Prati
Jacopo Cavazza
Jacopo Cavazza
Former IIT Researcher
Potvrđena adresa e-pošte na iit.it
Naslov
Citirano
Citirano
Godina
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
P Morerio, J Cavazza, V Murino
International Conference on Learning Representations (ICLR), 2018
2002018
Curriculum dropout
P Morerio, J Cavazza, R Volpi, R Vidal, V Murino
IEEE International Conference on Computer Vision (ICCV), 2018
1232018
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
752020
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
562018
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
552016
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
402020
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
342021
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
272020
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
242021
Revisiting human action recognition: Personalization vs. generalization
A Zunino, J Cavazza, V Murino
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
222017
Active regression with adaptive Huber loss
J Cavazza, V Murino
arXiv preprint arXiv:1606.01568, 2016
212016
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
192023
Scalable and compact 3D action recognition with approximated RBF kernel machines
J Cavazza, P Morerio, V Murino
Pattern Recognition 93, 25-35, 2019
172019
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
152017
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
142017
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
102017
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
82022
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
82021
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
72019
A compact kernel approximation for 3d action recognition
J Cavazza, P Morerio, V Murino
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
62017
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