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researcher

Wu Liu

19 papers hereh-index 335.1k citations70 works total

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

author position
  • first author1
  • middle author18

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.HC1
  • cs.LG1
same name
  • Wu Liu — 10 papers, h 2
  • Wu Liu — 8 papers, h 10
  • Wu Liu — 8 papers, h 5
  • Wu Liu — 5 papers, h 8
  • Wu Liu — 4 papers, h 6
  • Wu Liu — 3 papers, 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
20172023
most citedFastReID: A Pytorch Toolbox for General Instance Re-identification

123 citations · 291 across the 19 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 1 cited

Synthetic Training for Monocular Human Mesh Recovery

Yu Sun, Qian Bao, Wu Liu +4

Recovering 3D human mesh from monocular images is a popular topic in computer vision and has a wide range of applications. This paper aims to estimate 3D mesh of multiple body part…

cs.CV2020★ 8 cited

Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification

Boqiang Xu, Lingxiao He, Xingyu Liao +3

Person re-identification (Re-ID) aims at retrieving an input person image from a set of images captured by multiple cameras. Although recent Re-ID methods have made great success,…

cs.CV2020★ 123 cited

FastReID: A Pytorch Toolbox for General Instance Re-identification

Lingxiao He, Xingyu Liao, Wu Liu +3

General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identificatio…

cs.CV2020

A Real-time Action Representation with Temporal Encoding and Deep Compression

Kun Liu, Wu Liu, Huadong Ma +2

Deep neural networks have achieved remarkable success for video-based action recognition. However, most of existing approaches cannot be deployed in practice due to the high comput…

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