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Ricardo Garcia Pinel
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2020 – today
- 2024
- [c6]Shizhe Chen, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
SUGAR : Pre-training 3D Visual Representations for Robotics. CVPR 2024: 18049-18060 - [i6]Shizhe Chen, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
SUGAR: Pre-training 3D Visual Representations for Robotics. CoRR abs/2404.01491 (2024) - 2023
- [c5]Shizhe Chen, Ricardo Garcia Pinel, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRL 2023: 1761-1781 - [c4]Ricardo Garcia Pinel, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. IROS 2023: 992-999 - [i5]Ricardo Garcia Pinel, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. CoRR abs/2307.15320 (2023) - [i4]Shizhe Chen, Ricardo Garcia Pinel, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRR abs/2309.15596 (2023) - 2022
- [c3]Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia Pinel, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid:
Instruction-driven history-aware policies for robotic manipulations. CoRL 2022: 175-187 - [i3]Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia Pinel, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid:
Instruction-driven history-aware policies for robotic manipulations. CoRR abs/2209.04899 (2022) - 2021
- [c2]Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. ICCV 2021: 7242-7252 - [i2]Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. CoRR abs/2105.05633 (2021) - 2020
- [c1]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 - [i1]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)
2010 – 2019
- 2019
- [j1]Alberto Viseras Ruiz, Ricardo Garcia Pinel:
DeepIG: Multi-Robot Information Gathering With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 4(3): 3059-3066 (2019)
Coauthor Index
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last updated on 2024-10-07 02:24 CEST by the dblp team
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