Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Research output: Contribution to journalConference articlepeer-review

Bibtex - Download

@article{ab10751ce65247cd995d7ba398e5dfc4,
title = "Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training",
author = "Vedant Dave and Fotios Lygerakis and Elmar R{\"u}ckert",
year = "2024",
month = jan,
day = "28",
language = "English",
journal = " Proceedings / IEEE International Conference on Robotics and Automation",
issn = "1050-4729",
publisher = "Institute of Electrical and Electronics Engineers",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

AU - Dave, Vedant

AU - Lygerakis, Fotios

AU - Rückert, Elmar

PY - 2024/1/28

Y1 - 2024/1/28

M3 - Conference article

JO - Proceedings / IEEE International Conference on Robotics and Automation

JF - Proceedings / IEEE International Conference on Robotics and Automation

SN - 1050-4729

ER -