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Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach

International journal of computer vision, 2020, Vol.128 (1), p.220-239

2020

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Understanding action concepts from videos and brain activity through subjects' consensus

Scientific reports, 2022-11, Vol.12 (1), p.19073-19073, Article 19073

2022

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No Adversaries to Zero-Shot Learning: Distilling an Ensemble of Gaussian Feature Generators

IEEE transactions on pattern analysis and machine intelligence, 2023-10, Vol.45 (10), p.12167-12178

2023

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

Pattern recognition, 2019-09, Vol.93, p.25-35

2019

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Curriculum Dropout

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.3564-3572

2017

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Revisiting Human Action Recognition: Personalization vs. Generalization

Image Analysis and Processing - ICIAP 2017, p.469-480

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Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.6035-6042

2021

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Transductive Zero-Shot Learning by Decoupled Feature Generation

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021, p.3108-3117

2021

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

Science robotics, 2020-09, Vol.5 (46)

2020

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Towards Open Zero-Shot Learning

Image Analysis and Processing – ICIAP 2022, p.564-575

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

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.6592-6599

2021

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Kernelized covariance for action recognition

2016 23rd International Conference on Pattern Recognition (ICPR), 2016, p.408-413

2016

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A Compact Kernel Approximation for 3D Action Recognition

Image Analysis and Processing - ICIAP 2017, p.211-222

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Learning Unbiased Representations via Mutual Information Backpropagation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, p.2723-2732

2021

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Semantically Grounded Visual Embeddings for Zero-Shot Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022, p.4588-4598

2022

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Unsupervised Learning of Speckle Removal from Real Ultrasound Acquisitions without Clean Data

2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2024, p.1-6

2024

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

2023 International Workshop on Biomedical Applications, Technologies and Sensors (BATS), 2023, p.68-73

2023

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

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019, p.1298-1307

2019

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

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, p.1251-1258

2017

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What Will I Do Next? The Intention from Motion Experiment

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, p.1-8

2017

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Insights on the best release strategy from post-release movements and mortality patterns in an avian scavenger

iScience, 2023-05, Vol.26 (5), p.106699-106699, Article 106699

2023

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Causes and length of stay of readmission among individuals with traumatic spinal cord injury: a prospective observational cohort study

Spinal cord, 2023-07, Vol.61 (7), p.383-390

2023

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Survival and Recurrence in Vitreoretinal Lymphoma Simulating Uveitis at Presentation: The Possible Role of Combined Chemotherapy

Ocular immunology and inflammation, 2022-11, Vol.30 (7-8), p.1833-1841

2022

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Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach

Understanding action concepts from videos and brain activity through subjects' consensus

No Adversaries to Zero-Shot Learning: Distilling an Ensemble of Gaussian Feature Generators

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

Curriculum Dropout

Revisiting Human Action Recognition: Personalization vs. Generalization

Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning

Transductive Zero-Shot Learning by Decoupled Feature Generation

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

Towards Open Zero-Shot Learning

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

Kernelized covariance for action recognition

A Compact Kernel Approximation for 3D Action Recognition

Learning Unbiased Representations via Mutual Information Backpropagation

Semantically Grounded Visual Embeddings for Zero-Shot Learning

Unsupervised Learning of Speckle Removal from Real Ultrasound Acquisitions without Clean Data

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

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

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

What Will I Do Next? The Intention from Motion Experiment

Insights on the best release strategy from post-release movements and mortality patterns in an avian scavenger

Causes and length of stay of readmission among individuals with traumatic spinal cord injury: a prospective observational cohort study

Survival and Recurrence in Vitreoretinal Lymphoma Simulating Uveitis at Presentation: The Possible Role of Combined Chemotherapy

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