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Peng Yin

4 papers here

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.CV2
  • cs.RO1
  • quant-ph1
ORCID 0000-0002-5515-2824
same name
  • Peng Yin — 14 papers
  • Peng Yin — 5 papers, h 11
  • Peng Yin — 2 papers, h 50
  • Peng Yin — 2 papers
  • Peng Yin — 1 paper, h 3

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

most citedALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization

15 citations · 17 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2023

Experimental super-Heisenberg quantum metrology with indefinite gate order

Peng Yin, Xiaobin Zhao, Yuxiang Yang +10

The precision of quantum metrology is widely believed to be restricted by the Heisenberg limit, corresponding to a root mean square error that is inversely proportional to the numb…

cs.RO2022★ 2 cited

BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition

Peng Yin, Abulikemu Abuduweili, Shiqi Zhao +2

We present BioSLAM, a lifelong SLAM framework for learning various new appearances incrementally and maintaining accurate place recognition for previously visited areas. Unlike hum…

cs.CV2022★ 15 cited

ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization

Ivan Cisneros, Peng Yin, Ji Zhang +2

We present the ALTO dataset, a vision-focused dataset for the development and benchmarking of Visual Place Recognition and Localization methods for Unmanned Aerial Vehicles. The da…

cs.CV2022

SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor

Shiqi Zhao, Peng Yin, Ge Yi +1

LiDAR-based localization approach is a fundamental module for large-scale navigation tasks, such as last-mile delivery and autonomous driving, and localization robustness highly re…

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