Cédric Rommel

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Invariant Recognition

Human Pose Estimation

Top Venues

ICCV (Workshops)

Publications

Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
Winner-takes-all learners are geometry-aware conditional density estimators. CoRR (2024)
Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation. CoRR (2024)
Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel
Evaluating the structure of cognitive tasks with transfer learning. CoRR (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) (2023)
Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR (2023)
Cédric Rommel, Thomas Moreau, Alexandre Gramfort
Deep invariant networks with differentiable augmentation layers. NeurIPS (2022)
Cédric Rommel, Thomas Moreau, Joseph Paillard, Alexandre Gramfort
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. ICLR (2022)
Cédric Rommel, Thomas Moreau, Alexandre Gramfort
Deep invariant networks with differentiable augmentation layers. CoRR (2022)
Cédric Rommel, Joseph Paillard, Thomas Moreau, Alexandre Gramfort
Data augmentation for learning predictive models on EEG: a systematic comparison. CoRR (2022)
Cédric Rommel, Thomas Moreau, Alexandre Gramfort
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. CoRR (2021)