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Maxime Devanne

2 papers indexed

arxivcs.CVcs.LG2026-07-15

The 2nd International StepUP Competition for Biometric Footstep Recognition: From Steps to Strides

Robyn Larracy, Anant Gupta, Gourav Gupta, Ethan Eddy, Maxime Devanne, Cyril Meyer, et al.

The International StepUP Competition Series was launched to advance research in pressure-based footstep biometrics through a standardized and challenging evaluation framework. Using the large-scale StepUP-P150 dataset (with more than 200,000 high-resolution dynamic footsteps from…

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arxivcs.LGcs.AI2026-07-07

Enhancing deep learning models for time series classification via knowledge distillation

Javidan Abdullayev, Maxime Devanne, Jonathan Weber, Germain Forestier

Deep learning has achieved remarkable success in various domains including time series analysis, computer vision and natural language processing. However, high computational and memory demands of state-of-the-art architectures pose challenges for deployment in resource-limited en…

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