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ORCIDNiccoló Bisagno
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2020 – today
- 2024
[j5]Giulia Martinelli
, Nicola Garau, Niccoló Bisagno, Nicola Conci:
MoMa: Skinned motion retargeting using masked pose modeling. Comput. Vis. Image Underst. 249: 104141 (2024)- [j4]Zeno Sambugaro, Nicola Garau, Niccoló Bisagno, Nicola Conci:
Agglomerator++: Interpretable part-whole hierarchies and latent space representations in neural networks. Comput. Vis. Image Underst. 249: 104159 (2024) - [c12]Antonio Luigi Stefani, Niccoló Bisagno, Nicola Conci:
MapFlow: Multi-Agent Pedestrian Trajectory Prediction Using Normalizing Flow. ICASSP 2024: 3295-3299 - [i5]Nicola Garau, Giulia Martinelli, Niccoló Bisagno, Denis Tomè, Carsten Stoll:
EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans. CoRR abs/2406.19726 (2024) - [i4]Antonio Luigi Stefani, Niccoló Bisagno, Andrea Rosani, Nicola Conci, Francesco G. B. De Natale:
Signal Processing for Haptic Surface Modeling: a Review. CoRR abs/2409.20142 (2024) - 2023
- [i3]Niccoló Bisagno, Nicola Garau, Antonio Luigi Stefani, Nicola Conci:
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis. CoRR abs/2312.02613 (2023) - 2022
- [c11]Nicola Garau, Niccoló Bisagno, Zeno Sambugaro, Nicola Conci:
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks. CVPR 2022: 13679-13688 - [i2]Nicola Garau, Niccoló Bisagno, Zeno Sambugaro, Nicola Conci:
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks. CoRR abs/2203.03282 (2022) - 2021
- [j3]Niccoló Bisagno, Cristiano Saltori, Bo Zhang, Francesco G. B. De Natale, Nicola Conci:
Embedding group and obstacle information in LSTM networks for human trajectory prediction in crowded scenes. Comput. Vis. Image Underst. 203: 103126 (2021) - [j2]Bo Zhang, Rui Zhang, Niccoló Bisagno, Nicola Conci, Francesco G. B. De Natale, Hongbo Liu:
Where Are They Going? Predicting Human Behaviors in Crowded Scenes. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 123:1-123:19 (2021) - [c10]Alireza Zaeemzadeh, Niccoló Bisagno, Zeno Sambugaro, Nicola Conci, Nazanin Rahnavard, Mubarak Shah:
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces. CVPR 2021: 9452-9461 - [c9]Nicola Garau, Niccoló Bisagno, Piotr Bródka, Nicola Conci:
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders. ICCV 2021: 11657-11666 - [c8]Nicola Garau, Giulia Martinelli, Piotr Bródka, Niccoló Bisagno, Nicola Conci:
PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets. ICCVW 2021: 234-242 - [i1]Nicola Garau, Niccoló Bisagno, Piotr Bródka, Nicola Conci:
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders. CoRR abs/2108.08557 (2021) - 2020
- [j1]Niccoló Bisagno, Alberto Xamin, Francesco G. B. De Natale, Nicola Conci, Bernhard Rinner:
Dynamic Camera Reconfiguration with Reinforcement Learning and Stochastic Methods for Crowd Surveillance. Sensors 20(17): 4691 (2020) - [c7]Yue Song, Niccoló Bisagno, Syed Zohaib Hassan, Nicola Conci:
AG-GAN: An Attentive Group-Aware GAN for pedestrian trajectory prediction. ICPR 2020: 8703-8710
2010 – 2019
- 2019
- [c6]Niccoló Bisagno, Cristian Iacovlev:
Camera network optimization: maximize coverage in a 3D virtual environment. ICDSC 2019: 35:1-35:2 - [c5]Niccoló Bisagno, Nicola Garau, Andrea Montagner, Nicola Conci:
Virtual Crowds: An LSTM-Based Framework for Crowd Simulation. ICIAP (1) 2019: 117-127 - 2018
- [c4]Niccoló Bisagno, Bo Zhang, Nicola Conci:
Group LSTM: Group Trajectory Prediction in Crowded Scenarios. ECCV Workshops (3) 2018: 213-225 - [c3]Niccoló Bisagno, Nicola Conci:
Virtual camera modeling for multi-view simulation of surveillance scenes. EUSIPCO 2018: 2170-2174 - [c2]Niccoló Bisagno, Nicola Conci, Bernhard Rinner:
Dynamic Camera Network Reconfiguration for Crowd Surveillance. ICDSC 2018: 4:1-4:6 - 2017
- [c1]Niccoló Bisagno, Nicola Conci, Bo Zhang:
Data-Driven crowd simulation. AVSS 2017: 1-6
Coauthor Index
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last updated on 2024-10-23 21:29 CEST by the dblp team
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