Martin Laviale

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 6

Top Topics

Mahalanobis Distance

Class Separability

Covariance Matrices

Synthetic Datasets

Top Venues

Eng. Appl. Artif. Intell.

ICCV (Workshops)

Publications

Aishwarya Venkataramanan, Martin Laviale, Cédric Pradalier
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval. CoRR (2023)
Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers. ICCV (Workshops) (2023)
Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier, Martin Laviale
Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier
Self-Supervised Gaussian Regularization of Deep Classifiers for Mahalanobis-Distance-Based Uncertainty Estimation. CoRR (2023)
Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier
Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification. CoRR (2021)
Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier
Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification. ICVS (2021)
Vona Meleder, Martin Laviale, Bruno Jesus, Jean-Luc Mouget, Farzaneh Kazemipour, Patrick Launeau, Laurent Barillé
Changes in micro-algal pigment content and optical absorption cross section with growth irradiance, detected by hyperspectral radiometric analyses. WHISPERS (2011)