default search action
Mathieu Aubry
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c48]Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CVPR 2024: 27874-27884 - [c47]Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros
, Mathieu Aubry
Diffusion Models as Data Mining Tools. ECCV (61) 2024: 393-409 - [c46]Malamatenia Vlachou-Efstathiou
An Interpretable Deep Learning Approach for Morphological Script Type Analysis. ICDAR (Workshops 2) 2024: 3-21 - [c45]Syrine Kalleli
Historical Astronomical Diagrams Decomposition in Geometric Primitives. ICDAR (3) 2024: 108-125 - [c44]Sayan Kumar Chaki
Historical Printed Ornaments: Dataset and Tasks. ICDAR (3) 2024: 251-270 - [c43]Ioannis Siglidis
The Learnable Typewriter: A Generative Approach to Text Analysis. ICDAR (2) 2024: 297-314 - [i49]Syrine Kalleli, Scott Trigg, Ségolène Albouy, Mathieu Husson, Mathieu Aubry:
Historical Astronomical Diagrams Decomposition in Geometric Primitives. CoRR abs/2403.08721 (2024) - [i48]Elliot Vincent, Jean Ponce, Mathieu Aubry:
Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift. CoRR abs/2407.07616 (2024) - [i47]Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar:
Diffusion Models as Data Mining Tools. CoRR abs/2408.02752 (2024) - [i46]Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel:
Historical Printed Ornaments: Dataset and Tasks. CoRR abs/2408.08633 (2024) - [i45]Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann, Mathieu Aubry:
An Interpretable Deep Learning Approach for Morphological Script Type Analysis. CoRR abs/2408.11150 (2024) - [i44]Elliot Vincent, Mehraïl Saroufim, Jonathan Chemla, Yves Ubelmann, Philippe Marquis, Jean Ponce, Mathieu Aubry:
Detecting Looted Archaeological Sites from Satellite Image Time Series. CoRR abs/2409.09432 (2024) - [i43]Raphaël Baena, Syrine Kalleli, Mathieu Aubry:
General Detection-based Text Line Recognition. CoRR abs/2409.17095 (2024) - 2023
- [c42]Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS 2023 - [i42]Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry:
The Learnable Typewriter: A Generative Approach to Text Line Analysis. CoRR abs/2302.01660 (2023) - [i41]Elliot Vincent, Jean Ponce, Mathieu Aubry:
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach. CoRR abs/2303.12533 (2023) - [i40]Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CoRR abs/2304.09704 (2023) - [i39]Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. CoRR abs/2307.05473 (2023) - [i38]Martin Cífka
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2312.02985 (2023) - 2022
- [j12]Xi Shen
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. Int. J. Comput. Vis. 130(5): 1325-1339 (2022) - [j11]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical perspective on learning with normalization layers. Neurocomputing 487: 66-74 (2022) - [c41]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL 2022: 715-725 - [c40]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CVPR 2022: 3815-3824 - [c39]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops 2022: 5078-5088 - [c38]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Improving neural implicit surfaces geometry with patch warping. CVPR 2022: 6250-6259 - [c37]Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry:
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. ECCV (1) 2022: 285-303 - [c36]Romain Loiseau
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. ECCV (38) 2022: 301-317 - [c35]Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
A Model You Can Hear: Audio Identification with Playable Prototypes. ISMIR 2022: 694-700 - [i37]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2204.05145 (2022) - [i36]Tom Monnier, Matthew Fisher, Alexei A. Efros
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. CoRR abs/2204.10310 (2022) - [i35]Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry:
Learning Joint Surface Atlases. CoRR abs/2206.06273 (2022) - [i34]Romain Loiseau, Mathieu Aubry, Loïc Landrieu:
Online Segmentation of LiDAR Sequences: Dataset and Algorithm. CoRR abs/2206.08194 (2022) - [i33]Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
A Model You Can Hear: Audio Identification with Playable Prototypes. CoRR abs/2208.03311 (2022) - [i32]Simon Roburin, Charles Corbière
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR abs/2208.12625 (2022) - [i31]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR abs/2212.06870 (2022) - 2021
- [j10]Théophile Dalens
Bilinear Image Translation for Temporal Analysis of Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1197-1212 (2021) - [c34]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Deep Multi-View Stereo Gone Wild. 3DV 2021: 484-493 - [c33]Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu:
Representing Shape Collections With Alignment-Aware Linear Models. 3DV 2021: 1044-1053 - [c32]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-View Robot Pose and Joint Angle Estimation via Render & Compare. CVPR 2021: 1654-1663 - [c31]Othman Sbai, Camille Couprie, Mathieu Aubry:
Surprising Image Compositions. CVPR Workshops 2021: 3926-3930 - [c30]Othman Sbai, Camille Couprie, Mathieu Aubry:
Surprising Image Compositions. ICCC 2021: 248-255 - [c29]Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry:
Unsupervised Layered Image Decomposition into Object Prototypes. ICCV 2021: 8620-8630 - [c28]Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris
Image Collation: Matching Illustrations in Manuscripts. ICDAR (4) 2021: 351-366 - [c27]Mathieu Aubry:
Deep Learning for Historical Data Analysis. SUMAC @ ACM Multimedia 2021: 1 - [c26]Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry:
Re-ranking for image retrieval and transductive few-shot classification. NeurIPS 2021: 25932-25943 - [i30]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-view robot pose and joint angle estimation via render & compare. CoRR abs/2104.09359 (2021) - [i29]Tom Monnier, Elliot Vincent
Unsupervised Layered Image Decomposition into Object Prototypes. CoRR abs/2104.14575 (2021) - [i28]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Deep Multi-View Stereo gone wild. CoRR abs/2104.15119 (2021) - [i27]Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris
Image Collation: Matching illustrations in manuscripts. CoRR abs/2108.08109 (2021) - [i26]Romain Loiseau
Representing Shape Collections with Alignment-Aware Linear Models. CoRR abs/2109.01605 (2021) - [i25]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR abs/2110.15904 (2021) - [i24]François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Improving neural implicit surfaces geometry with patch warping. CoRR abs/2112.09648 (2021) - 2020
- [j9]Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi Shen, Christine Benevent, Marie-Françoise Limon-Bonnet, François Bougard
A Web Application for Watermark Recognition. J. Data Min. Digit. Humanit. 2020 (2020) - [j8]Yann Labbé
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics Autom. Lett. 5(2): 3715-3722 (2020) - [c25]François Darmon, Mathieu Aubry, Pascal Monasse:
Learning to Guide Local Feature Matches. 3DV 2020: 1127-1136 - [c24]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation. ECCV (17) 2020: 574-591 - [c23]Othman Sbai, Camille Couprie, Mathieu Aubry:
Impact of Base Dataset Design on Few-Shot Image Classification. ECCV (16) 2020: 597-613 - [c22]Xi Shen, François Darmon, Alexei A. Efros
RANSAC-Flow: Generic Two-Stage Image Alignment. ECCV (4) 2020: 618-637 - [c21]Tom Monnier, Mathieu Aubry
docExtractor: An off-the-shelf historical document element extraction. ICFHR 2020: 91-96 - [c20]Othman Sbai, Camille Couprie, Mathieu Aubry:
Unsupervised Image Decomposition in Vector Layers. ICIP 2020: 1576-1580 - [c19]Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry:
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. ICPR 2020: 6810-6817 - [c18]Tom Monnier, Thibault Groueix, Mathieu Aubry:
Deep Transformation-Invariant Clustering. NeurIPS 2020 - [i23]Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry:
RANSAC-Flow: generic two-stage image alignment. CoRR abs/2004.01526 (2020) - [i22]Tom Monnier, Thibault Groueix, Mathieu Aubry:
Deep Transformation-Invariant Clustering. CoRR abs/2006.11132 (2020) - [i21]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical Perspective on Learning with Batch Norm. CoRR abs/2006.13382 (2020) - [i20]Othman Sbai, Camille Couprie, Mathieu Aubry:
Impact of base dataset design on few-shot image classification. CoRR abs/2007.08872 (2020) - [i19]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent multi-view multi-object 6D pose estimation. CoRR abs/2008.08465 (2020) - [i18]François Darmon, Mathieu Aubry, Pascal Monasse:
Learning to Guide Local Feature Matches. CoRR abs/2010.10959 (2020) - [i17]Tom Monnier, Mathieu Aubry:
docExtractor: An off-the-shelf historical document element extraction. CoRR abs/2012.08191 (2020)
2010 – 2019
- 2019
- [b2]Mathieu Aubry:
Neural Networks for Cross-Modal Recognition and Vector Object Generation. University of Paris-Est, France, 2019 - [j7]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum 38(5): 123-133 (2019) - [c17]Roberto M. Dyke
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c16]Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet:
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. BMVC 2019: 61 - [c15]Xi Shen, Alexei A. Efros
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. CVPR 2019: 9278-9287 - [c14]Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. NeurIPS 2019: 7433-7443 - [i16]Vianney Loing, Renaud Marlet, Mathieu Aubry:
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. CoRR abs/1902.02711 (2019) - [i15]Xi Shen, Alexei A. Efros, Mathieu Aubry:
