Mathieu Aubry - RankMe

119 papers A* 18A 2B 3C 1Misc 1Journal 64Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis. CVPR Workshops Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2025	J	`jnl`	CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis. CoRR Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2025	—	`conf`	Detecting Looted Archaeological Sites from Satellite Image Time Series. CVPR Workshops Elliot Vincent, Mehraïl Saroufim, Jonathan Chemla, Yves Ubelmann, Philippe Marquis, Jean Ponce, Mathieu Aubry
2025	J	`jnl`	FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. IEEE Trans. Pattern Anal. Mach. Intell. Martin Cífka, Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Vladimír Petrík, Josef Sivic
2025	—	`conf`	Segmenting France Across Four Centuries. ICDAR (2) Marta López-Rauhut, Hongyu Zhou, Mathieu Aubry, Loïc Landrieu
2025	J	`jnl`	Segmenting France Across Four Centuries. CoRR Marta López-Rauhut, Hongyu Zhou, Mathieu Aubry, Loïc Landrieu
2024	—	`conf`	An Interpretable Deep Learning Approach for Morphological Script Type Analysis. ICDAR (Workshops 2) Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann, Mathieu Aubry
2024	J	`jnl`	An Interpretable Deep Learning Approach for Morphological Script Type Analysis. CoRR Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann, Mathieu Aubry
2024	J	`jnl`	Detecting Looted Archaeological Sites from Satellite Image Time Series. CoRR Elliot Vincent, Mehraïl Saroufim, Jonathan Chemla, Yves Ubelmann, Philippe Marquis, Jean Ponce, Mathieu Aubry
2024	—	`conf`	Diffusion Models as Data Mining Tools. ECCV (61) Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar
2024	J	`jnl`	Diffusion Models as Data Mining Tools. CoRR Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar
2024	A*	`conf`	General Detection-based Text Line Recognition. NeurIPS Raphaël Baena, Syrine Kalleli, Mathieu Aubry
2024	J	`jnl`	General Detection-based Text Line Recognition. CoRR Raphaël Baena, Syrine Kalleli, Mathieu Aubry
2024	—	`conf`	Historical Astronomical Diagrams Decomposition in Geometric Primitives. ICDAR (3) Syrine Kalleli, Scott Trigg, Ségolène Albouy, Matthieu Husson, Mathieu Aubry
2024	J	`jnl`	Historical Astronomical Diagrams Decomposition in Geometric Primitives. CoRR Syrine Kalleli, Scott Trigg, Ségolène Albouy, Mathieu Husson, Mathieu Aubry
2024	—	`conf`	Historical Printed Ornaments: Dataset and Tasks. ICDAR (3) Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel
2024	J	`jnl`	Historical Printed Ornaments: Dataset and Tasks. CoRR Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel
2024	A*	`conf`	Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CVPR Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2024	J	`jnl`	Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift. CoRR Elliot Vincent, Jean Ponce, Mathieu Aubry
2024	—	`conf`	The Learnable Typewriter: A Generative Approach to Text Analysis. ICDAR (2) Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry
2023	A*	`conf`	Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry
2023	J	`jnl`	Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. CoRR Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry
2023	J	`jnl`	FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. CoRR Martin Cífka, Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Vladimír Petrík, Josef Sivic
2023	J	`jnl`	Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CoRR Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2023	J	`jnl`	Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach. CoRR Elliot Vincent, Jean Ponce, Mathieu Aubry
2023	J	`jnl`	The Learnable Typewriter: A Generative Approach to Text Line Analysis. CoRR Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry
2022	—	`conf`	A Model You Can Hear: Audio Identification with Playable Prototypes. ISMIR Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2022	J	`jnl`	A Model You Can Hear: Audio Identification with Playable Prototypes. CoRR Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu
2022	A*	`conf`	Focal Length and Object Pose Estimation via Render and Compare. CVPR Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic
2022	J	`jnl`	Focal Length and Object Pose Estimation via Render and Compare. CoRR Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic
2022	A*	`conf`	Improving neural implicit surfaces geometry with patch warping. CVPR François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
2022	—	`conf`	Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
2022	J	`jnl`	Learning Joint Surface Atlases. CoRR Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry
2022	Misc	`conf`	MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
2022	J	`jnl`	MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
2022	—	`conf`	Online Segmentation of LiDAR Sequences: Dataset and Algorithm. ECCV (38) Romain Loiseau, Mathieu Aubry, Loïc Landrieu
2022	J	`jnl`	Online Segmentation of LiDAR Sequences: Dataset and Algorithm. CoRR Romain Loiseau, Mathieu Aubry, Loïc Landrieu
2022	J	`jnl`	Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. CoRR Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry
2022	—	`conf`	Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. ECCV (1) Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry
