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Xinqi Liu

5 papers hereh-index 455 citations17 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO1
same name
  • Xinqi Liu — 6 papers, h 5
  • Xinqi Liu — 2 papers, h 2
  • Xinqi Liu — 1 paper, h 5
  • Xinqi Liu — 1 paper, h 2
  • Xinqi Liu — 1 paper, h 1
  • Xinqi Liu — 1 paper, h 6

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 citedGVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

MVOFormer: Flow-Semantic Transformer for Robust Monocular Visual Odometry

Jituo Li, Shunwang Sun, Jialu Zhang +5

Monocular visual odometry (MVO) is foundational to autonomous navigation and robotic localization. However, existing learning-based MVO approaches often struggle with either a lack…

cs.CV2026

CylindTrack: Depth-Aware Cylindrical Motion Modeling for Panoramic Multi-Object Tracking in Mobile Robots

Buyin Deng, Kai Luo, Lingxin Huang +5

Maintaining consistent target identities and observation histories is essential for mobile robot perception. Panoramic Multi-Object Tracking (MOT) benefits from broad visual covera…

cs.CV2024

TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization

Jinbo Wu, Xing Liu, Chenming Wu +7

This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optima…

cs.CV2024★ 1 cited

GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos

Xinqi Liu, Chenming Wu, Jialun Liu +6

In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intrica…

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