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2020 – today
- 2025
[i31]Javier Gamazo Tejero, Moritz Schmid, Pablo Márquez-Neila, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman:
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation. CoRR abs/2501.06836 (2025)- 2024
- [j13]Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes:
Hyperbolic Random Forests. Trans. Mach. Learn. Res. 2024 (2024) - [c27]Lars Doorenbos
, Raphael Sznitman, Pablo Márquez-Neila:
Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection. ECCV (52) 2024: 310-327 - [c26]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Targeted Visual Prompting for Medical Visual Question Answering. AMAI@MICCAI 2024: 64-73 - [c25]Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
Masked Image Modelling for Retinal OCT Understanding. OMIA@MICCAI 2024: 115-125 - [c24]Michel Hayoz, Christopher Hahne, Thomas Kurmann, Max Allan, Guido Beldi, Daniel Candinas, Pablo Márquez-Neila, Raphael Sznitman:
Online 3D Reconstruction and Dense Tracking in Endoscopic Videos. MICCAI (6) 2024: 444-454 - [c23]Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman:
Correlation-aware active learning for surgery video segmentation. WACV 2024: 1999-2009 - [i30]Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
Masked Image Modelling for retinal OCT understanding. CoRR abs/2405.14788 (2024) - [i29]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Continual Unsupervised Out-of-Distribution Detection. CoRR abs/2406.02327 (2024) - [i28]Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila:
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. CoRR abs/2406.18175 (2024) - [i27]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection. CoRR abs/2407.04022 (2024) - [i26]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Targeted Visual Prompting for Medical Visual Question Answering. CoRR abs/2408.03043 (2024) - [i25]Michel Hayoz, Christopher Hahne, Thomas Kurmann, Max Allan, Guido Beldi, Daniel Candinas, Pablo Márquez-Neila, Raphael Sznitman:
Online 3D reconstruction and dense tracking in endoscopic videos. CoRR abs/2409.06037 (2024) - [i24]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Non-Linear Outlier Synthesis for Out-of-Distribution Detection. CoRR abs/2411.13619 (2024) - [i23]Fei Wu, Pablo Márquez-Neila, Hedyeh Rafii-Tari, Raphael Sznitman:
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation. CoRR abs/2412.06470 (2024) - 2023
- [j12]Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman:
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. Int. J. Comput. Assist. Radiol. Surg. 18(6): 1085-1091 (2023) - [c22]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Logical Implications for Visual Question Answering Consistency. CVPR 2023: 6725-6735 - [c21]Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila:
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns. CVPR 2023: 11381-11391 - [c20]Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila:
Stochastic Segmentation with Conditional Categorical Diffusion Models. ICCV 2023: 1119-1129 - [c19]Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman:
Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. MICCAI (1) 2023: 331-341 - [c18]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Localized Questions in Medical Visual Question Answering. MICCAI (2) 2023: 361-370 - [i22]Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila:
Stochastic Segmentation with Conditional Categorical Diffusion Models. CoRR abs/2303.08888 (2023) - [i21]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Logical Implications for Visual Question Answering Consistency. CoRR abs/2303.09427 (2023) - [i20]Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila:
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns. CoRR abs/2303.11678 (2023) - [i19]Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman:
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery. CoRR abs/2304.05040 (2023) - [i18]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Localized Questions in Medical Visual Question Answering. CoRR abs/2307.01067 (2023) - [i17]Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman:
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training. CoRR abs/2307.16660 (2023) - [i16]Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes:
Hyperbolic Random Forests. CoRR abs/2308.13279 (2023) - [i15]Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman:
Correlation-aware active learning for surgery video segmentation. CoRR abs/2311.08811 (2023) - 2022
- [c17]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. ECCV (31) 2022: 133-150 - [c16]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Consistency-Preserving Visual Question Answering in Medical Imaging. MICCAI (8) 2022: 386-395 - [i14]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Consistency-preserving Visual Question Answering in Medical Imaging. CoRR abs/2206.13296 (2022) - [i13]Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila:
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. CoRR abs/2208.10984 (2022) - 2021
- [j11]Thomas Kurmann, Pablo Márquez-Neila, Max Allan, Sebastian Wolf, Raphael Sznitman:
Mask then classify: multi-instance segmentation for surgical instruments. Int. J. Comput. Assist. Radiol. Surg. 16(7): 1227-1236 (2021) - [c15]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 111-118 - [c14]Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
CataNet: Predicting Remaining Cataract Surgery Duration. MICCAI (4) 2021: 426-435 - [i12]Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
CataNet: Predicting remaining cataract surgery duration. CoRR abs/2106.11048 (2021) - [i11]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. CoRR abs/2111.13362 (2021) - 2020
