bartosz Bizon; Michal Cogiel; Dominik Golba; Elzbieta Macioszek; Michal Staniszewski (VISIGRAPP (1: GRAPP), 2023)

MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. - Luca Ciampi; Nicola Messina; Gaetano Emanuele Valenti; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (ICIAP (1), 2023)

Unsupervised Domain Adaptation for Video Violence Detection in the Wild. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (IMPROVE, 2023)

AIMH Lab 2022 Activities for Healthcare. - Fabio Carrara; Luca Ciampi; Marco Di Benedetto 001; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Ital-IA, 2023)

AIMH Lab 2022 Activities for Vision. - Luca Ciampi; Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Marco Di Benedetto 001; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Ital-IA, 2023)

CrowdSim2: An Open Synthetic Benchmark for Object Detectors. - Pawel Foszner; Agnieszka Szczesna; Luca Ciampi; Nicola Messina; Adam Cygan; Bartosz Bizon; Michal Cogiel; Dominik Golba; Elzbieta Macioszek; Michal Staniszewski (VISIGRAPP (5: VISAPP), 2023)

Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps. - Luca Ciampi; Valeria Zeni; Luca Incrocci; Angelo Canale; Giovanni Benelli; Fabrizio Falchi; Giuseppe Amato 001; Stefano Chessa (Zenodo, 2023)

A deep learning-based dataset of WFA-positive perineuronal nets and parvalbumin neurons localizations in the adult mouse brain. - Leonardo Lupori; Valentino Totaro; Sara Cornuti; Luca Ciampi; Fabio Carrara; Edda Grilli; Aurelia Viglione; Francesca Tozzi; Elena Putignano; Raffaele Mazziotti; Giuseppe Amato 001; Claudio Gennaro; et al. (Zenodo, 2023)

A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps. - Luca Ciampi; Valeria Zeni; Luca Incrocci; Angelo Canale; Giovanni Benelli; Fabrizio Falchi; Giuseppe Amato 001; Stefano Chessa (Ecol. Informatics, 2023)

A Biologically-Inspired Approach to Biomedical Image Segmentation. - Luca Ciampi; Gabriele Lagani; Giuseppe Amato 001; Fabrizio Falchi (ECCV Workshops (14), 2024)

Teacher-Student Models for AI Vision at the Edge: A Car Parking Case Study. - Mbasa Joaquim Molo; Emanuele Carlini; Luca Ciampi; Claudio Gennaro; Lucia Vadicamo (VISIGRAPP (4): VISAPP, 2024)

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging. - Luca Ciampi; Gabriele Lagani; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2024)

MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. - Luca Ciampi; Nicola Messina; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Gaetano Emanuele Valenti (Zenodo, 2024)

In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach. - Luca Ciampi; Carlos Santiago; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (SN Comput. Sci., 2024)

Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting. - Luca Ciampi; Nicola Messina; Matteo Pierucci; Giuseppe Amato 001; Marco Avvenuti; Fabrizio Falchi (WACV, 2025)

A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches. - Luca Ciampi; Ali Azmoudeh; Elif Ecem Akbaba; Erdi Saritas; Ziya Ata Yazici; Hazim Kemal Ekenel; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2025)

Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training. - Luca Ciampi; Gabriele Lagani; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2025)

CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones. - Giacomo Pacini; Lorenzo Bianchi 001; Luca Ciampi; Nicola Messina; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2025)

Comparison of Different Deep Neural Network Models in the Cultural Heritage Domain. - Teodor Boyadzhiev; Gabriele Lagani; Luca Ciampi; Giuseppe Amato 001; Krassimira Ivanova (CoRR, 2025)

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition. - Ludovico Iannello; Luca Ciampi; Gabriele Lagani; Fabrizio Tonelli; Eleonora Crocco; Lucio Maria Calcagnile; Angelo Di Garbo; Federico Cremisi; Giuseppe Amato 001 (CoRR, 2025)