| Bayesian image based 3d pose estimation M Sanzari, V Ntouskos, F Pirri Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 94 | 2016 |
| Max pooling with vision transformers reconciles class and shape in weakly supervised semantic segmentation S Rossetti, D Zappia, M Sanzari, M Schaerf, F Pirri European conference on computer vision, 446-463, 2022 | 48 | 2022 |
| Component-wise modeling of articulated objects V Ntouskos, M Sanzari, B Cafaro, F Nardi, F Natola, F Pirri, M Ruiz Proceedings of the IEEE International Conference on Computer Vision, 2327-2335, 2015 | 21 | 2015 |
| Discovery and recognition of motion primitives in human activities M Sanzari, V Ntouskos, F Pirri PloS one 14 (4), e0214499, 2019 | 14 | 2019 |
| Visual search and recognition for robot task execution and monitoring L Mauro, F Puja, S Grazioso, V Ntouskos, M Sanzari, E Alati, L Freda, ... Applications of Intelligent Systems, 94-109, 2018 | 9 | 2018 |
| A3d: A device for studying gaze in 3d M Qodseya, M Sanzari, V Ntouskos, F Pirri Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 9 | 2016 |
| Deep execution monitor for robot assistive tasks L Mauro, E Alati, M Sanzari, V Ntouskos, G Massimiani, F Pirri Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 6 | 2018 |
| Human motion primitive discovery and recognition M Sanzari, V Ntouskos, S Grazioso, F Puja, F Pirri arXiv preprint arXiv:1709.10494, 2017 | 5 | 2017 |
| Bayesian non-parametric inference for manifold based MoCap representation F Natola, V Ntouskos, M Sanzari, F Pirri Proceedings of the IEEE International Conference on Computer Vision, 4606-4614, 2015 | 5 | 2015 |
| Artic GAN: A recursive text-image-conditioned GAN E Alati, CA Caracciolo, M Costa, M Sanzari, P Russo, I Amerini Electronics 11 (11), 1737, 2022 | 4 | 2022 |
| Single image object modeling based on BRDF and r-surfaces learning F Natola, V Ntouskos, F Pirri, M Sanzari Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 3 | 2016 |
| Vision-based deep execution monitoring F Puja, S Grazioso, A Tammaro, V Ntouskos, M Sanzari, F Pirri arXiv preprint arXiv:1709.10507, 2017 | 2 | 2017 |
| Artificial Intelligence Algorithms for the Analysis of User Experience in Palazzo Braschi Museum. S Ceccarelli, A Cesta, G Cortellessa, R De Benedictis, F Fracasso, ... GCH, 185-187, 2023 | 1 | 2023 |
| Evaluating visitors’ experience in museum: Comparing artificial intelligence and multi-partitioned analysis S Ceccarelli, A Cesta, G Cortellessa, R De Benedictis, F Fracasso, ... Digital Applications in Archaeology and Cultural Heritage 33, e00340, 2024 | | 2024 |
| Artificial Intelligence Algorithms for the Analysis of User Experience in Palazzo Braschi Museum C Sofia, C Amedeo, C Gabriella, BR De, F Francesca, L Leopardi, L Luca, ... Eurographics Workshop on Graphics and Cultural Heritage, 2023 | | 2023 |
| Towards an understanding of human activities: from the skeleton to the space M Sanzari Università degli Studi di Roma" La Sapienza", 2019 | | 2019 |
| Rigid tool affordance matching points of regard M Sanzari, F Natola, F Nardi, V Ntouskos, M Quodseya, ... IROS 2015 Workshop" Learning object affordances: a fundamental step to allow …, 2015 | | 2015 |
| Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation Supplementary Material S Rossetti, D Zappia, M Sanzari, M Schaerf, F Pirri | | |
