About us

Embedded algorithms for faster, more accurate and responsible image analysis

Experts in deep neural networks

Datakalab is recognized for its research and is regularly published in major conferences.

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SPIQ: Data-Free Per-Channel Static Input Quantization

Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly

March 28, 2022

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REx: Data-Free Residual Quantization Error Expansion

Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly

March 28, 2022

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RED : Redundancies for Data-Free Structured Compression of DNN

Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly

May 31, 2021 - NeurIPS

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PLOP: Learning without Forgetting for Continual Semantic Segmentation

Arthur Douillard, Yifu Chen,
Arnaud Dapogny and Matthieu Cord

March 11, 2021 - CVPR

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DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation

Edouard Yvinec, Arnaud Dapogny and Kévin Bailly

April 15, 2020

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Tree-gated Deep Mixture-of-Experts For Pose-robustFace Alignment

Estephe Arnaud, Arnaud Dapogny and Kévin Bailly

October 21, 2019

The Team

To join us, consult our offers in the "Career" section and contact us by filling out our form!

Xavier Fischer

CEO

Lucas Fischer

CTO

Frank Tapiro

CMO

Kévin Bailly

Head of R&D

Lucas Lugao

Head of Engineering

Stephen Bauer

Head of Sales

Arnaud Dapogny

ML / CV scientist senior

Edouard Yvinec

ML / CV scientist

Eden Belouadah

ML / CV scientist

Gabriel Kasser

Software engineer

Alexandre Amaral

Project Manager

Partners

French know-how recognised by our peers

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