Pablo Márquez-Neila

76 papers A* 6A 3B 1Journal 45Unranked 20
YearRankTypeTitle / Venue / Authors
2025 A conf
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation.
WACV
Fei Wu, Pablo Márquez-Neila, Hedyeh Rafii-Tari, Raphael Sznitman
2025 J jnl
Inferring geometry and material properties from Mueller matrices with machine learning.
CoRR
Lars Doorenbos, C. H. Lucas Patty, Raphael Sznitman, Pablo Márquez-Neila
2025 — conf
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection.
MICCAI (6)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2025 A conf
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation.
WACV
Javier Gamazo Tejero, Moritz Schmid, Pablo Márquez-Neila, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman
2025 J jnl
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation.
CoRR
Javier Gamazo Tejero, Moritz Schmid, Pablo Márquez-Neila, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman
2024 J jnl
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation.
CoRR
Fei Wu, Pablo Márquez-Neila, Hedyeh Rafii-Tari, Raphael Sznitman
2024 J jnl
Continual Unsupervised Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 A conf
Correlation-aware active learning for surgery video segmentation.
WACV
Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman
2024 J jnl
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models.
CoRR
Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila
2024 J jnl
Hyperbolic Random Forests.
Trans. Mach. Learn. Res.
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
2024 J jnl
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 — conf
Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection.
ECCV (52)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 — conf
Masked Image Modelling for Retinal OCT Understanding.
OMIA@MICCAI
Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
2024 J jnl
Masked Image Modelling for retinal OCT understanding.
CoRR
Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
2024 J jnl
Non-Linear Outlier Synthesis for Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2024 — conf
Online 3D Reconstruction and Dense Tracking in Endoscopic Videos.
MICCAI (6)
Michel Hayoz, Christopher Hahne, Thomas Kurmann, Max Allan, Guido Beldi, Daniel Candinas, Pablo Márquez-Neila, Raphael Sznitman
2024 J jnl
Online 3D reconstruction and dense tracking in endoscopic videos.
CoRR
Michel Hayoz, Christopher Hahne, Thomas Kurmann, Max Allan, Guido Beldi, Daniel Candinas, Pablo Márquez-Neila, Raphael Sznitman
2024 — conf
Targeted Visual Prompting for Medical Visual Question Answering.
AMAI@MICCAI
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2024 J jnl
Targeted Visual Prompting for Medical Visual Question Answering.
CoRR
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2023 J jnl
Correlation-aware active learning for surgery video segmentation.
CoRR
Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman
2023 — conf
Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training.
MICCAI (1)
Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman
2023 J jnl
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training.
CoRR
Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman
2023 A* conf
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns.
CVPR
Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila
2023 J jnl
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns.
CoRR
Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila
2023 J jnl
Hyperbolic Random Forests.
CoRR
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
2023 — conf
Localized Questions in Medical Visual Question Answering.
MICCAI (2)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2023 J jnl
Localized Questions in Medical Visual Question Answering.
CoRR
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2023 A* conf
Logical Implications for Visual Question Answering Consistency.
CVPR
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2023 J jnl
Logical Implications for Visual Question Answering Consistency.
CoRR
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2023 A* conf
Stochastic Segmentation with Conditional Categorical Diffusion Models.
ICCV
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila
2023 J jnl
Stochastic Segmentation with Conditional Categorical Diffusion Models.
CoRR
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila
2023 J jnl
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery.
Int. J. Comput. Assist. Radiol. Surg.
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
2023 J jnl
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery.
CoRR
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
2022 — conf
Consistency-Preserving Visual Question Answering in Medical Imaging.
MICCAI (8)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2022 J jnl
Consistency-preserving Visual Question Answering in Medical Imaging.
CoRR
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
2022 — conf
Data Invariants to Understand Unsupervised Out-of-Distribution Detection.
ECCV (31)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2022 J jnl
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection.
CoRR
Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila
2021 — conf
CataNet: Predicting Remaining Cataract Surgery Duration.
MICCAI (4)
Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
2021 J jnl
CataNet: Predicting remaining cataract surgery duration.
CoRR
Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman
2021 J jnl
Data Invariants to Understand Unsupervised Out-of-Distribution Detection.
CoRR
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2021 J jnl
Mask then classify: multi-instance segmentation for surgical instruments.
Int. J. Comput. Assist. Radiol. Surg.
Thomas Kurmann, Pablo Márquez-Neila, Max Allan, Sebastian Wolf, Raphael Sznitman
2021 — conf
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes.
MIDOG/MOOD/Learn2Reg@MICCAI
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
2020 J jnl
Real-Time Camera Pose Estimation for Sports Fields.
CoRR
Leonardo Citraro, Pablo Márquez-Neila, Stefano Savare, Vivek Jayaram, Charles Dubout, Félix Renaut, Andres Hasfura, Horesh Ben Shitrit, Pascal Fua
2020 J jnl
Real-time camera pose estimation for sports fields.
