139 citations · 180 across the 14 of their papers we have counts for
17 papers
Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation
Salim Khazem, Jeremy Fix, Cédric Pradalier
The quality of a wood log in the wood industry depends heavily on the presence of both outer and inner defects, including inner knots that are a result of the growth of tree branch…
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval
Aishwarya Venkataramanan, Martin Laviale, Cédric Pradalier
Most of the research in content-based image retrieval (CBIR) focus on developing robust feature representations that can effectively retrieve instances from a database of images th…
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale +1
Recent works show that the data distribution in a network's latent space is useful for estimating classification uncertainty and detecting Out-of-distribution (OOD) samples. To obt…
Accurate Gaussian-Process-based Distance Fields with applications to Echolocation and Mapping
Cedric Le Gentil, Othmane-Latif Ouabi, Lan Wu +2
This paper introduces a novel method to estimate distance fields from noisy point clouds using Gaussian Process (GP) regression. Distance fields, or distance functions, gained popu…
A Hybrid Cable-Driven Robot for Non-Destructive Leafy Plant Monitoring and Mass Estimation using Structure from Motion
Gerry Chen, Harsh Muriki, Cédric Pradalier +2
We propose a novel hybrid cable-based robot with manipulator and camera for high-accuracy, medium-throughput plant monitoring in a vertical hydroponic farm and, as an example appli…
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…
Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification
Aishwarya Venkataramanan, Martin Laviale, Cécile Figus +2
Automatic classification of aquatic microorganisms is based on the morphological features extracted from individual images. The current works on their classification do not conside…
How To Train Your HERON
Antoine Richard, Stephanie Aravecchia, Thomas Schillaci +2
In this paper we apply Deep Reinforcement Learning (Deep RL) and Domain Randomization to solve a navigation task in a natural environment relying solely on a 2D laser scanner. We t…
A Study on Trees's Knots Prediction from their Bark Outer-Shape
Mejri Mohamed, Antoine Richard, Cedric Pradalier
In the industry, the value of wood-logs strongly depends on their internal structure and more specifically on the knots' distribution inside the trees. As of today, CT-scanners are…
A Survey On 3D Inner Structure Prediction from its Outer Shape
Mohamed Mejri, Antoine Richard, Cédric Pradalier
The analysis of the internal structure of trees is highly important for both forest experts, biological scientists, and the wood industry. Traditionally, CT-scanners are considered…
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard +25
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency…
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…
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association
Xiaolong Wu, Patricio Vela, Cedric Pradalier
In this work, we propose a monocular visual odometry framework, which allows exploiting the best attributes of edge feature for illumination-robust camera tracking, while at the sa…
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…