5 papers
Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication
Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1
Reconstruction-based generative models offer a natural framework for unsupervised out-of-distribution (OOD) detection, but multi-class normality modelling requires a single detecto…
Curriculum-guided Change Detection Training: Toward Accurate Serac Fall Monitoring
Arthur Dérédel, Carlos Crispim-Junior, Pierre Lemaire +2
Change Detection (CD) aims to identify semantic or structural changes from nearly registered multi-temporal images. While recent advances in training methodologies have largely foc…
Revisiting Change Detection Methods for their Application to Serac Fall Time-Lapse Monitoring
Arthur Dérédel, Carlos Crispim-Junior, Pierre Lemaire +2
In an era where climate change aggravates environmental uncertainties, the identification and detection of event precursors are becoming crucial to mitigate the impacts of disastro…
Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning
Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1
Counterfeiting affects diverse industries, including pharmaceuticals, electronics, and food, posing serious health and economic risks. Printable unclonable codes, such as Copy Dete…
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars
Carlos Crispim-Junior, Romain Guesdon, Christophe Jallais +3
The adoption of self-driving cars will certainly revolutionize our lives, even though they may take more time to become fully autonomous than initially predicted. The first vehicle…