Julie Digne - RankMe

58 papers A* 3B 2C 1Journal 43Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. Mattéo Clémot, Julie Digne, Julien Tierny
2025	J	`jnl`	Delaunay-Rips filtration: a study and an algorithm. CoRR Mattéo Clémot, Julie Digne, Julien Tierny
2025	J	`jnl`	RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scans. CoRR Emmanouil Nikolakakis, Amine Ouasfi, Julie Digne, Razvan Marinescu
2025	—	`conf`	SCONet: Convolutional Occupancy Networks for Multi-Organ Segmentation. ISBI Maylis Jouvencel, Razmig Kéchichian, Julie Digne, Sébastien Valette
2025	J	`jnl`	Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction. CoRR Mattéo Clémot, Julie Digne, Julien Tierny
2025	J	`jnl`	Volume Preserving Neural Shape Morphing. Comput. Graph. Forum Camille Buonomo, Julie Digne, Raphaëlle Chaine
2024	J	`jnl`	Differentiable Owen Scrambling. ACM Trans. Graph. Bastien Doignies, David Coeurjolly, Nicolas Bonneel, Julie Digne, Jean-Claude Iehl, Victor Ostromoukhov
2024	J	`jnl`	Space and Time Continuous Physics Simulation From Partial Observations. CoRR Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf
2024	A*	`conf`	Space and time continuous physics simulation from partial observations. ICLR Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf
2023	J	`jnl`	A survey of Optimal Transport for Computer Graphics and Computer Vision. Comput. Graph. Forum Nicolas Bonneel, Julie Digne
2023	A*	`conf`	EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. ICLR Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf
2023	J	`jnl`	Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. CoRR Steeven Janny, Aurélien Béneteau, Nicolas Thome, Madiha Nadri, Julie Digne, Christian Wolf
2023	A*	`conf`	Example-Based Sampling with Diffusion Models. SIGGRAPH Asia Bastien Doignies, Nicolas Bonneel, David Coeurjolly, Julie Digne, Loïs Paulin, Jean-Claude Iehl, Victor Ostromoukhov
2023	J	`jnl`	Example-Based Sampling with Diffusion Models. CoRR Bastien Doignies, Nicolas Bonneel, David Coeurjolly, Julie Digne, Loïs Paulin, Jean-Claude Iehl, Victor Ostromoukhov
2023	J	`jnl`	Learning to Generate Wasserstein Barycenters. J. Math. Imaging Vis. Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
2023	J	`jnl`	Lightweight integration of 3D features to improve 2D image segmentation. Comput. Graph. Olivier Pradelle, Raphaëlle Chaine, David Wendland, Julie Digne
2023	J	`jnl`	Neural skeleton: Implicit neural representation away from the surface. Comput. Graph. Mattéo Clémot, Julie Digne
2022	J	`jnl`	Dynamic scene novel view synthesis via deferred spatio-temporal consistency. Comput. Graph. Beatrix-Emoke Fülöp-Balogh, Eleanor Tursman, James Tompkin, Julie Digne, Nicolas Bonneel
2022	J	`jnl`	Gradient Terrain Authoring. Comput. Graph. Forum Eric Guérin, Adrien Peytavie, Simon Masnou, Julie Digne, Basile Sauvage, James Gain, Eric Galin
2022	J	`jnl`	Lightweight integration of 3D features to improve 2D image segmentation. CoRR Olivier Pradelle, Raphaëlle Chaine, David Wendland, Julie Digne
2022	J	`jnl`	Symmetrized semi-discrete optimal transport. CoRR Agathe Herrou, Bruno Lévy, Vincent Nivoliers, Nicolas Bonneel, Julie Digne
2021	J	`jnl`	Arbitrary order principal directions and how to compute them. CoRR Julie Digne, Sébastien Valette, Raphaëlle Chaine, Yohann Béarzi
2021	J	`jnl`	Baseline Skinning for Point Sets of Articulated Bodies. CoRR Tong Fu, Raphaëlle Chaine, Julie Digne
2021	J	`jnl`	Dynamic Scene Novel View Synthesis via Deferred Spatio-temporal Consistency. CoRR Beatrix-Emoke Fülöp-Balogh, Eleanor Tursman, James Tompkin, Julie Digne, Nicolas Bonneel
2021	J	`jnl`	Learning to Generate Wasserstein Barycenters. CoRR Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
2020	—	`conf`	Anatomy Changes and Virtual Restoration of Statues. GCH Tong Fu, Raphaëlle Chaine, Julie Digne
2020	J	`jnl`	Code Replicability in Computer Graphics. CoRR Nicolas Bonneel, David Coeurjolly, Julie Digne, Nicolas Mellado
2020	J	`jnl`	Code replicability in computer graphics. ACM Trans. Graph. Nicolas Bonneel, David Coeurjolly, Julie Digne, Nicolas Mellado
2020	J	`jnl`	FAKIR: An algorithm for revealing the anatomy and pose of statues from raw point sets. Comput. Graph. Forum Tong Fu, Raphaëlle Chaine, Julie Digne
2020	B	`conf`	PCQM: A Full-Reference Quality Metric for Colored 3D Point Clouds. QoMEX Gabriel Meynet, Yana Nehmé, Julie Digne, Guillaume Lavoué