2022	J	`jnl`	Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. Int. J. Comput. Vis. Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, François Bougard, Pierre-Guillaume Raverdy, Marie-Françoise Limon-Bonnet, Christine Benevent, Marc H. Smith, Olivier Poncet, K. Bender, Béatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry
2022	J	`jnl`	Spherical perspective on learning with normalization layers. Neurocomputing Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
2022	J	`jnl`	Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
2021	J	`jnl`	Bilinear Image Translation for Temporal Analysis of Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. Théophile Dalens, Mathieu Aubry, Josef Sivic
2021	—	`conf`	Deep Learning for Historical Data Analysis. SUMAC @ ACM Multimedia Mathieu Aubry
2021	—	`conf`	Deep Multi-View Stereo Gone Wild. 3DV François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
2021	J	`jnl`	Deep Multi-View Stereo gone wild. CoRR François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
2021	—	`conf`	Image Collation: Matching Illustrations in Manuscripts. ICDAR (4) Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry
2021	J	`jnl`	Image Collation: Matching illustrations in manuscripts. CoRR Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry
2021	J	`jnl`	Improving neural implicit surfaces geometry with patch warping. CoRR François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry
2021	J	`jnl`	Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
2021	A*	`conf`	Re-ranking for image retrieval and transductive few-shot classification. NeurIPS Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry
2021	—	`conf`	Representing Shape Collections With Alignment-Aware Linear Models. 3DV Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu
2021	J	`jnl`	Representing Shape Collections with Alignment-Aware Linear Models. CoRR Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry
2021	A*	`conf`	Single-View Robot Pose and Joint Angle Estimation via Render & Compare. CVPR Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
2021	J	`jnl`	Single-view robot pose and joint angle estimation via render & compare. CoRR Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
2021	—	`conf`	Surprising Image Compositions. CVPR Workshops Othman Sbai, Camille Couprie, Mathieu Aubry
2021	C	`conf`	Surprising Image Compositions. ICCC Othman Sbai, Camille Couprie, Mathieu Aubry
2021	A*	`conf`	Unsupervised Layered Image Decomposition into Object Prototypes. ICCV Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry
2021	J	`jnl`	Unsupervised Layered Image Decomposition into Object Prototypes. CoRR Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry
2020	J	`jnl`	A Web Application for Watermark Recognition. J. Data Min. Digit. Humanit. Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi Shen, Christine Benevent, Marie-Françoise Limon-Bonnet, François Bougard, Mathieu Aubry, Marc H. Smith, Olivier Poncet, Pierre-Guillaume Raverdy
2020	—	`conf`	CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation. ECCV (17) Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
2020	J	`jnl`	CosyPose: Consistent multi-view multi-object 6D pose estimation. CoRR Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
2020	A*	`conf`	Deep Transformation-Invariant Clustering. NeurIPS Tom Monnier, Thibault Groueix, Mathieu Aubry
2020	J	`jnl`	Deep Transformation-Invariant Clustering. CoRR Tom Monnier, Thibault Groueix, Mathieu Aubry
2020	—	`conf`	Impact of Base Dataset Design on Few-Shot Image Classification. ECCV (16) Othman Sbai, Camille Couprie, Mathieu Aubry
2020	J	`jnl`	Impact of base dataset design on few-shot image classification. CoRR Othman Sbai, Camille Couprie, Mathieu Aubry
2020	B	`conf`	Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. ICPR Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry
2020	—	`conf`	Learning to Guide Local Feature Matches. 3DV François Darmon, Mathieu Aubry, Pascal Monasse
2020	J	`jnl`	Learning to Guide Local Feature Matches. CoRR François Darmon, Mathieu Aubry, Pascal Monasse
2020	J	`jnl`	Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics Autom. Lett. Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic
2020	—	`conf`	RANSAC-Flow: Generic Two-Stage Image Alignment. ECCV (4) Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry
2020	J	`jnl`	RANSAC-Flow: generic two-stage image alignment. CoRR Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry
2020	J	`jnl`	Spherical Perspective on Learning with Batch Norm. CoRR Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
2020	B	`conf`	Unsupervised Image Decomposition in Vector Layers. ICIP Othman Sbai, Camille Couprie, Mathieu Aubry
2020	B	`conf`	docExtractor: An off-the-shelf historical document element extraction. ICFHR Tom Monnier, Mathieu Aubry
2020	J	`jnl`	docExtractor: An off-the-shelf historical document element extraction. CoRR Tom Monnier, Mathieu Aubry
2019	A*	`conf`	Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. CVPR Xi Shen, Alexei A. Efros, Mathieu Aubry
2019	J	`jnl`	Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning. CoRR Xi Shen, Alexei A. Efros, Mathieu Aubry
