From the 3 of 83 papers with an AI index.
21 citations
- G. Drettakis4 · h 59
- Konstantin Avrachenkov4 profiles4 · h 41
- Himanshu Gupta3 profiles3 · h 10
- Ivan Lanese2 profiles3 · h 34
- Micah Carroll2 profiles3 · h 15
- Michael Kirchhof2 profiles3 · h 10
- Michal Valko3 · h 44
- Orion Weller2 profiles3 · h 22
- Zheng-Xin Yong3 profiles3 · h 18
- Abdallah Galal2 profiles2 · h 1
- A. Bienfait2 · h 24
- A. Boukhayma2 · h 13
- Centre National de la Recherche ScientifiqueFR27 papers
- École Normale Supérieure - PSLFR9 papers
- École Normale Supérieure de LyonFR7 papers
- Sorbonne UniversitéFR7 papers
- Département d'InformatiqueFR6 papers
- Université Côte d'AzurFR6 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR5 papers
- Université de MontpellierFR5 papers
- Laboratoire de l'Informatique du ParallélismeFR4 papers
- Université de RennesFR4 papers
- Université Paris CitéFR4 papers
- University of BolognaIT4 papers
10 papers · 1 filter
Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency
Andreas Meuleman, Linus Franke, Boris Zhestiankin +2
The paper presents a method for instantly reconstructing 3D scenes from unordered image collections using 3D Gaussian splatting, achieving global consistency through fast matching,…
MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones
Clément Dauvilliers, Claire Monteleoni
Microwave satellite imagery plays a crucial role in monitoring tropical cyclone precipitation and intensity worldwide, but suffers from long revisit times, potentially missing rapi…
Physics-Guided Self-Supervised Statistical Residual Learning for Sonar Despeckling with Improved Generalization
Swapna Pillai, Siddharth Singh Savner, Sujit Kumar Sahoo
This letter introduces a physics-informed self-supervised framework for sonar image despeckling that reformulates despeckling as residual consistency in the homomorphic log domain.…
A drone-based framework for coral habitat mapping via weakly supervised segmentation
Matteo Contini, Victor Illien, Sylvain Poulain +4
Obtaining pixel-level annotations over large spatial extents remains a major bottleneck for deploying machine learning in ecological applications. Here we present a multi-scale wea…
D-Garment: Physically Grounded Latent Diffusion for Dynamic Garment Deformations
Antoine Dumoulin, Adnane Boukhayma, Laurence Boissieux +3
We present a method to dynamically deform 3D garments, in the form of a 3D polygon mesh, based on body shape, motion, and physical cloth material properties. Considering physical c…
Learning to Infer Parameterized Representations of Plants from 3D Scans
Samara Ghrer, Christophe Godin, Stefanie Wuhrer
Plants frequently contain numerous organs, organized in 3D branching systems defining the plant's architecture. Reconstructing the architecture of plants from unstructured observat…