Robin Strudel

According to our database, Robin Strudel authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning representations for visually-guided robotics. (Apprentissage de représentations visuelles pour la robotique).

Robin Strudel

PhD thesis, 2023

Robust Visual Sim-to-Real Transfer for Robotic Manipulation.

Ricardo Garcia Pinel, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid

IROS, 2023

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC.

Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl

Proceedings of the International Conference on Machine Learning, 2023

2022

Continuous diffusion for categorical data.

Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler

CoRR, 2022

Self-conditioned Embedding Diffusion for Text Generation.

Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond

CoRR, 2022

Weakly-supervised segmentation of referring expressions.

Robin Strudel, Ivan Laptev, Cordelia Schmid

CoRR, 2022

Assembly Planning from Observations under Physical Constraints.

Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Segmenter: Transformer for Semantic Segmentation.

Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning to combine primitive skills: A step towards versatile robotic manipulation §.

Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Obstacle Representations for Neural Motion Planning.

Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Combining learned skills and reinforcement learning for robotic manipulations.

Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid

CoRR, 2019

Learning to Augment Synthetic Images for Sim2Real Policy Transfer.

Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019