2019	J	`jnl`	Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. CoRR Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry
2019	A*	`conf`	Learning elementary structures for 3D shape generation and matching. NeurIPS Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2019	J	`jnl`	Learning elementary structures for 3D shape generation and matching. CoRR Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2019	J	`jnl`	Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. CoRR Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic
2019	—	`book`	Neural Networks for Cross-Modal Recognition and Vector Object Generation. Mathieu Aubry
2019	A	`conf`	Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. BMVC Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet
2019	J	`jnl`	Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. CoRR Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet
2019	—	`conf`	Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang
2019	J	`jnl`	Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2019	J	`jnl`	Unsupervised cycle-consistent deformation for shape matching. CoRR Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2019	J	`jnl`	Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. CoRR Vianney Loing, Renaud Marlet, Mathieu Aubry
2018	J	`jnl`	3D Sketching using Multi-View Deep Volumetric Prediction. Proc. ACM Comput. Graph. Interact. Tech. Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A. Efros, Adrien Bousseau
2018	—	`conf`	3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2018	A*	`conf`	A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2018	J	`jnl`	AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2018	J	`jnl`	Shape correspondences from learnt template-based parametrization. CoRR Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
2018	J	`jnl`	The burgeoning computer-art symbiosis. XRDS Shiry Ginosar, Xi Shen, Karan Dwivedi, Elizabeth Honig, Mathieu Aubry
2018	J	`jnl`	Vector Image Generation by Learning Parametric Layer Decomposition. CoRR Othman Sbai, Camille Couprie, Mathieu Aubry
2018	J	`jnl`	Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration. Int. J. Comput. Vis. Vianney Loing, Renaud Marlet, Mathieu Aubry
2017	J	`jnl`	What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction. CoRR Johanna Delanoy, Adrien Bousseau, Mathieu Aubry, Phillip Isola, Alexei A. Efros
2016	—	`conf`	Automatic 3D Car Model Alignment for Mixed Image-Based Rendering. 3DV Rodrigo Ortiz Cayon, Abdelaziz Djelouah, Francisco Massa, Mathieu Aubry, George Drettakis
2016	A	`conf`	Crafting a multi-task CNN for viewpoint estimation. BMVC Francisco Massa, Renaud Marlet, Mathieu Aubry
2016	J	`jnl`	Crafting a multi-task CNN for viewpoint estimation. CoRR Francisco Massa, Renaud Marlet, Mathieu Aubry
2016	A*	`conf`	Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CVPR Francisco Massa, Bryan C. Russell, Mathieu Aubry
2016	A*	`conf`	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 Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg
2016	A*	`conf`	Learning Dense Correspondence via 3D-Guided Cycle Consistency. CVPR Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros
2016	J	`jnl`	Learning Dense Correspondence via 3D-guided Cycle Consistency. CoRR Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, Alexei A. Efros
2016	—	`ch.`	Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment. Large-Scale Visual Geo-Localization Mathieu Aubry, Bryan C. Russell, Josef Sivic
2015	J	`jnl`	Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. CoRR Francisco Massa, Bryan C. Russell, Mathieu Aubry
2015	—	`—`	Representing 3D models for alignment and recognition. (Représentations de modèles 3D pour l'alignement et la reconnaissance). Mathieu Aubry
2015	A*	`conf`	Understanding Deep Features with Computer-Generated Imagery. ICCV Mathieu Aubry, Bryan C. Russell
2015	J	`jnl`	Understanding deep features with computer-generated imagery. CoRR Mathieu Aubry, Bryan C. Russell
2014	J	`jnl`	A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. Int. J. Comput. Vis. Bastian Goldlücke, Mathieu Aubry, Kalin Kolev, Daniel Cremers
2014	—	`conf`	Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers
2014	J	`jnl`	Convolutional Neural Networks for joint object detection and pose estimation: A comparative study. CoRR Francisco Massa, Mathieu Aubry, Renaud Marlet
2014	J	`jnl`	Fast Local Laplacian Filters: Theory and Applications. ACM Trans. Graph. Mathieu Aubry, Sylvain Paris, Samuel W. Hasinoff, Jan Kautz, Frédo Durand
2014	J	`jnl`	Painting-to-3D model alignment via discriminative visual elements. ACM Trans. Graph. Mathieu Aubry, Bryan C. Russell, Josef Sivic
2014	A*	`conf`	Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models. CVPR Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, Josef Sivic
2011	A*	`conf`	Decoupling photometry and geometry in dense variational camera calibration. ICCV Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers
2011	—	`conf`	Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. DAGM-Symposium Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
2011	—	`conf`	The wave kernel signature: A quantum mechanical approach to shape analysis. ICCV Workshops Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers