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Min Zhang

18 papers hereh-index 181.6k citations60 works total

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

author position
  • first author3
  • middle author6
  • last author9

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.CV7
  • cs.IR1
same name
  • Min Zhang — 49 papers, h 11
  • Min Zhang — 32 papers, h 11
  • Min Zhang — 27 papers, h 7
  • Min Zhang — 25 papers, h 6
  • Min Zhang — 24 papers, h 26
  • Min Zhang — 23 papers, h 9

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
20182023
most citedR-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method

76 citations · 167 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 5 cited

Learning Semantic-Aligned Feature Representation for Text-based Person Search

Shiping Li, Min Cao, Min Zhang

Text-based person search aims to retrieve images of a certain pedestrian by a textual description. The key challenge of this task is to eliminate the inter-modality gap and achieve…

cs.CV2021

GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method

Pranav Kadam, Min Zhang, Jiahao Gu +2

Visual odometry aims to track the incremental motion of an object using the information captured by visual sensors. In this work, we study the point cloud odometry problem, where o…

cs.CV2021★ 17 cited

GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds

Min Zhang, Pranav Kadam, Shan Liu +1

An efficient solution to semantic segmentation of large-scale indoor scene point clouds is proposed in this work. It is named GSIP (Green Segmentation of Indoor Point clouds) and i…

cs.CV2021★ 76 cited

R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method

Pranav Kadam, Min Zhang, Shan Liu +1

Inspired by the recent PointHop classification method, an unsupervised 3D point cloud registration method, called R-PointHop, is proposed in this work. R-PointHop first determines…

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