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Lei Zhou

23 papers hereh-index 255.2k citations40 works total

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

author position
  • first author5
  • middle author18

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.AI1
  • eess.IV1
same name
  • Lei Zhou — 14 papers, h 51
  • Lei Zhou — 10 papers, h 9
  • Lei Zhou — 8 papers, h 13
  • Lei Zhou — 8 papers, h 62
  • Lei Zhou — 8 papers, h 9
  • Lei Zhou — 6 papers, h 4

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
20172026
most citedGeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

201 citations · 592 across the 23 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 9 cited

Matchable Image Retrieval by Learning from Surface Reconstruction

Tianwei Shen, Zixin Luo, Lei Zhou +4

Convolutional Neural Networks (CNNs) have achieved superior performance on object image retrieval, while Bag-of-Words (BoW) models with handcrafted local features still dominate th…

cs.AI2018★ 61 cited

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

Chao Shang, Yun Tang, Jing Huang +3

Knowledge graph embedding has been an active research topic for knowledge base completion, with progressive improvement from the initial TransE, TransH, DistMult et al to the curre…

cs.CV2018★ 201 cited

GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

Zixin Luo, Tianwei Shen, Lei Zhou +5

Learned local descriptors based on Convolutional Neural Networks (CNNs) have achieved significant improvements on patch-based benchmarks, whereas not having demonstrated strong gen…

cs.CV2018★ 31 cited

Learning and Matching Multi-View Descriptors for Registration of Point Clouds

Lei Zhou, Siyu Zhu, Zixin Luo +5

Critical to the registration of point clouds is the establishment of a set of accurate correspondences between points in 3D space. The correspondence problem is generally addressed…

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