Cédric Rommel

14 papers A* 4Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. NeurIPS Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
2024	—	`conf`	PAFUSE: Part-Based Diffusion for 3D Whole-Body Pose Estimation. ECCV Workshops (13) Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
2024	J	`jnl`	PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation. CoRR Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
2024	A*	`conf`	Winner-takes-all learners are geometry-aware conditional density estimators. ICML Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
2024	J	`jnl`	Winner-takes-all learners are geometry-aware conditional density estimators. CoRR Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
2023	—	`conf`	DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
2023	J	`jnl`	DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
2023	J	`jnl`	Evaluating the structure of cognitive tasks with transfer learning. CoRR Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel
2023	J	`jnl`	ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
2022	A*	`conf`	CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. ICLR Cédric Rommel, Thomas Moreau, Joseph Paillard, Alexandre Gramfort
2022	J	`jnl`	Data augmentation for learning predictive models on EEG: a systematic comparison. CoRR Cédric Rommel, Joseph Paillard, Thomas Moreau, Alexandre Gramfort
2022	A*	`conf`	Deep invariant networks with differentiable augmentation layers. NeurIPS Cédric Rommel, Thomas Moreau, Alexandre Gramfort
2022	J	`jnl`	Deep invariant networks with differentiable augmentation layers. CoRR Cédric Rommel, Thomas Moreau, Alexandre Gramfort
2021	J	`jnl`	CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. CoRR Cédric Rommel, Thomas Moreau, Alexandre Gramfort