| Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation P Morerio, J Cavazza, V Murino International Conference on Learning Representations (ICLR), 2018 | 66 | 2018 |
| 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 | 40 | 2016 |
| Curriculum dropout P Morerio, J Cavazza, R Volpi, R Vidal, V Murino IEEE International Conference on Computer Vision (ICCV), 2018 | 39 | 2018 |
| 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 | 19 | 2018 |
| Revisiting human action recognition: Personalization vs. generalization A Zunino, J Cavazza, V Murino International conference on image analysis and processing, 469-480, 2017 | 12 | 2017 |
| 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), 2020 | 11 | 2020 |
| 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 | 10 | 2017 |
| 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 | 9 | 2017 |
| Active regression with adaptive huber loss J Cavazza, V Murino arXiv preprint arXiv:1606.01568, 2016 | 8 | 2016 |
| Scalable and compact 3D action recognition with approximated RBF kernel machines J Cavazza, P Morerio, V Murino Pattern Recognition 93, 25-35, 2019 | 7 | 2019 |
| 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 | 6 | 2017 |
| 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 (1), 220-239, 2020 | 5 | 2020 |
| Visually-Driven Semantic Augmentation for Zero-Shot Learning A Roy, J Cavazza, V Murino 29th British Machine Vision Conference (BMVC), 2018 | 4 | 2018 |
| A compact kernel approximation for 3d action recognition J Cavazza, P Morerio, V Murino International conference on image analysis and processing, 211-222, 2017 | 4 | 2017 |
| Intention from motion A Zunino, J Cavazza, A Koul, A Cavallo, C Becchio, V Murino CoRR, abs/1605.09526, 2016 | 3 | 2016 |
| People counting by Huber loss regression J Cavazza, V Murino ICCV Workshops 116, 2015 | 3 | 2015 |
| 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 | 2 | 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 | 1 | 2021 |
| Learning unbiased representations via mutual information backpropagation R Ragonesi, R Volpi, J Cavazza, V Murino arXiv preprint arXiv:2003.06430, 2020 | 1 | 2020 |
| Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning F Marmoreo, JID Carrazco, V Murino, J Cavazza arXiv preprint arXiv:2103.12437, 2021 | | 2021 |
Vittorio MurinoProfessor, University of Verona - Former director of PAVIS @ Italian Institute of Technology, Italyiit.it üzerinde doğrulanmış e-posta adresine sahip
