Nathan Piasco

According to our database, Nathan Piasco authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration.

Quentin Herau, Moussâb Bennehar, Arthur Moreau, Nathan Piasco, Luis Roldao, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

CoRR, 2024

SCILLA: SurfaCe Implicit Learning for Large Urban Area, a volumetric hybrid solution.

Hala Djeghim, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Désiré Sidibé

CoRR, 2024

RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes.

Thang-Anh-Quan Nguyen, Luis Roldão, Nathan Piasco, Moussâb Bennehar, Dzmitry Tsishkou

Proceedings of the Computer Vision - ECCV 2024, 2024

SWAG: Splatting in the Wild Images with Appearance-Conditioned Gaussians.

Hiba Dahmani, Moussâb Bennehar, Nathan Piasco, Luis Roldão, Dzmitry Tsishkou

Proceedings of the Computer Vision - ECCV 2024, 2024

SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields.

Quentin Herau, Nathan Piasco, Moussâb Bennehar, Luis Roldao, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Urban Scene Reconstruction.

Fusang Wang, Arnaud Louys, Nathan Piasco, Moussâb Bennehar, Luis Roldao, Dzmitry Tsishkou

Proceedings of the International Conference on 3D Vision, 2024

2023

PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Scene Reconstruction.

Fusang Wang, Arnaud Louys, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou

CoRR, 2023

MOISST: Multi-modal Optimization of Implicit Scene for SpatioTemporal calibration.

Quentin Herau, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

CoRR, 2023

ImPosing: Implicit Pose Encoding for Efficient Visual Localization.

Arthur Moreau, Thomas Gilles, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle

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

MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal Calibration.

Quentin Herau, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

IROS, 2023

CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation.

Arthur Moreau, Nathan Piasco, Moussâb Bennehar, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle

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

2022

ImPosIng: Implicit Pose Encoding for Efficient Camera Pose Estimation.

Arthur Moreau, Thomas Gilles, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle

CoRR, 2022

CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization.

Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Improving Image Description with Auxiliary Modality for Visual Localization in Challenging Conditions.

Nathan Piasco, Désiré Sidibé, Valérie Gouet-Brunet, Cédric Demonceaux

Int. J. Comput. Vis., 2021

LENS: Localization enhanced by NeRF synthesis.

Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Learning Scene Geometry for Visual Localization in Challenging Conditions.

Nathan Piasco, Désiré Sidibé, Valérie Gouet-Brunet, Cédric Demonceaux

Proceedings of the International Conference on Robotics and Automation, 2019

Geometric Camera Pose Refinement with Learned Depth Maps.

Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Perspective-n-Learned-Point: Pose Estimation from Relative Depth.

Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

A survey on Visual-Based Localization: On the benefit of heterogeneous data.

Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet

Pattern Recognit., 2018

2016

Collaborative localization and formation flying using distributed stereo-vision.

Nathan Piasco, Julien Marzat, Martial Sanfourche

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016