- [j10]Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin:
Simulation of hyperelastic materials in real-time using deep learning. Medical Image Anal. 59 (2020) - [j9]Leonardo Citraro, Pablo Márquez-Neila, Stefano Savare, Vivek Jayaram, Charles Dubout, Félix Renaut, Andres Hasfura, Horesh Ben Shitrit, Pascal Fua:
Real-time camera pose estimation for sports fields. Mach. Vis. Appl. 31(3): 16 (2020) - [i10]Leonardo Citraro, Pablo Márquez-Neila, Stefano Savare, Vivek Jayaram, Charles Dubout, Félix Renaut, Andres Hasfura, Horesh Ben Shitrit, Pascal Fua:
Real-Time Camera Pose Estimation for Sports Fields. CoRR abs/2003.14109 (2020)
2010 – 2019
- 2019
- [j8]Serife Seda Kucur, Pablo Márquez-Neila, Mathias Abegg, Raphael Sznitman:
Patient-attentive sequential strategy for perimetry-based visual field acquisition. Medical Image Anal. 54: 179-192 (2019) - [c13]Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman:
Deep Multi-label Classification in Affine Subspaces. MICCAI (1) 2019: 165-173 - [c12]Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman:
Fused Detection of Retinal Biomarkers in OCT Volumes. MICCAI (1) 2019: 255-263 - [c11]Pablo Márquez-Neila, Raphael Sznitman:
Image Data Validation for Medical Systems. MICCAI (4) 2019: 329-337 - [i9]Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk:
Self-Binarizing Networks. CoRR abs/1902.00730 (2019) - [i8]Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin:
Simulation of hyperelastic materials in real-time using Deep Learning. CoRR abs/1904.06197 (2019) - [i7]Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman:
Deep Multi Label Classification in Affine Subspaces. CoRR abs/1907.04563 (2019) - [i6]Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman:
Fused Detection of Retinal Biomarkers in OCT Volumes. CoRR abs/1907.06955 (2019) - 2018
- [c10]Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua:
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CVPR 2018: 3136-3145 - [c9]Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk:
Scale-Adaptive Superpixels. CIC 2018: 1-6 - [c8]Róger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
A domain-adaptive two-stream U-Net for electron microscopy image segmentation. ISBI 2018: 400-404 - 2017
- [c7]Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation. ICCV 2017: 3961-3970 - [c6]Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman:
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. MICCAI (2) 2017: 505-513 - [i5]Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
Imposing Hard Constraints on Deep Networks: Promises and Limitations. CoRR abs/1706.02025 (2017) - [i4]Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman:
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. CoRR abs/1710.06668 (2017) - [i3]Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua:
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. CoRR abs/1712.02190 (2017) - 2016
- [j7]Pablo Márquez-Neila, Javier López-Alberca, José Miguel Buenaposada, Luis Baumela:
Speeding-up homography estimation in mobile devices. J. Real Time Image Process. 11(1): 141-154 (2016) - [j6]Pablo Márquez-Neila, Luis Baumela, Juncal González-Soriano, José-Rodrigo Rodríguez, Javier DeFelipe, Ángel Merchán-Pérez:
A Fast Method for the Segmentation of Synaptic Junctions and Mitochondria in Serial Electron Microscopic Images of the Brain. Neuroinformatics 14(2): 235-250 (2016) - [i2]Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation. CoRR abs/1611.05708 (2016) - [i1]Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk:
Uniform Information Segmentation. CoRR abs/1611.08896 (2016) - 2015
- [j5]Enrique Muñoz, Pablo Márquez-Neila, Luis Baumela:
Rationalizing Efficient Compositional Image Alignment - The Constant Jacobian Gauss-Newton Optimization Algorithm. Int. J. Comput. Vis. 112(3): 354-372 (2015) - [j4]Aurélien Lucchi, Pablo Márquez-Neila, Carlos J. Becker, Yunpeng Li, Kevin Smith, Graham Knott, Pascal Fua:
Learning Structured Models for Segmentation of 2-D and 3-D Imagery. IEEE Trans. Medical Imaging 34(5): 1096-1110 (2015) - 2014
- [b1]Pablo Márquez-Neila:
Higher-order regularization and morphological techniques for image segmentation. Technical University of Madrid, Spain, 2014 - [j3]Pablo Márquez-Neila, Luis Baumela, Luis Álvarez:
A Morphological Approach to Curvature-Based Evolution of Curves and Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 2-17 (2014) - [c5]Pablo Márquez-Neila, Pushmeet Kohli, Carsten Rother, Luis Baumela:
Non-parametric Higher-Order Random Fields for Image Segmentation. ECCV (6) 2014: 269-284 - [c4]Kendrick Cetina, Pablo Márquez-Neila, Luis Baumela:
A Comparative Study of Feature Descriptors for Mitochondria and Synapse Segmentation. ICPR 2014: 3215-3220 - [c3]Aurélien Lucchi, Carlos J. Becker, Pablo Márquez-Neila, Pascal Fua:
Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation. MICCAI (1) 2014: 65-72 - 2012
- [j2]Luis Álvarez, Luis Baumela, Pablo Márquez-Neila, Pedro Henríquez:
A Real Time Morphological Snakes Algorithm. Image Process. Line 2: 1-7 (2012) - 2010
- [j1]Manuel Barrena García, Elena Jurado, Pablo Márquez-Neila, Carlos Pachón:
A flexible framework to ease nearest neighbor search in multidimensional data spaces. Data Knowl. Eng. 69(1): 116-136 (2010) - [c2]Luis Álvarez, Luis Baumela, Pedro Henríquez, Pablo Márquez-Neila:
Morphological snakes. CVPR 2010: 2197-2202
2000 – 2009
- 2008
- [c1]Pablo Márquez-Neila, Jacobo Garcia Miro, José Miguel Buenaposada, Luis Baumela:
Improving RANSAC for fast landmark recognition. CVPR Workshops 2008: 1-8
Coauthor Index
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last updated on 2025-03-04 21:23 CET by the dblp team
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