Jacopo Cavazza

Julio Ivan Davila Carrazco

Alessio Del Bue

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Blind Approach Using Convolutional Neural Networks to a New Ultrasound Image Denoising Task.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Biomedical Applications, 2023

2022

Towards Open Zero-Shot Learning.

[BibT_eX]

[DOI]

Federico Marmoreo

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Semantically Grounded Visual Embeddings for Zero-Shot Learning.

[BibT_eX]

[DOI]

Shah Nawaz

Julio Ivan Davila Carrazco

Alessio Del Bue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning.

[BibT_eX]

[DOI]

Federico Marmoreo

CoRR, 2021

Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!

[BibT_eX]

[DOI]

CoRR, 2021

Transductive Zero-Shot Learning by Decoupled Feature Generation.

[BibT_eX]

[DOI]

Federico Marmoreo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning Unbiased Representations via Mutual Information Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

The human brain reveals resting state activity patterns that are predictive of biases in attitudes toward robots.

[BibT_eX]

[DOI]

Sci. Robotics, 2020

Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Are Multiple Cross-Correlation Identities better than just Two? Improving the Estimate of Time Differences-of-Arrivals from Blind Audio Signals.

[BibT_eX]

[DOI]

Danilo Greco

Alessio Del Bue

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Scalable and compact 3D action recognition with approximated RBF kernel machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Enhancing Visual Embeddings through Weakly Supervised Captioning for Zero-Shot Learning.

[BibT_eX]

[DOI]

Matteo Bustreo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Learning by correlation for computer vision applications: from Kernel methods to deep learning.

[BibT_eX]

[DOI]

PhD thesis, 2018

Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Visually-Driven Semantic Augmentation for Zero-Shot Learning.

[BibT_eX]

[DOI]

Abhinaba Roy

Proceedings of the British Machine Vision Conference 2018, 2018

Dropout as a Low-Rank Regularizer for Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

An Analysis of Dropout for Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2017

Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Revisiting Human Action Recognition: Personalization vs. Generalization.

[BibT_eX]

[DOI]

Andrea Zunino

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

A Compact Kernel Approximation for 3D Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Curriculum Dropout.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

What Will I Do Next? The Intention from Motion Experiment.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

When Kernel Methods Meet Feature Learning: Log-Covariance Network for Action Recognition From Skeletal Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Intention from Motion.

[BibT_eX]

[DOI]

CoRR, 2016

Active Regression with Adaptive Huber Loss.

[BibT_eX]

[DOI]