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researcher

Chao Zhang

11 papers hereh-index 8277 citations43 works total

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

author position
  • first author2
  • middle author3
  • last author5

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.NE1
same name
  • Chao Zhang — 40 papers, h 21
  • Chao Zhang — 38 papers, h 38
  • Chao Zhang — 28 papers, h 10
  • Chao Zhang — 26 papers, h 22
  • Chao Zhang — 23 papers, h 7
  • Chao Zhang — 23 papers, h 11

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
20182021
most citedSketch-based Normal Map Generation with Geometric Sampling

9 citations · 14 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020

Example-based Color Transfer with Gaussian Mixture Modeling

Chunzhi Gu, Xuequan Lu, Chao Zhang

Color transfer, which plays a key role in image editing, has attracted noticeable attention recently. It has remained a challenge to date due to various issues such as time-consumi…

cs.CV2020

Deep Patch-based Human Segmentation

Dongbo Zhang, Zheng Fang, Xuequan Lu +4

3D human segmentation has seen noticeable progress in re-cent years. It, however, still remains a challenge to date. In this paper, weintroduce a deep patch-based method for 3D hum…

cs.NE2020

SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm

Takumi Nakane, Xuequan Lu, Chao Zhang

In evolutionary algorithms, genetic operators iteratively generate new offspring which constitute a potentially valuable set of search history. To boost the performance of crossove…

cs.CV2020

G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data

Chao Zhang, Xuequan Lu, Katsuya Hotta +1

In this paper we attempt to address the problem of geometric multi-model fitting with resorting to a few weakly annotated (WA) data points, which has been sparsely studied so far.…

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