| PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds MJ Rakotosaona, V La Barbera, P Guerrero, NJ Mitra, M Ovsjanikov Computer graphics forum 39 (1), 185-203, 2020 | 373 | 2020 |
| Sparf: Neural radiance fields from sparse and noisy poses P Truong, MJ Rakotosaona, F Manhardt, F Tombari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 163 | 2023 |
| Effective rotation-invariant point cnn with spherical harmonics kernels A Poulenard, MJ Rakotosaona, Y Ponty, M Ovsjanikov 2019 International Conference on 3D Vision (3DV), 47-56, 2019 | 122 | 2019 |
| Correspondence learning via linearly-invariant embedding R Marin, MJ Rakotosaona, S Melzi, M Ovsjanikov Advances in Neural Information Processing Systems 33, 1608-1620, 2020 | 76 | 2020 |
| Sparsefusion: Fusing multi-modal sparse representations for multi-sensor 3d object detection Y Xie, C Xu, MJ Rakotosaona, P Rim, F Tombari, K Keutzer, M Tomizuka, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 65 | 2023 |
| Nerfmeshing: Distilling neural radiance fields into geometrically-accurate 3d meshes MJ Rakotosaona, F Manhardt, DM Arroyo, M Niemeyer, A Kundu, ... 2024 international conference on 3D vision (3DV), 1156-1165, 2024 | 56 | 2024 |
| Learning delaunay surface elements for mesh reconstruction MJ Rakotosaona, P Guerrero, N Aigerman, NJ Mitra, M Ovsjanikov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 53 | 2021 |
| Shape, pose, and appearance from a single image via bootstrapped radiance field inversion D Pavllo, DJ Tan, MJ Rakotosaona, F Tombari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| Radsplat: Radiance field-informed gaussian splatting for robust real-time rendering with 900+ fps M Niemeyer, F Manhardt, MJ Rakotosaona, M Oechsle, D Duckworth, ... arXiv preprint arXiv:2403.13806, 2024 | 29 | 2024 |
| Differentiable surface triangulation. MJ Rakotosaona, N Aigerman, NJ Mitra, M Ovsjanikov, P Guerrero ACM Trans. Graph. 40 (6), 267:1-267:13, 2021 | 29 | 2021 |
| Intrinsic point cloud interpolation via dual latent space navigation MJ Rakotosaona, M Ovsjanikov Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 19 | 2020 |
| Unisdf: Unifying neural representations for high-fidelity 3d reconstruction of complex scenes with reflections F Wang, MJ Rakotosaona, M Niemeyer, R Szeliski, M Pollefeys, ... Advances in Neural Information Processing Systems 37, 3157-3184, 2024 | 18 | 2024 |
| Operatornet: Recovering 3d shapes from difference operators R Huang, MJ Rakotosaona, P Achlioptas, LJ Guibas, M Ovsjanikov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 18 | 2019 |
| P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising M Vogel, K Tateno, M Pollefeys, F Tombari, MJ Rakotosaona, ... European Conference on Computer Vision, 184-201, 2024 | 2 | 2024 |
| Learning-based representations and methods for 3D shape analysis, manipulation and reconstruction MJ Rakotosaona Institut Polytechnique de Paris, 2021 | | 2021 |
| Text to 3D Object Generation for Scalable Room Assembly S Laguna, A Garcia-Garcia, MJ Rakotosaona, S Moschoglou, ... Will Synthetic Data Finally Solve the Data Access Problem?, 0 | | |
| Supplementary Materials for SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection Y Xie, C Xu, MJ Rakotosaona, P Rim, F Tombari, K Keutzer, M Tomizuka, ... | | |
| Supplementary Materials: Correspondence learning via linearly-invariant embedding R Marin, MJ Rakotosaona, S Melzi, M Ovsjanikov | | |
| Learning Delaunay Surface Elements for Mesh Reconstruction Supplementary Material MJ Rakotosaona, P Guerrero, N Aigerman, N Mitra, M Ovsjanikov | | |
| 3DV 2019 Y Dai, Z Zhu, M Ferrera, A Boulch, J Moras, MM Puscas, D Xu, N Sebe, ... | | |
