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Yimeng Li

George Mason University

4 papers hereh-index 5108 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO1
affiliations
  • George Mason University
HomepageORCID 0000-0002-0090-3512
same name
  • Yimeng Li — 2 papers, h 8
  • Yimeng Li — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedSimultaneous Mapping and Target Driven Navigation

11 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 1 cited

Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene

Sulabh Shrestha, Yimeng Li, Jana Kosecka

The ability to endow maps of indoor scenes with semantic information is an integral part of robotic agents which perform different tasks such as target driven navigation, object se…

cs.RO2022★ 4 cited

Using Unmanned Aerial Systems (UAS) for Assessing and Monitoring Fall Hazard Prevention Systems in High-rise Building Projects

Yimeng Li, Behzad Esmaeili, Masoud Gheisari +2

This study develops a framework for unmanned aerial systems (UASs) to monitor fall hazard prevention systems near unprotected edges and openings in high-rise building projects. A t…

cs.CV2020

Learning View and Target Invariant Visual Servoing for Navigation

Yimeng Li, Jana Kosecka

The advances in deep reinforcement learning recently revived interest in data-driven learning based approaches to navigation. In this paper we propose to learn viewpoint invariant…

cs.CV2019★ 11 cited

Simultaneous Mapping and Target Driven Navigation

Georgios Georgakis, Yimeng Li, Jana Kosecka

This work presents a modular architecture for simultaneous mapping and target driven navigation in indoors environments. The semantic and appearance stored in 2.5D map is distilled…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.