6 citations · 6 across the 2 of their papers we have counts for
6 papers
Object-Guided Day-Night Visual Localization in Urban Scenes
Assia Benbihi, Cédric Pradalier, Ondřej Chum
We introduce Object-Guided Localization (OGuL) based on a novel method of local-feature matching. Direct matching of local features is sensitive to significant changes in illuminat…
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
Assia Benbihi, Stéphanie Aravecchia, Matthieu Geist +1
Most of the research effort on image-based place recognition is designed for urban environments. In bucolic environments such as natural scenes with low texture and little semantic…
Learning Sensor Placement from Demonstration for UAV networks
Assia Benbihi, Matthieu Geist, Cédric Pradalier
This work demonstrates how to leverage previous network expert demonstrations of UAV deployment to automate the drones placement in civil applications. Optimal UAV placement is an…
ELF: Embedded Localisation of Features in pre-trained CNN
Assia Benbihi, Matthieu Geist, Cédric Pradalier
This paper introduces a novel feature detector based only on information embedded inside a CNN trained on standard tasks (e.g. classification). While previous works already show th…
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry
Xiaolong Wu, Assia Benbihi, Antoine Richard +1
Recent advances in deep learning for edge detection and segmentation opens up a new path for semantic-edge-based ego-motion estimation. In this work, we propose a robust monocular…
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time
Assia Benbihi, Matthieu Geist, Cédric Pradalier
Deep learning generates state-of-the-art semantic segmentation provided that a large number of images together with pixel-wise annotations are available. To alleviate the expensive…