6 citations · 8 across the 7 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…