Jacopo Cavazza
Jacopo Cavazza
確認したメール アドレス: iit.it - ホームページ
タイトル
引用先
引用先
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
P Morerio, J Cavazza, V Murino
International Conference on Learning Representations (ICLR), 2018
612018
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
392016
Curriculum dropout
P Morerio, J Cavazza, R Volpi, R Vidal, V Murino
IEEE International Conference on Computer Vision (ICCV), 2018
372018
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
192018
Revisiting human action recognition: Personalization vs. generalization
A Zunino, J Cavazza, V Murino
International conference on image analysis and processing, 469-480, 2017
102017
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
102017
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
82020
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
82017
Active regression with adaptive huber loss
J Cavazza, V Murino
arXiv preprint arXiv:1606.01568, 2016
82016
Scalable and compact 3D action recognition with approximated RBF kernel machines
J Cavazza, P Morerio, V Murino
Pattern Recognition 93, 25-35, 2019
62019
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
52020
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
52017
Visually-Driven Semantic Augmentation for Zero-Shot Learning
A Roy, J Cavazza, V Murino
29th British Machine Vision Conference (BMVC), 2018
42018
A compact kernel approximation for 3d action recognition
J Cavazza, P Morerio, V Murino
International conference on image analysis and processing, 211-222, 2017
42017
Intention from motion
A Zunino, J Cavazza, A Koul, A Cavallo, C Becchio, V Murino
CoRR, abs/1605.09526, 2016
32016
People counting by Huber loss regression
J Cavazza, V Murino
ICCV Workshops 116, 2015
32015
Learning unbiased representations via mutual information backpropagation
R Ragonesi, R Volpi, J Cavazza, V Murino
arXiv preprint arXiv:2003.06430, 2020
12020
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
12019
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
2021
Are Multiple Cross-Correlation Identities better than just Two? Improving the Estimate of Time Differences-of-Arrivals from Blind Audio Signals
D Greco, J Cavazza, A Del Bue
arXiv preprint arXiv:2010.08428, 2020
2020
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