Marie-Julie Rakotosaona

According to our database, Marie-Julie Rakotosaona authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS.

Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari

CoRR, 2024

2023

UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections.

Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari

CoRR, 2023

NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes.

Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari

CoRR, 2023

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection.

Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SPARF: Neural Radiance Fields from Sparse and Noisy Poses.

Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt, Federico Tombari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion.

Dario Pavllo, David Joseph Tan, Marie-Julie Rakotosaona, Federico Tombari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Learning-based representations and methods for 3D shape analysis, manipulation and reconstruction. (Représentations et méthodes basées sur l'apprentissage pour l'analyse, la manipulation et la reconstruction de formes en 3D).

Marie-Julie Rakotosaona

PhD thesis, 2021

Differentiable surface triangulation.

Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero

ACM Trans. Graph., 2021

Learning Delaunay Surface Elements for Mesh Reconstruction.

Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds.

Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov

Comput. Graph. Forum, 2020

Correspondence learning via linearly-invariant embedding.

Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation.

Marie-Julie Rakotosaona, Maks Ovsjanikov

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

OperatorNet: Recovering 3D Shapes From Difference Operators.

Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels.

Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov

Proceedings of the 2019 International Conference on 3D Vision, 2019