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Saihui Hou

23 papers hereh-index 254.1k citations65 works total

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

author position
  • first author3
  • middle author16

Across the 19 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • cs.AI1
same name
  • Saihui Hou — 4 papers, h 2
  • Saihui Hou — 1 paper
  • Saihui Hou — 1 paper
  • Saihui Hou — 1 paper
  • Saihui Hou — 1 paper

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
20162026
most citedExploring Deep Models for Practical Gait Recognition

17 citations · 46 across the 20 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 5 cited

OpenGait: Revisiting Gait Recognition Toward Better Practicality

Chao Fan, Junhao Liang, Chuanfu Shen +3

Gait recognition is one of the most critical long-distance identification technologies and increasingly gains popularity in both research and industry communities. Despite the sign…

cs.CV2022★ 4 cited

Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition

Xuqian Ren, Saihui Hou, Chunshui Cao +2

Gait recognition is instrumental in crime prevention and social security, for it can be conducted at a long distance to figure out the identity of persons. However, existing datase…

cs.CV2022★ 1 cited

Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark

Chao Fan, Saihui Hou, Jilong Wang +2

Gait depicts individuals' unique and distinguishing walking patterns and has become one of the most promising biometric features for human identification. As a fine-grained recogni…

cs.CV2022★ 3 cited

GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality

Junhao Liang, Chao Fan, Saihui Hou +3

Gait is one of the most promising biometrics to identify individuals at a long distance. Although most previous methods have focused on recognizing the silhouettes, several end-to-…

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