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2020 – today
- 2024
[j3]Monika Wysoczanska
, Tom Monnier, Tomasz Trzcinski, David Picard:
Toward Unsupervised Visual Reasoning: Do Off-the-Shelf Features Know How to Reason? IEEE Access 12: 76367-76378 (2024)- [c8]Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry:
The Learnable Typewriter: A Generative Approach to Text Analysis. ICDAR (2) 2024: 297-314 - [i11]Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotný:
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials. CoRR abs/2407.02445 (2024) - [i10]Raphael Bensadoun, Tom Monnier, Yanir Kleiman, Filippos Kokkinos, Yawar Siddiqui, Mahendra Kariya, Omri Harosh, Roman Shapovalov, Benjamin Graham, Emilien Garreau, Animesh Karnewar, Ang Cao, Idan Azuri, Iurii Makarov, Eric-Tuan Le, Antoine Toisoul, David Novotný, Oran Gafni, Natalia Neverova, Andrea Vedaldi:
Meta 3D Gen. CoRR abs/2407.02599 (2024) - 2023
- [b1]Tom Monnier:
Unsupervised Image Analysis by Synthesis. (Analyse d'image non supervisée par synthèse). École des ponts ParisTech, Champs-sur-Marne, France, 2023 - [c7]Antoine Guédon, Tom Monnier, Pascal Monasse, Vincent Lepetit:
MACARONS: Mapping and Coverage Anticipation with RGB Online Self-Supervision. CVPR 2023: 940-951 - [c6]Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS 2023 - [i9]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) - [i8]Antoine Guédon, Tom Monnier, Pascal Monasse, Vincent Lepetit:
MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision. CoRR abs/2303.03315 (2023) - [i7]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) - 2022
- [j2]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:
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. Int. J. Comput. Vis. 130(5): 1325-1339 (2022) - [c5]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 - [i6]Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry:
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. CoRR abs/2204.10310 (2022) - [i5]Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard:
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? CoRR abs/2212.10292 (2022) - 2021
- [c4]Romain Loiseau, Tom Monnier, Mathieu Aubry, Loïc Landrieu:
Representing Shape Collections With Alignment-Aware Linear Models. 3DV 2021: 1044-1053 - [c3]Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry:
Unsupervised Layered Image Decomposition into Object Prototypes. ICCV 2021: 8620-8630 - [i4]Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry:
Unsupervised Layered Image Decomposition into Object Prototypes. CoRR abs/2104.14575 (2021) - [i3]Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry:
Representing Shape Collections with Alignment-Aware Linear Models. CoRR abs/2109.01605 (2021) - 2020
- [j1]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:
A Web Application for Watermark Recognition. J. Data Min. Digit. Humanit. 2020 (2020) - [c2]Tom Monnier, Mathieu Aubry:
docExtractor: An off-the-shelf historical document element extraction. ICFHR 2020: 91-96 - [c1]Tom Monnier, Thibault Groueix, Mathieu Aubry:
Deep Transformation-Invariant Clustering. NeurIPS 2020 - [i2]Tom Monnier, Thibault Groueix, Mathieu Aubry:
Deep Transformation-Invariant Clustering. CoRR abs/2006.11132 (2020) - [i1]Tom Monnier, Mathieu Aubry:
docExtractor: An off-the-shelf historical document element extraction. CoRR abs/2012.08191 (2020)
Coauthor Index
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