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Ivan Laptev
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Publications
- 2024
- [j21]Quentin Le Lidec, Wilson Jallet, Louis Montaut, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Contact Models in Robotics: A Comparative Analysis. IEEE Trans. Robotics 40: 3716-3733 (2024) - 2023
- [c102]Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. ICRA 2023: 946-952 - [i81]Quentin Le Lidec, Wilson Jallet, Louis Montaut, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Contact Models in Robotics: a Comparative Analysis. CoRR abs/2304.06372 (2023) - 2022
- [j19]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. Int. J. Comput. Vis. 130(2): 363-383 (2022) - [i72]Quentin Le Lidec, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier:
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems. CoRR abs/2203.03986 (2022) - [i66]Quentin Le Lidec, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier:
Augmenting differentiable physics with randomized smoothing. CoRR abs/2206.11884 (2022) - [i62]Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. CoRR abs/2209.09006 (2022) - 2021
- [j16]Quentin Le Lidec, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable Simulation for Physical System Identification. IEEE Robotics Autom. Lett. 6(2): 3413-3420 (2021) - [c82]Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable rendering with perturbed optimizers. NeurIPS 2021: 20398-20409 - [i49]Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable Rendering with Perturbed Optimizers. CoRR abs/2110.09107 (2021) - [i47]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. CoRR abs/2111.01591 (2021) - 2020
- [j15]Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics Autom. Lett. 5(2): 3715-3722 (2020) - [c80]Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRL 2020: 355-364 - [i39]Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRR abs/2008.11174 (2020) - 2019
- [c69]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. CVPR 2019: 8640-8649 - [i34]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video. CoRR abs/1904.02683 (2019) - [i31]Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. CoRR abs/1904.10348 (2019)
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