Watershed parallel algorithm for asynchronous processors array. - Bruno Galilée; Franck Mamalet; Marc Renaudin; Pierre-Yves Coulon (ICME (1), 2002)

Embedded Convolutional Face Finder. - Sébastien Roux; Franck Mamalet; Christophe Garcia (ICME, 2006)

A Parallel Face Detection System Implemented on FPGA. - Nicolas Farrugia; Franck Mamalet; Sébastien Roux; Fan Yang 019; Michel Paindavoine (ISCAS, 2007)

Real-Time Video Convolutional Face Finder on Embedded Platforms. - Franck Mamalet; Sébastien Roux; Christophe Garcia (EURASIP J. Embed. Syst., 2007)

Parallel Asynchronous Watershed Algorithm-Architecture. - Bruno Galilée; Franck Mamalet; Marc Renaudin; Pierre-Yves Coulon (IEEE Trans. Parallel Distributed Syst., 2007)

Design of a Real-Time Face Detection Parallel Architecture Using High-Level Synthesis. - Nicolas Farrugia; Franck Mamalet; Sébastien Roux; Fan Yang 019; Michel Paindavoine (EURASIP J. Embed. Syst., 2008)

Fast and Robust Face Detection on a Parallel Optimized Architecture Implemented on FPGA. - Nicolas Farrugia; Franck Mamalet; Sébastien Roux; Fan Yang 019; Michel Paindavoine (IEEE Trans. Circuits Syst. Video Technol., 2009)

Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks. - Moez Baccouche; Franck Mamalet; Christian Wolf 001; Christophe Garcia; Atilla Baskurt (ICANN (2), 2010)

Embedded facial image processing with Convolutional Neural Networks. - Franck Mamalet; Sébastien Roux; Christophe Garcia (ISCAS, 2010)

Sequential Deep Learning for Human Action Recognition. - Moez Baccouche; Franck Mamalet; Christian Wolf 001; Christophe Garcia; Atilla Baskurt (HBU, 2011)

Spatio-Temporal Convolutional Sparse Auto-Encoder for Sequence Classification. - Moez Baccouche; Franck Mamalet; Christian Wolf 001; Christophe Garcia; Atilla Baskurt (BMVC, 2012)

Combining Multi-scale Character Recognition and Linguistic Knowledge for Natural Scene Text OCR. - Khaoula Elagouni; Christophe Garcia; Franck Mamalet; Pascale Sébillot (Document Analysis Systems, 2012)

Text Recognition in Videos Using a Recurrent Connectionist Approach. - Khaoula Elagouni; Christophe Garcia; Franck Mamalet; Pascale Sébillot (ICANN (2), 2012)

Simplifying ConvNets for Fast Learning. - Franck Mamalet; Christophe Garcia (ICANN (2), 2012)

Sparse shift-invariant representation of local 2D patterns and sequence learning for human action recognition. - Moez Baccouche; Franck Mamalet; Christian Wolf 001; Christophe Garcia; Atilla Baskurt (ICPR, 2012)

BLSTM-RNN Based 3D Gesture Classification. - Grégoire Lefebvre; Samuel Berlemont; Franck Mamalet; Christophe Garcia (ICANN, 2013)

Text recognition in multimedia documents: a study of two neural-based OCRs using and avoiding character segmentation. - Khaoula Elagouni; Christophe Garcia; Franck Mamalet; Pascale Sébillot (Int. J. Document Anal. Recognit., 2014)

ICDAR2015 competition on Text Image Super-Resolution. - Clément Peyrard; Moez Baccouche; Franck Mamalet; Christophe Garcia (ICDAR, 2015)

A Comparison between Multi-Layer Perceptrons and Convolutional Neural Networks for Text Image Super-Resolution. - Clément Peyrard; Franck Mamalet; Christophe Garcia (VISAPP (1), 2015)

Unsupervised Feature Learning With Winner-Takes-All Based STDP. - Paul Ferré; Franck Mamalet; Simon J. Thorpe (Frontiers Comput. Neurosci., 2018)

Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. - Mathieu Serrurier; Franck Mamalet; Alberto González-Sanz; Thibaut Boissin; Jean-Michel Loubes; Eustasio del Barrio (CVPR, 2021)

White Paper Machine Learning in Certified Systems. - Hervé Delseny; Christophe Gabreau; Adrien Gauffriau; Bernard Beaudouin; Ludovic Ponsolle; Lucian Alecu; Hugues Bonnin; Brice Beltran; Didier Duchel; Jean-Brice Ginestet; Alexandre Hervieu; Ghilaine Martinez; et al. (CoRR, 2021)

The Many Faces of 1-Lipschitz Neural Networks. - Louis Béthune; Alberto González-Sanz; Franck Mamalet; Mathieu Serrurier (CoRR, 2021)

Pay attention to your loss : understanding misconceptions about Lipschitz neural networks. - Louis Béthune; Thibaut Boissin; Mathieu Serrurier; Franck Mamalet; Corentin Friedrich; Alberto González-Sanz (NeurIPS, 2022)

Object Detection with Probabilistic Guarantees: A Conformal Prediction Approach. - Florence de Grancey; Jean-Luc Adam; Lucian Alecu; Sébastien Gerchinovitz; Franck Mamalet; David Vigouroux (SAFECOMP Workshops, 2022)

When adversarial attacks become interpretable counterfactual explanations. - Mathieu Serrurier; Franck Mamalet; Thomas Fel; Louis Béthune; Thibaut Boissin (CoRR, 2022)

Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. - El Mehdi Achour; François Malgouyres; Franck Mamalet (J. Mach. Learn. Res., 2022)

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective. - Mathieu Serrurier; Franck Mamalet; Thomas Fel; Louis Béthune; Thibaut Boissin (NeurIPS, 2023)

DP-SGD Without Clipping: The Lipschitz Neural Network Way. - Louis Béthune; Thomas Massena; Thibaut Boissin; Aurélien Bellet; Franck Mamalet; Yannick Prudent; Corentin Friedrich; Mathieu Serrurier; David Vigouroux (ICLR, 2024)

Quantized Approximately Orthogonal Recurrent Neural Networks. - Armand Foucault; Franck Mamalet; François Malgouyres (CoRR, 2024)

How to design a dataset compliant with an ML-based system ODD? - Cyril Cappi; Noémie Cohen; Mélanie Ducoffe; Christophe Gabreau; Laurent Gardes; Adrien Gauffriau; Jean-Brice Ginestet; Franck Mamalet; Vincent Mussot; Claire Pagetti; David Vigouroux (CoRR, 2024)

Hadamrnn: Binary and Sparse Ternary orthogonal RNNs. - Armand Foucault; François Malgouyres; Franck Mamalet (ICLR, 2025)

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures. - Thibaut Boissin; Franck Mamalet; Thomas Fel; Agustin Martin Picard; Thomas Massena; Mathieu Serrurier (CoRR, 2025)

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. - Thomas Massena; Léo Andéol; Thibaut Boissin; Franck Mamalet; Corentin Friedrich; Mathieu Serrurier; Sébastien Gerchinovitz (CoRR, 2025)