Bio

I am interested in localisation and mapping and how to develop solutions that work in the real world. Some of the challenges I work on include large-scale mapping, long-term localisation, localisation in natural environments, localisation across extreme change of variations, and privacy-preserving localisation. Feel free to reach out if you want to chat about these topics.

Previously, I interned at Niantic, worked at the Visual Recognition Group, and received my PhD from CentraleSupelec at the DREAM Lab, under the supervision of Cédric Pradalier and Matthieu Geist, tackling long-term localisation problems across seasons in challenging outdoor environments.

Publications

• • Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
  • Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier
  • ICCVW 2023
• • Object-Guided Day-Night Visual Localization in Urban Scenes
  • Assia Benbihi, Cédric Pradalier, Ondrej Chum
  • ICPR 2022
• • Robust Visual Features for Long-Term Monitoring (PhD Thesis)
  • Assia Benbihi
  • 2020
• • WASABI: Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
  • Assia Benbihi, Stephanie Arravechia, Matthieu Geist, Cédric Pradalier
  • International Conference on Robotics and Automation 2020
  • Code, Video
• • ELF: Embedded Localisation of Features in pre-trained CNN
  • Assia Benbihi, Matthieu Geist, Cédric Pradalier
  • International Conference on Computer Vision 2019
  • Code, Video
• • Semantic Nearest Neighbor Fields for Monocular Edge Visual-Odometry
  • Xiaolong Wu, Assia Benbihi, Matthieu Geist, Cédric Pradalier
  • Preprint 2019
• • Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time
  • Assia Benbihi, Matthieu Geist, Cédric Pradalier
  • International Conference on Image Neural Processing 2019
• • Learning Sensor Placement from Demonstration for UAV networks
  • Assia Benbihi, Matthieu Geist, Cédric Pradalier
  • IEEE Symposium on Computers and Communications 2019
• • Automated segmentation and classification of land use from overhead imagery
  • Antoine Richard, Assia Benbihi, Matthieu Geist, Cédric Pradalier, Vincent Perez, P Durand, R Van Couwenberghe
  • International Conference on Precision Agriculture, 2018

Software

• • WASABI (publication code)
• • ELF (Publication code)
• • Docker / Singularity makers Various Docker and Singularity definition file for 3D mapping and localization.