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Adria Ruiz
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Books and Theses
- 2017
- [b1]Adria Ruiz:
Weakly-supervised learning for automatic facial behaviour analysis. Pompeu Fabra University, Spain, 2017
Journal Articles
- 2019
- [j2]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): 1565-1585 (2019) - 2018
- [j1]Adria Ruiz
Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis. IEEE Trans. Image Process. 27(8): 3969-3982 (2018)
Conference and Workshop Papers
- 2024
- [c19]Joaquim Comas, Adria Ruiz, Federico Sukno:
Deep adaptative spectral zoom for improved remote heart rate estimation. FG 2024: 1-10 - [c18]Jianxiong Shen, Ruijie Ren, Adria Ruiz, Francesc Moreno-Noguer:
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields. ICRA 2024: 2375-2381 - [c17]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: 295-305 - 2022
- [c16]Joaquim Comas, Adria Ruiz, Federico Sukno:
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss. CVPR Workshops 2022: 2181-2190 - [c15]Jianxiong Shen, Antonio Agudo
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification. ECCV (3) 2022: 540-557 - 2021
- [c14]Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images. 3DV 2021: 53-63 - [c13]Jianxiong Shen, Adria Ruiz, Antonio Agudo
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations. 3DV 2021: 972-981 - [c12]Adria Ruiz, Jakob Verbeek:
Anytime Inference with Distilled Hierarchical Neural Ensembles. AAAI 2021: 9463-9471 - [c11]Adria Ruiz, Antonio Agudo
Generating Attribution Maps with Disentangled Masked Backpropagation. ICCV 2021: 885-894 - 2019
- [c10]Adria Ruiz, Jakob Verbeek:
Adaptative Inference Cost With Convolutional Neural Mixture Models. ICCV 2019: 1872-1881 - 2018
- [c9]Dmytro Derkach, Adria Ruiz, Federico Sukno:
3D Head Pose Estimation Using Tensor Decomposition and Non-linear Manifold Modeling. 3DV 2018: 505-513 - 2017
- [c8]Adria Ruiz, Oriol Martínez, Xavier Binefa, Federico M. Sukno
Fusion of Valence and Arousal Annotations through Dynamic Subjective Ordinal Modelling. FG 2017: 331-338 - [c7]Dmytro Derkach, Adria Ruiz, Federico M. Sukno
Head Pose Estimation Based on 3-D Facial Landmarks Localization and Regression. FG 2017: 820-827 - 2016
- [c6]Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic:
Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation. ACCV (2) 2016: 171-186 - [c5]Federico Sukno
A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain. MARMI@ICMR 2016: 9-14 - 2015
- [c4]Adria Ruiz, Joost van de Weijer
From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning. ICCV 2015: 3703-3711 - 2014
- [c3]Adria Ruiz, Joost van de Weijer, Xavier Binefa:
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization. BMVC 2014 - 2013
- [c2]Josep Suquet
Consumedia. Functionalities, Emotion Detection and Automation of Services in a ODR Platform. AICOL 2013: 247-260 - 2012
- [c1]Adria Ruiz, Xavier Binefa
Modelling facial expressions dynamics with Gaussian Process Regression. CCIA 2012: 91-100
Parts in Books or Collections
- 2019
- [p1]Adrian Amor-Martinez, Adria Ruiz, Francesc Moreno-Noguer, Alberto Sanfeliu:
Precise Localization for Aerial Inspection Using Augmented Reality Markers. Aerial Robotic Manipulation 2019: 249-259
Informal and Other Publications
- 2024
- [i15]Joaquim Comas, Adria Ruiz, Federico Sukno:
Deep adaptative spectral zoom for improved remote heart rate estimation. CoRR abs/2403.06902 (2024) - [i14]Joaquim Comas, Adria Ruiz, Federico Sukno:
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos. CoRR abs/2405.02652 (2024) - [i13]Joaquim Comas, Antònia Alomar, Adria Ruiz, Federico Sukno:
PhysFlow: Skin tone transfer for remote heart rate estimation through conditional normalizing flows. CoRR abs/2407.21519 (2024) - 2023
- [i12]Jianxiong Shen, Ruijie Ren, Adria Ruiz, Francesc Moreno-Noguer:
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields. CoRR abs/2311.01815 (2023) - 2022
- [i11]Jianxiong Shen, Antonio Agudo, Francesc Moreno-Noguer, Adria Ruiz:
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification. CoRR abs/2203.10192 (2022) - [i10]Joaquim Comas, Adria Ruiz, Federico Sukno:
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss. CoRR abs/2203.10882 (2022) - [i9]Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer:
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation. CoRR abs/2204.04913 (2022) - 2021
- [i8]Adria Ruiz, Antonio Agudo, Francesc Moreno:
Generating Attribution Maps with Disentangled Masked Backpropagation. CoRR abs/2101.06773 (2021) - [i7]Jianxiong Shen, Adria Ruiz, Antonio Agudo, Francesc Moreno-Noguer:
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations. CoRR abs/2109.02123 (2021) - [i6]Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer:
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images. CoRR abs/2111.01884 (2021) - 2020
- [i5]Adria Ruiz, Jakob Verbeek:
Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost. CoRR abs/2003.01474 (2020) - 2019
- [i4]Adria Ruiz, Oriol Martínez, Xavier Binefa, Jakob Verbeek:
Learning Disentangled Representations with Reference-Based Variational Autoencoders. CoRR abs/1901.08534 (2019) - [i3]Adria Ruiz, Jakob Verbeek:
Adaptative Inference Cost With Convolutional Neural Mixture Models. CoRR abs/1908.06694 (2019) - 2018
- [i2]Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic:
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis. CoRR abs/1803.00907 (2018) - 2016
- [i1]Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic:
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation. CoRR abs/1609.01465 (2016)
Coauthor Index
aka: Francesc Moreno
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