2020	J	`jnl`	mpLBP: A point-based representation for surface pattern description. Comput. Graph. Elia Moscoso Thompson, Silvia Biasotti, Julie Digne, Raphaëlle Chaine
2019	J	`jnl`	FAKIR : An algorithm for estimating the pose and elementary anatomy of archaeological statues. CoRR Tong Fu, Raphaëlle Chaine, Julie Digne
2019	B	`conf`	PC-MSDM: A quality metric for 3D point clouds. QoMEX Gabriel Meynet, Julie Digne, Guillaume Lavoué
2019	—	`conf`	mpLBP: An Extension of the Local Binary Pattern to Surfaces based on an Efficient Coding of the Point Neighbours. 3DOR@Eurographics Elia Moscoso Thompson, Silvia Biasotti, Julie Digne, Raphaëlle Chaine
2018	—	`book`	Contributions to local and non-local surface analysis. (Contributions à l'analyse locale et non-locale de surfaces). Julie Digne
2018	C	`conf`	Correcting motion distortions in time-of-flight imaging. MIG Beatrix-Emoke Fülöp-Balogh, Nicolas Bonneel, Julie Digne
2018	J	`jnl`	Sparse Geometric Representation Through Local Shape Probing. IEEE Trans. Vis. Comput. Graph. Julie Digne, Sébastien Valette, Raphaëlle Chaine
2018	J	`jnl`	Super-Resolution of Point Set Surfaces Using Local Similarities. Comput. Graph. Forum Azzouz Hamdi-Cherif, Julie Digne, Raphaëlle Chaine
2018	J	`jnl`	Wavejets: A Local Frequency Framework for Shape Details Amplification. Comput. Graph. Forum Yohann Béarzi, Julie Digne, Raphaëlle Chaine
2017	J	`jnl`	Coherent multi-layer landscape synthesis. Vis. Comput. Oscar Argudo, Carlos Andújar, Antonio Chica, Eric Guérin, Julie Digne, Adrien Peytavie, Eric Galin
2017	J	`jnl`	Fine scale image registration in large-scale urban LIDAR point sets. Comput. Vis. Image Underst. Maximilien Guislain, Julie Digne, Raphaëlle Chaine, Gilles Monnier
2017	J	`jnl`	Interactive example-based terrain authoring with conditional generative adversarial networks. ACM Trans. Graph. Éric Guérin, Julie Digne, Eric Galin, Adrien Peytavie, Christian Wolf, Bedrich Benes, Benoît Martinez
2017	J	`jnl`	The Bilateral Filter for Point Clouds. Image Process. Line Julie Digne, Carlo de Franchis
2016	—	`conf`	Detecting and Correcting Shadows in Urban Point Clouds and Image Collections. 3DV Maximilien Guislain, Julie Digne, Raphaëlle Chaine, D. Kudelski, P. Lefebvre-Albaret
2016	J	`jnl`	Sparse Geometric Representation Through Local Shape Probing. CoRR Julie Digne, Sébastien Valette, Raphaëlle Chaine
2016	J	`jnl`	Sparse representation of terrains for procedural modeling. Comput. Graph. Forum Eric Guérin, Julie Digne, Eric Galin, Adrien Peytavie
2015	J	`jnl`	An Implementation and Parallelization of the Scale Space Meshing Algorithm. Image Process. Line Julie Digne
2015	—	`ch.`	Neighborhood Filters and the Recovery of 3D Information. Handbook of Mathematical Methods in Imaging Julie Digne, Mariella Dimiccoli, Neus Sabater, Philippe Salembier
2014	J	`jnl`	An Analysis and Implementation of a Parallel Ball Pivoting Algorithm. Image Process. Line Julie Digne
2014	J	`jnl`	Feature-Preserving Surface Reconstruction and Simplification from Defect-Laden Point Sets. J. Math. Imaging Vis. Julie Digne, David Cohen-Steiner, Pierre Alliez, Fernando de Goes, Mathieu Desbrun
2014	J	`jnl`	Numerical analysis of differential operators on raw point clouds. Numerische Mathematik Julie Digne, Jean-Michel Morel
2014	J	`jnl`	Self-similarity for accurate compression of point sampled surfaces. Comput. Graph. Forum Julie Digne, Raphaëlle Chaine, Sébastien Valette
2012	—	`conf`	Similarity based filtering of point clouds. CVPR Workshops Julie Digne
2011	J	`jnl`	Farman Institute 3D Point Sets - High Precision 3D Data Sets. Image Process. Line Julie Digne, Nicolas Audfray, Claire Lartigue, Charyar-Mehdi Souzani, Jean-Michel Morel
2011	J	`jnl`	Scale Space Meshing of Raw Data Point Sets. Comput. Graph. Forum Julie Digne, Jean-Michel Morel, Charyar-Mehdi Souzani, Claire Lartigue
2010	J	`jnl`	High Fidelity Scan Merging. Comput. Graph. Forum Julie Digne, Jean-Michel Morel, Nicolas Audfray, Claire Lartigue
2010	—	`—`	Inverse geometry : from the raw point cloud to the 3D Surface : theory and algorithms. (Géométrie inverse : du nuage de points brut à la surface 3D : théorie et algorithmes). Julie Digne
2010	—	`conf`	Mesh Segmentation and Model Extraction. Curves and Surfaces Julie Digne, Jean-Michel Morel, Charyar-Mehdi Souzani, Claire Lartigue