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning. CoRR abs/1903.02678 (2019) - [i14]Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. CoRR abs/1904.10348 (2019) - [i13]Yang Xiao
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. CoRR abs/1906.05105 (2019) - [i12]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. CoRR abs/1907.03165 (2019) - [i11]Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. CoRR abs/1908.04725 (2019) - [i10]Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry:
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. CoRR abs/1908.10254 (2019) - 2018
- [j6]Shiry Ginosar, Xi Shen, Karan Dwivedi, Elizabeth Honig, Mathieu Aubry:
The burgeoning computer-art symbiosis. XRDS 24(3): 30-33 (2018) - [j5]Vianney Loing
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration. Int. J. Comput. Vis. 126(9): 1045-1060 (2018) - [j4]Johanna Delanoy
3D Sketching using Multi-View Deep Volumetric Prediction. Proc. ACM Comput. Graph. Interact. Tech. 1(1): 21:1-21:22 (2018) - [c13]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR 2018: 216-224 - [c12]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) 2018: 235-251 - [i9]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR abs/1802.05384 (2018) - [i8]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Shape correspondences from learnt template-based parametrization. CoRR abs/1806.05228 (2018) - [i7]Othman Sbai, Camille Couprie, Mathieu Aubry:
Vector Image Generation by Learning Parametric Layer Decomposition. CoRR abs/1812.05484 (2018) - 2017
- [i6]Johanna Delanoy, Adrien Bousseau, Mathieu Aubry, Phillip Isola, Alexei A. Efros:
What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction. CoRR abs/1707.08390 (2017) - 2016
- [c11]Rodrigo Ortiz Cayon, Abdelaziz Djelouah, Francisco Massa, Mathieu Aubry, George Drettakis:
Automatic 3D Car Model Alignment for Mixed Image-Based Rendering. 3DV 2016: 286-295 - [c10]Francisco Massa, Renaud Marlet, Mathieu Aubry:
Crafting a multi-task CNN for viewpoint estimation. BMVC 2016 - [c9]Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros
Learning Dense Correspondence via 3D-Guided Cycle Consistency. CVPR 2016: 117-126 - [c8]Francisco Massa, Bryan C. Russell, Mathieu Aubry
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CVPR 2016: 6024-6033 - [c7]Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg:
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. ICRA 2016: 1957-1964 - [p1]Mathieu Aubry, Bryan C. Russell, Josef Sivic:
Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment. Large-Scale Visual Geo-Localization 2016: 255-275 - [i5]Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, Alexei A. Efros:
Learning Dense Correspondence via 3D-guided Cycle Consistency. CoRR abs/1604.05383 (2016) - [i4]Francisco Massa, Renaud Marlet, Mathieu Aubry:
Crafting a multi-task CNN for viewpoint estimation. CoRR abs/1609.03894 (2016) - 2015
- [b1]Mathieu Aubry
Representing 3D models for alignment and recognition. (Représentations de modèles 3D pour l'alignement et la reconnaissance). École Normale Supérieure, Paris, France, 2015 - [c6]Mathieu Aubry, Bryan C. Russell:
Understanding Deep Features with Computer-Generated Imagery. ICCV 2015: 2875-2883 - [i3]Mathieu Aubry, Bryan C. Russell:
Understanding deep features with computer-generated imagery. CoRR abs/1506.01151 (2015) - [i2]Francisco Massa, Bryan C. Russell, Mathieu Aubry:
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CoRR abs/1512.02497 (2015) - 2014
- [j3]Bastian Goldlücke, Mathieu Aubry
A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. Int. J. Comput. Vis. 106(2): 172-191 (2014) - [j2]Mathieu Aubry
Painting-to-3D model alignment via discriminative visual elements. ACM Trans. Graph. 33(2): 14:1-14:14 (2014) - [j1]Mathieu Aubry
Fast Local Laplacian Filters: Theory and Applications. ACM Trans. Graph. 33(5): 167:1-167:14 (2014) - [c5]Mathieu Aubry, Daniel Maturana, Alexei A. Efros
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models. CVPR 2014: 3762-3769 - [c4]Mathieu Andreux
Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) 2014: 299-312 - [i1]Francisco Massa, Mathieu Aubry, Renaud Marlet:
Convolutional Neural Networks for joint object detection and pose estimation: A comparative study. CoRR abs/1412.7190 (2014) - 2011
- [c3]Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. DAGM-Symposium 2011: 122-131 - [c2]Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers
Decoupling photometry and geometry in dense variational camera calibration. ICCV 2011: 1411-1418 - [c1]Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
The wave kernel signature: A quantum mechanical approach to shape analysis. ICCV Workshops 2011: 1626-1633
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: