Publications

Giulia Martinelli, Nicola Garau, Niccolo Bisagno, Nicola Conci (2024). All skeletons are created equal! a domain adaptation transformer to handle multiple topologies. 2024 IEEE International Conference on Image Processing (ICIP).
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Zeno Sambugaro, Nicola Garau, Niccoló Bisagno, Nicola Conci (2024). Agglomerator++: Interpretable part-whole hierarchies and latent space representations in neural networks. Computer Vision and Image Understanding.
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Lorenzo Orlandi, Giulia Martinelli, Francesco Laiti, Davide Lobba, Niccoló Bisagno, Nicola Conci (2023). Meta-Trainer: An Augmented Reality Trainer for Home Fitness with Real-Time Feedback. 2023 IEEE International Workshop on Sport, Technology and Research (STAR).
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Niccolò Bisagno, Nicola Garau, Antonio Luigi Stefani, Nicola Conci (2023). A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis. arXiv preprint arXiv:2312.02613.
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Paolo Aliprandi, Letizia Girardi, Giulia Martinelli, Francesco De Natale, Niccoló Bisagno, Nicola Conci (2023). A Case Study for the Automatic Supervision of Body-Weight Exercises: The Squat. 2023 IEEE International Workshop on Sport, Technology and Research (STAR).
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Nicola Garau, Niccoló Bisagno, Zeno Sambugaro, Nicola Conci (2022). Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.
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Nicola Conci, Francesco GB De Natale, Matteo Dalponte, Simone Bernabè, Niccolò Bisagno (2022). Accessible video analytics: the use case of basketball. 2022 IEEE International Workshop on Sport, Technology and Research (STAR).
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Bo Zhang, Rui Zhang, Niccolo Bisagno, Nicola Conci, Francesco GB De Natale, Hongbo Liu (2021). Where are they going? Predicting human behaviors in crowded scenes. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
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Nicola Garau, Giulia Martinelli, Piotr Bródka, Niccolo Bisagno, Nicola Conci (2021). Panoptop: a framework for generating viewpoint-invariant human pose estimation datasets. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Alireza Zaeemzadeh, Niccolo Bisagno, Zeno Sambugaro, Nicola Conci, Nazanin Rahnavard, Mubarak Shah (2021). Out-of-distribution detection using union of 1-dimensional subspaces. Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition.
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