Pablo Márquez-Neila

According to our database, Pablo Márquez-Neila authored at least 43 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correlation-aware active learning for surgery video segmentation.

Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Hyperbolic Random Forests.

Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes

CoRR, 2023

Stochastic Segmentation with Conditional Categorical Diffusion Models.

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 2023

Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery.

Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., 2023

Localized Questions in Medical Visual Question Answering.

Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training.

Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Stochastic Segmentation with Conditional Categorical Diffusion Models.

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns.

Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Logical Implications for Visual Question Answering Consistency.

Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection.

Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 2022

Consistency-Preserving Visual Question Answering in Medical Imaging.

Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Data Invariants to Understand Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Mask then classify: multi-instance segmentation for surgical instruments.

Thomas Kurmann, Pablo Márquez-Neila, Max Allan, Sebastian Wolf, Raphael Sznitman

Int. J. Comput. Assist. Radiol. Surg., 2021

CataNet: Predicting Remaining Cataract Surgery Duration.

Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

2020

Real-time camera pose estimation for sports fields.

Leonardo Citraro, Pablo Márquez-Neila, Stefano Savare, Vivek Jayaram, Charles Dubout, Félix Renaut, Andres Hasfura, Horesh Ben Shitrit, Pascal Fua

Mach. Vis. Appl., 2020

Simulation of hyperelastic materials in real-time using deep learning.

Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin

Medical Image Anal., 2020

2019

Patient-attentive sequential strategy for perimetry-based visual field acquisition.

Serife Seda Kucur, Pablo Márquez-Neila, Mathias Abegg, Raphael Sznitman

Medical Image Anal., 2019

Self-Binarizing Networks.

Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk

CoRR, 2019

Image Data Validation for Medical Systems.

Pablo Márquez-Neila, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Fused Detection of Retinal Biomarkers in OCT Volumes.

Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Multi-label Classification in Affine Subspaces.

Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

A domain-adaptive two-stream U-Net for electron microscopy image segmentation.

Róger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Scale-Adaptive Superpixels.

Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk

Proceedings of the 26th Color and Imaging Conference, 2018

Beyond the Pixel-Wise Loss for Topology-Aware Delineation.

Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Imposing Hard Constraints on Deep Networks: Promises and Limitations.

Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

CoRR, 2017

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery.

Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation.

Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

A Fast Method for the Segmentation of Synaptic Junctions and Mitochondria in Serial Electron Microscopic Images of the Brain.

Pablo Márquez-Neila, Luis Baumela, Juncal González-Soriano, José-Rodrigo Rodríguez, Javier DeFelipe, Ángel Merchán-Pérez

Neuroinformatics, 2016

Speeding-up homography estimation in mobile devices.

Pablo Márquez-Neila, Javier López-Alberca, José Miguel Buenaposada, Luis Baumela

J. Real Time Image Process., 2016

Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation.

Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

CoRR, 2016

Uniform Information Segmentation.

Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk

CoRR, 2016

2015

Learning Structured Models for Segmentation of 2-D and 3-D Imagery.

Aurélien Lucchi, Pablo Márquez-Neila, Carlos J. Becker, Yunpeng Li, Kevin Smith, Graham Knott, Pascal Fua

IEEE Trans. Medical Imaging, 2015

Rationalizing Efficient Compositional Image Alignment - The Constant Jacobian Gauss-Newton Optimization Algorithm.

Enrique Muñoz, Pablo Márquez-Neila, Luis Baumela

Int. J. Comput. Vis., 2015

2014

Higher-order regularization and morphological techniques for image segmentation.

Pablo Márquez-Neila

PhD thesis, 2014

A Morphological Approach to Curvature-Based Evolution of Curves and Surfaces.

Pablo Márquez-Neila, Luis Baumela, Luis Álvarez

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation.

Aurélien Lucchi, Carlos J. Becker, Pablo Márquez-Neila, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Comparative Study of Feature Descriptors for Mitochondria and Synapse Segmentation.

Kendrick Cetina, Pablo Márquez-Neila, Luis Baumela

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Non-parametric Higher-Order Random Fields for Image Segmentation.

Pablo Márquez-Neila, Pushmeet Kohli, Carsten Rother, Luis Baumela

Proceedings of the Computer Vision - ECCV 2014, 2014

2012

A Real Time Morphological Snakes Algorithm.

Luis Álvarez, Luis Baumela, Pablo Márquez-Neila, Pedro Henríquez

Image Process. Line, 2012

2010

A flexible framework to ease nearest neighbor search in multidimensional data spaces.

Manuel Barrena García, Elena Jurado, Pablo Márquez-Neila, Carlos Pachón

Data Knowl. Eng., 2010

Morphological snakes.

Luis Álvarez, Luis Baumela, Pedro Henríquez, Pablo Márquez-Neila

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Improving RANSAC for fast landmark recognition.

Pablo Márquez-Neila, Jacobo Garcia Miro, José Miguel Buenaposada, Luis Baumela

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008