Carpentier, Justin

10 publications

ICLR 2026 Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning Franki NGUIMATSIA Tiofack, Théotime Le Hellard, Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier

L4DC 2024 CACTO-SL: Using Sobolev Learning to Improve Continuous Actor-Critic with Trajectory Optimization Elisa Alboni, Gianluigi Grandesso, Gastone Pietro Rosati Papini, Justin Carpentier, Andrea Del Prete

ICLR 2024 Leveraging Augmented-Lagrangian Techniques for Differentiating over Infeasible Quadratic Programs in Machine Learning Antoine Bambade, Fabian Schramm, Adrien Taylor, Justin Carpentier

CoRL 2022 MegaPose: 6d Pose Estimation of Novel Objects via Render & Compare Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic

NeurIPS 2021 Differentiable Rendering with Perturbed Optimizers Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier

NeurIPS 2021 Online Learning and Control of Complex Dynamical Systems from Sensory Input Oumayma Bounou, Jean Ponce, Justin Carpentier

CVPR 2021 Single-View Robot Pose and Joint Angle Estimation via Render & Compare Yann Labbe, Justin Carpentier, Mathieu Aubry, Josef Sivic

ECCV 2020 CosyPose: Consistent Multi-View Multi-Object 6d Pose Estimation Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic

CoRL 2020 Learning Obstacle Representations for Neural Motion Planning Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid

CVPR 2019 Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic