Sacha Morin

According to our database, Sacha Morin authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

Geometry Regularized Autoencoders.

Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Spectral Temporal Contrastive Learning.

Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf

CoRR, 2023

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.

Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull

CoRR, 2023

StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables.

Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles-Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse

CoRR, 2023

One-4-All: Neural Potential Fields for Embodied Navigation.

Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull

IROS, 2023

2022

Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers.

Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull

Proceedings of the 19th Conference on Robots and Vision, 2022

2020

Extendable and invertible manifold learning with geometry regularized autoencoders.

Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020