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researcher

Xueqian Li

4 papers hereh-index 4275 citations9 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1
  • cs.LG1
same name
  • Xueqian Li — 9 papers, h 8
  • Xueqian Li — 6 papers, h 8
  • Xueqian Li — 6 papers, h 3
  • Xueqian Li — 3 papers, h 2
  • Xueqian Li — 1 paper, h 1

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
20192026
most citedA Multi-Domain Feature Learning Method for Visual Place Recognition

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis

Pei Yang, Wanyi Chen, Asuka Yuxi Zheng +13

Large language model (LLM) agents offer a promising data-driven approach to automating Site Reliability Engineering (SRE), yet their enterprise deployment is constrained by three c…

cs.CV2021

Neural Scene Flow Prior

Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey

Before the deep learning revolution, many perception algorithms were based on runtime optimization in conjunction with a strong prior/regularization penalty. A prime example of thi…

cs.RO2019

MRS-VPR: a multi-resolution sampling based global visual place recognition method

Peng Yin, Rangaprasad Arun Srivatsan, Yin Chen +7

Place recognition and loop closure detection are challenging for long-term visual navigation tasks. SeqSLAM is considered to be one of the most successful approaches to achieving l…

cs.RO2019★ 5 cited

A Multi-Domain Feature Learning Method for Visual Place Recognition

Peng Yin, Lingyun Xu, Xueqian Li +6

Visual Place Recognition (VPR) is an important component in both computer vision and robotics applications, thanks to its ability to determine whether a place has been visited and…

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