Adria Ruiz

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 32

Top Topics

Pose Estimation

Top Venues

Publications

Joaquim Comas, Antònia Alomar, Adria Ruiz, Federico Sukno
PhysFlow: Skin tone transfer for remote heart rate estimation through conditional normalizing flows. CoRR (2024)
Joaquim Comas, Adria Ruiz, Federico Sukno
Deep adaptative spectral zoom for improved remote heart rate estimation. FG (2024)
Jianxiong Shen, Ruijie Ren, Adria Ruiz, Francesc Moreno-Noguer
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields. ICRA (2024)
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer
PIRO: Permutation-Invariant Relational Network for Multi-Person 3D Pose Estimation. VISIGRAPP (4): VISAPP (2024)
Joaquim Comas, Adria Ruiz, Federico Sukno
Deep adaptative spectral zoom for improved remote heart rate estimation. CoRR (2024)
Joaquim Comas, Adria Ruiz, Federico Sukno
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos. CoRR (2024)
Jianxiong Shen, Ruijie Ren, Adria Ruiz, Francesc Moreno-Noguer
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields. CoRR (2023)
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation. CoRR (2022)
Jianxiong Shen, Antonio Agudo, Francesc Moreno-Noguer, Adria Ruiz
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification. CoRR (2022)
Jianxiong Shen, Antonio Agudo, Francesc Moreno-Noguer, Adria Ruiz
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification. ECCV (3) (2022)
Joaquim Comas, Adria Ruiz, Federico Sukno
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss. CoRR (2022)
Joaquim Comas, Adria Ruiz, Federico Sukno
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss. CVPR Workshops (2022)
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images. 3DV (2021)
Jianxiong Shen, Adria Ruiz, Antonio Agudo, Francesc Moreno-Noguer
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations. CoRR (2021)
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images. CoRR (2021)
Adria Ruiz, Antonio Agudo, Francesc Moreno-Noguer
Generating Attribution Maps with Disentangled Masked Backpropagation. ICCV (2021)
Jianxiong Shen, Adria Ruiz, Antonio Agudo, Francesc Moreno-Noguer
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations. 3DV (2021)
Adria Ruiz, Jakob Verbeek
Anytime Inference with Distilled Hierarchical Neural Ensembles. AAAI (2021)
Adria Ruiz, Antonio Agudo, Francesc Moreno
Generating Attribution Maps with Disentangled Masked Backpropagation. CoRR (2021)
Adria Ruiz, Jakob Verbeek
Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost. CoRR (2020)
Adria Ruiz, Jakob Verbeek
Adaptative Inference Cost With Convolutional Neural Mixture Models. ICCV (2019)
Dmytro Derkach, Adria Ruiz, Federico M. Sukno
Tensor Decomposition and Non-linear Manifold Modeling for 3D Head Pose Estimation. Int. J. Comput. Vis. 127 (10) (2019)
Adria Ruiz, Oriol Martínez, Xavier Binefa, Jakob Verbeek
Learning Disentangled Representations with Reference-Based Variational Autoencoders. CoRR (2019)
Adria Ruiz, Jakob Verbeek
Adaptative Inference Cost With Convolutional Neural Mixture Models. CoRR (2019)
Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic
Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis. IEEE Trans. Image Process. 27 (8) (2018)
Dmytro Derkach, Adria Ruiz, Federico Sukno
3D Head Pose Estimation Using Tensor Decomposition and Non-linear Manifold Modeling. 3DV (2018)
Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis. CoRR (2018)
Adria Ruiz, Oriol Martínez, Xavier Binefa, Federico M. Sukno
Fusion of Valence and Arousal Annotations through Dynamic Subjective Ordinal Modelling. FG (2017)
Dmytro Derkach, Adria Ruiz, Federico M. Sukno
Head Pose Estimation Based on 3-D Facial Landmarks Localization and Regression. FG (2017)
Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic
Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation. ACCV (2) (2016)
Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation. CoRR (2016)
Federico Sukno, Mónica Domínguez, Adria Ruiz, Dominik Schiller, Florian Lingenfelser, Louisa Pragst, Eleni Kamateri, Stefanos Vrochidis
A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain. MARMI@ICMR (2016)
Adria Ruiz, Joost van de Weijer, Xavier Binefa
From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning. ICCV (2015)
Adria Ruiz, Joost van de Weijer, Xavier Binefa
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization. BMVC (2014)
Josep Suquet, Pompeu Casanovas, Xavier Binefa, Oriol Martínez, Adria Ruiz, Jordi Ceballos
Consumedia. Functionalities, Emotion Detection and Automation of Services in a ODR Platform. AICOL (2013)
Adria Ruiz, Xavier Binefa
Modelling facial expressions dynamics with Gaussian Process Regression. CCIA (2012)