Adria Ruiz

Orcid: 0000-0001-7210-1378

According to our database1, Adria Ruiz authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep adaptative spectral zoom for improved remote heart rate estimation.
CoRR, 2024

PIRO: Permutation-Invariant Relational Network for Multi-Person 3D Pose Estimation.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields.
CoRR, 2023

2022
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation.
CoRR, 2022

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Generating Attribution Maps with Disentangled Masked Backpropagation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Anytime Inference with Distilled Hierarchical Neural Ensembles.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images.
Proceedings of the International Conference on 3D Vision, 2021

Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations.
Proceedings of the International Conference on 3D Vision, 2021

2020
Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost.
CoRR, 2020

2019
Precise Localization for Aerial Inspection Using Augmented Reality Markers.
Proceedings of the Aerial Robotic Manipulation - Research, Development and Applications, 2019

Tensor Decomposition and Non-linear Manifold Modeling for 3D Head Pose Estimation.
Int. J. Comput. Vis., 2019

Learning Disentangled Representations with Reference-Based Variational Autoencoders.
CoRR, 2019

Adaptative Inference Cost With Convolutional Neural Mixture Models.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis.
IEEE Trans. Image Process., 2018

3D Head Pose Estimation Using Tensor Decomposition and Non-linear Manifold Modeling.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Weakly-supervised learning for automatic facial behaviour analysis.
PhD thesis, 2017

Fusion of Valence and Arousal Annotations through Dynamic Subjective Ordinal Modelling.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Head Pose Estimation Based on 3-D Facial Landmarks Localization and Regression.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain.
Proceedings of the 1st International Workshop on Multimedia Analysis and Retrieval for Multimodal Interaction, 2016

Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization.
Proceedings of the British Machine Vision Conference, 2014

2013
Consumedia. Functionalities, Emotion Detection and Automation of Services in a ODR Platform.
Proceedings of the AI Approaches to the Complexity of Legal Systems, 2013

2012
Modelling facial expressions dynamics with Gaussian Process Regression.
Proceedings of the Artificial Intelligence Research and Development, 2012


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