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Guangcan Liu

26 papers hereh-index 359.9k citations107 works total

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

author position
  • sole author1
  • first author9
  • middle author16

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG6
  • cs.IT4
  • stat.ME2
same name
  • Guangcan Liu — 8 papers, h 6
  • Guangcan Liu — 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

activity
20102022
most citedRobust Recovery of Subspace Structures by Low-Rank Representation

3.7k citations · 4.1k across the 25 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

cs.CV2014★ 2 cited

A Latent Clothing Attribute Approach for Human Pose Estimation

Weipeng Zhang, Jie Shen, Guangcan Liu +1

As a fundamental technique that concerns several vision tasks such as image parsing, action recognition and clothing retrieval, human pose estimation (HPE) has been extensively inv…

cs.CV2014★ 17 cited

Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification

Jie Shen, Guangcan Liu, Jia Chen +4

In this paper, we utilize structured learning to simultaneously address two intertwined problems: human pose estimation (HPE) and garment attribute classification (GAC), which are…

stat.ME2014★ 4 cited

Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness

Guangcan Liu, Ping Li

A well-known method for completing low-rank matrices based on convex optimization has been established by Cand{è}s and Recht. Although theoretically complete, the method may not en…

stat.ME2014★ 26 cited

Recovery of Coherent Data via Low-Rank Dictionary Pursuit

Guangcan Liu, Ping Li

The recently established RPCA method provides us a convenient way to restore low-rank matrices from grossly corrupted observations. While elegant in theory and powerful in reality,…

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