Mach. Vis. Appl.
Leonardo Citraro, Pablo Márquez-Neila, Stefano Savare, Vivek Jayaram, Charles Dubout, Félix Renaut, Andres Hasfura, Horesh Ben Shitrit, Pascal Fua
2020 J jnl
Simulation of hyperelastic materials in real-time using deep learning.
Medical Image Anal.
Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin
2019 J jnl
Deep Multi Label Classification in Affine Subspaces.
CoRR
Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman
2019 — conf
Deep Multi-label Classification in Affine Subspaces.
MICCAI (1)
Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman
2019 — conf
Fused Detection of Retinal Biomarkers in OCT Volumes.
MICCAI (1)
Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman
2019 J jnl
Fused Detection of Retinal Biomarkers in OCT Volumes.
CoRR
Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman
2019 — conf
Image Data Validation for Medical Systems.
MICCAI (4)
Pablo Márquez-Neila, Raphael Sznitman
2019 J jnl
Patient-attentive sequential strategy for perimetry-based visual field acquisition.
Medical Image Anal.
Serife Seda Kucur, Pablo Márquez-Neila, Mathias Abegg, Raphael Sznitman
2019 J jnl
Self-Binarizing Networks.
CoRR
Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk
2019 J jnl
Simulation of hyperelastic materials in real-time using Deep Learning.
CoRR
Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin
2018 — conf
A domain-adaptive two-stream U-Net for electron microscopy image segmentation.
ISBI
Róger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2018 A* conf
Beyond the Pixel-Wise Loss for Topology-Aware Delineation.
CVPR
Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua
2018 — conf
Scale-Adaptive Superpixels.
CIC
Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk
2017 J jnl
Beyond the Pixel-Wise Loss for Topology-Aware Delineation.
CoRR
Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua
2017 J jnl
Imposing Hard Constraints on Deep Networks: Promises and Limitations.
CoRR
Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2017 A* conf
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation.
ICCV
Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2017 — conf
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery.
MICCAI (2)
Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman
2017 J jnl
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery.
CoRR
Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman
2016 J jnl
A Fast Method for the Segmentation of Synaptic Junctions and Mitochondria in Serial Electron Microscopic Images of the Brain.
Neuroinformatics
Pablo Márquez-Neila, Luis Baumela, Juncal González-Soriano, José-Rodrigo Rodríguez, Javier DeFelipe, Ángel Merchán-Pérez
2016 J jnl
Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation.
CoRR
Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2016 J jnl
Speeding-up homography estimation in mobile devices.
J. Real Time Image Process.
Pablo Márquez-Neila, Javier López-Alberca, José Miguel Buenaposada, Luis Baumela
2016 J jnl
Uniform Information Segmentation.
CoRR
Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk
2015 J jnl
Learning Structured Models for Segmentation of 2-D and 3-D Imagery.
IEEE Trans. Medical Imaging
Aurélien Lucchi, Pablo Márquez-Neila, Carlos J. Becker, Yunpeng Li, Kevin Smith, Graham Knott, Pascal Fua
2015 J jnl
Rationalizing Efficient Compositional Image Alignment - The Constant Jacobian Gauss-Newton Optimization Algorithm.
Int. J. Comput. Vis.
Enrique Muñoz, Pablo Márquez-Neila, Luis Baumela
2014 B conf
A Comparative Study of Feature Descriptors for Mitochondria and Synapse Segmentation.
ICPR
Kendrick Cetina, Pablo Márquez-Neila, Luis Baumela
2014 J jnl
A Morphological Approach to Curvature-Based Evolution of Curves and Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Pablo Márquez-Neila, Luis Baumela, Luis Álvarez
2014 — conf
Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation.
MICCAI (1)
Aurélien Lucchi, Carlos J. Becker, Pablo Márquez-Neila, Pascal Fua
2014 — —
Higher-order regularization and morphological techniques for image segmentation.
Pablo Márquez-Neila
2014 — conf
Non-parametric Higher-Order Random Fields for Image Segmentation.
ECCV (6)
Pablo Márquez-Neila, Pushmeet Kohli, Carsten Rother, Luis Baumela
2012 J jnl
A Real Time Morphological Snakes Algorithm.
Image Process. Line
Luis Álvarez, Luis Baumela, Pablo Márquez-Neila, Pedro Henríquez
2010 J jnl
A flexible framework to ease nearest neighbor search in multidimensional data spaces.
Data Knowl. Eng.
Manuel Barrena García, Elena Jurado, Pablo Márquez-Neila, Carlos Pachón
2010 A* conf
Morphological snakes.
CVPR
Luis Álvarez, Luis Baumela, Pedro Henríquez, Pablo Márquez-Neila
2008 — conf
Improving RANSAC for fast landmark recognition.
CVPR Workshops
Pablo Márquez-Neila, Jacobo Garcia Miro, José Miguel Buenaposada, Luis Baumela