Embedded algorithms for faster, more accurate and responsible image analysis
Datakalab is recognized for its research and is regularly published in major conferences.
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly
SPIQ: Data-Free Per-Channel Static Input Quantization
Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly
March 28, 2022
REx: Data-Free Residual Quantization Error Expansion
Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly
March 28, 2022
RED : Redundancies for Data-Free Structured Compression of DNN
Edouard Yvenic, Arnaud Dapogny, Matthieu Cord and Kévin Bailly
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard, Yifu Chen,
Arnaud Dapogny and Matthieu Cord
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation
Edouard Yvinec, Arnaud Dapogny and Kévin Bailly
April 15, 2020
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild
Arnaud Dapogny, Kévin Bailly and Matthieu Cord
Tree-gated Deep Mixture-of-Experts For Pose-robustFace Alignment
Estephe Arnaud, Arnaud Dapogny and Kévin Bailly
October 21, 2019
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Xavier Fischer
CEO
Lucas Fischer
CTO
Frank Tapiro
CMO
Kévin Bailly
Head of R&D
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
Tao Li
Hardware engineer