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Kaiqi Huang

38 papers hereh-index 5615.2k citations256 works total

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

author position
  • middle author5
  • last author31

Across the 36 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CV31
  • cs.AI3
  • cs.LG2
  • cs.GR1
  • cs.MA1
same name
  • Kaiqi Huang — 14 papers, h 11
  • Kaiqi Huang — 12 papers, h 10
  • Kaiqi Huang — 6 papers, h 5
  • Kaiqi Huang — 3 papers, h 1
  • Kaiqi Huang — 2 papers
  • Kaiqi Huang — 2 papers, h 1

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
20102023
most citedGOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

1.9k citations · 3k across the 38 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016

A Large-scale Distributed Video Parsing and Evaluation Platform

Kai Yu, Yang Zhou, Da Li +2

Visual surveillance systems have become one of the largest data sources of Big Visual Data in real world. However, existing systems for video analysis still lack the ability to han…

cs.CV2016★ 12 cited

Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization

Kai Yu, Biao Leng, Zhang Zhang +2

State-of-the-art methods treat pedestrian attribute recognition as a multi-label image classification problem. The location information of person attributes is usually eliminated o…

cs.CV2016★ 12 cited

A Multi-task Deep Network for Person Re-identification

Weihua Chen, Xiaotang Chen, Jianguo Zhang +1

Person re-identification (ReID) focuses on identifying people across different scenes in video surveillance, which is usually formulated as a binary classification task or a rankin…

cs.CV2016★ 178 cited

A Richly Annotated Dataset for Pedestrian Attribute Recognition

Dangwei Li, Zhang Zhang, Xiaotang Chen +2

In this paper, we aim to improve the dataset foundation for pedestrian attribute recognition in real surveillance scenarios. Recognition of human attributes, such as gender, and cl…

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