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Jacopo Cavazza
Jacopo Cavazza
Former IIT Researcher
Verified email at iit.it
Title
Cited by
Cited by
Year
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
P Morerio, J Cavazza, V Murino
International Conference on Learning Representations (ICLR), 2018
1732018
Curriculum dropout
P Morerio, J Cavazza, R Volpi, R Vidal, V Murino
IEEE International Conference on Computer Vision (ICCV), 2018
1132018
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
632020
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
512016
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
492018
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
332020
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
272021
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
222020
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
212021
Revisiting human action recognition: Personalization vs. generalization
A Zunino, J Cavazza, V Murino
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
192017
Active regression with adaptive Huber loss
J Cavazza, V Murino
arXiv preprint arXiv:1606.01568, 2016
172016
Scalable and compact 3D action recognition with approximated RBF kernel machines
J Cavazza, P Morerio, V Murino
Pattern Recognition 93, 25-35, 2019
152019
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
132017
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
122017
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
72022
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
72017
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
62021
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
62019
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
52023
Intention from motion
A Zunino, J Cavazza, A Koul, A Cavallo, C Becchio, V Murino
CoRR, abs/1605.09526, 2016
52016
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Articles 1–20