| Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation P Morerio, J Cavazza, V Murino International Conference on Learning Representations (ICLR), 2018 | 195 | 2018 |
| Curriculum dropout P Morerio, J Cavazza, R Volpi, R Vidal, V Murino IEEE International Conference on Computer Vision (ICCV), 2018 | 121 | 2018 |
| The human brain reveals resting state activity patterns that are predictive of biases in attitudes toward robots F Bossi, C Willemse, J Cavazza, S Marchesi, V Murino, A Wykowska Science robotics 5 (46), eabb6652, 2020 | 72 | 2020 |
| Kernelized covariance for action recognition J Cavazza, A Zunino, M San Biagio, V Murino 2016 23rd International Conference on Pattern Recognition (ICPR), 408-413, 2016 | 54 | 2016 |
| Dropout as a Low-Rank Regularizer for Matrix Factorization J Cavazza, B Haeffele, C Lane, P Morerio, V Murino, R Vidal Artificial Intelligence and Statistics (AISTATS), 2018 | 53 | 2018 |
| Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning G Paoletti, J Cavazza, C Beyan, A Del Bue International Conference on Patter Recognition (ICPR) 2020, 2020 | 39 | 2020 |
| Learning unbiased representations via mutual information backpropagation R Ragonesi, R Volpi, J Cavazza, V Murino Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 33 | 2021 |
| Predicting intentions from motion: The subject-adversarial adaptation approach A Zunino, J Cavazza, R Volpi, P Morerio, A Cavallo, C Becchio, V Murino International Journal of Computer Vision 128, 220-239, 2020 | 26 | 2020 |
| Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance G Paoletti, J Cavazza, C Beyan, A Del Bue British Machine Vision Conference (BMVC), 2021 | 23 | 2021 |
| Active regression with adaptive Huber loss J Cavazza, V Murino arXiv preprint arXiv:1606.01568, 2016 | 20 | 2016 |
| Revisiting human action recognition: Personalization vs. generalization A Zunino, J Cavazza, V Murino Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 19 | 2017 |
| Scalable and compact 3D action recognition with approximated RBF kernel machines J Cavazza, P Morerio, V Murino Pattern Recognition 93, 25-35, 2019 | 16 | 2019 |
| Predicting human intentions from motion cues only: A 2d+ 3d fusion approach A Zunino, J Cavazza, A Koul, A Cavallo, C Becchio, V Murino Proceedings of the 25th ACM international conference on Multimedia, 591-599, 2017 | 14 | 2017 |
| When kernel methods meet feature learning: Log-covariance network for action recognition from skeletal data J Cavazza, P Morerio, V Murino Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 12 | 2017 |
| No adversaries to zero-shot learning: Distilling an ensemble of gaussian feature generators J Cavazza, V Murino, A Del Bue IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 10 | 2023 |
| What will i do next? The intention from motion experiment A Zunino, J Cavazza, A Koul, A Cavallo, C Becchio, V Murino Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 9 | 2017 |
| Semantically grounded visual embeddings for zero-shot learning S Nawaz, J Cavazza, A Del Bue Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 8 | 2022 |
| Enhancing visual embeddings through weakly supervised captioning for zero-shot learning M Bustreo, J Cavazza, V Murino Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 7 | 2019 |
| Transductive zero-shot learning by decoupled feature generation F Marmoreo, J Cavazza, V Murino Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 6 | 2021 |
| Understanding action concepts from videos and brain activity through subjects’ consensus J Cavazza, W Ahmed, R Volpi, P Morerio, F Bossi, C Willemse, ... Scientific Reports 12 (1), 19073, 2022 | 5 | 2022 |
Vittorio MurinoProfessor @ University of Verona. PI of AIGO - AI for Good @ Italian Institute of Technology.Verified email at iit.it
