Sacha Morin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Manifold Learning

Top Venues

Publications

Qiao Gu, Ali 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
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA (2024)
Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles-Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables. CoRR (2023)
Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf
Spectral Temporal Contrastive Learning. CoRR (2023)
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
One-4-All: Neural Potential Fields for Embodied Navigation. CoRR (2023)
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
One-4-All: Neural Potential Fields for Embodied Navigation. IROS (2023)
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
Geometry Regularized Autoencoders. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
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
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR (2023)
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. CoRR (2022)
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. CRV (2022)
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
Extendable and invertible manifold learning with geometry regularized autoencoders. IEEE BigData (2020)
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
Extendable and invertible manifold learning with geometry regularized autoencoders. CoRR (2020)