Data-Driven crowd simulation. - Niccolò Bisagno; Nicola Conci; Bo Zhang 045 (AVSS, 2017)

Group LSTM: Group Trajectory Prediction in Crowded Scenarios. - Niccolò Bisagno; Bo Zhang 045; Nicola Conci (ECCV Workshops (3), 2018)

Virtual camera modeling for multi-view simulation of surveillance scenes. - Niccolò Bisagno; Nicola Conci (EUSIPCO, 2018)

Dynamic Camera Network Reconfiguration for Crowd Surveillance. - Niccolò Bisagno; Nicola Conci; Bernhard Rinner (ICDSC, 2018)

Camera network optimization: maximize coverage in a 3D virtual environment. - Niccolò Bisagno; Cristian Iacovlev (ICDSC, 2019)

Virtual Crowds: An LSTM-Based Framework for Crowd Simulation. - Niccolò Bisagno; Nicola Garau; Andrea Montagner; Nicola Conci (ICIAP (1), 2019)

AG-GAN: An Attentive Group-Aware GAN for pedestrian trajectory prediction. - Yue Song; Niccolò Bisagno; Syed Zohaib Hassan; Nicola Conci (ICPR, 2020)

Dynamic Camera Reconfiguration with Reinforcement Learning and Stochastic Methods for Crowd Surveillance. - Niccolò Bisagno; Alberto Xamin; Francesco G. B. De Natale; Nicola Conci; Bernhard Rinner (Sensors, 2020)

Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces. - Alireza Zaeemzadeh; Niccolò Bisagno; Zeno Sambugaro; Nicola Conci; Nazanin Rahnavard; Mubarak Shah (CVPR, 2021)

DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders. - Nicola Garau; Niccolò Bisagno; Piotr Bródka; Nicola Conci (ICCV, 2021)

PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets. - Nicola Garau; Giulia Martinelli; Piotr Bródka; Niccolò Bisagno; Nicola Conci (ICCVW, 2021)

Embedding group and obstacle information in LSTM networks for human trajectory prediction in crowded scenes. - Niccolò Bisagno; Cristiano Saltori; Bo Zhang 045; Francesco G. B. De Natale; Nicola Conci (Comput. Vis. Image Underst., 2021)

Where Are They Going? Predicting Human Behaviors in Crowded Scenes. - Bo Zhang 045; Rui Zhang; Niccolò Bisagno; Nicola Conci; Francesco G. B. De Natale; Hongbo Liu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks. - Nicola Garau; Niccolò Bisagno; Zeno Sambugaro; Nicola Conci (CVPR, 2022)

A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis. - Niccolò Bisagno; Nicola Garau; Antonio Luigi Stefani; Nicola Conci (CoRR, 2023)

EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans. - Nicola Garau; Giulia Martinelli; Niccolò Bisagno; Denis Tomè; Carsten Stoll (ECCV Workshops (13), 2024)

Skeleton-Aware Motion Retargeting Using Masked Pose Modeling. - Giulia Martinelli; Nicola Garau; Niccolò Bisagno; Nicola Conci (ECCV Workshops (2), 2024)

MapFlow: Multi-Agent Pedestrian Trajectory Prediction Using Normalizing Flow. - Antonio Luigi Stefani; Niccolò Bisagno; Nicola Conci (ICASSP, 2024)

Unicrowd Simulator: Visual and Behavioral Fidelity For The Generation of Crowd Datasets. - Niccolò Bisagno; Antonio Luigi Stefani; Nicola Garau; Francesco G. B. De Natale; Nicola Conci (ICIP, 2024)

All Skeletons are Created Equal! A Domain Adaptation Transformer to Handle Multiple Topologies. - Giulia Martinelli; Nicola Garau; Niccolò Bisagno; Nicola Conci (ICIP, 2024)

MoMa: Skinned motion retargeting using masked pose modeling. - Giulia Martinelli; Nicola Garau; Niccolò Bisagno; Nicola Conci (Comput. Vis. Image Underst., 2024)

Agglomerator++: Interpretable part-whole hierarchies and latent space representations in neural networks. - Zeno Sambugaro; Nicola Garau; Niccolò Bisagno; Nicola Conci (Comput. Vis. Image Underst., 2024)

SplatTouch: Explicit 3D Representation Binding Vision and Touch. - Antonio Luigi Stefani; Niccolò Bisagno; Nicola Conci; Francesco G. B. De Natale (CVPR Workshops, 2025)

Signal processing for haptic surface modeling: A review. - Antonio Luigi Stefani; Niccolò Bisagno; Andrea Rosani; Nicola Conci; Francesco G. B. De Natale (Signal Process. Image Commun., 2025)