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researcher

Xiaoqin Zhang

4 papers hereh-index 375.7k citations139 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
same name
  • Xiaoqin Zhang — 17 papers, h 7
  • Xiaoqin Zhang — 11 papers, h 10
  • Xiaoqin Zhang — 10 papers, h 17
  • Xiaoqin Zhang — 5 papers, h 13
  • Xiaoqin Zhang — 3 papers, h 4
  • Xiaoqin Zhang — 2 papers, h 5

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
20142021
most citedMultiple Object Tracking: A Literature Review

1.1k citations · 1.3k across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 116 cited

Semantics-Guided Contrastive Network for Zero-Shot Object detection

Caixia Yan, Xiaojun Chang, Minnan Luo +3

Zero-shot object detection (ZSD), the task that extends conventional detection models to detecting objects from unseen categories, has emerged as a new challenge in computer vision…

cs.LG2020★ 9 cited

Self-Weighted Robust LDA for Multiclass Classification with Edge Classes

Caixia Yan, Xiaojun Chang, Minnan Luo +4

Linear discriminant analysis (LDA) is a popular technique to learn the most discriminative features for multi-class classification. A vast majority of existing LDA algorithms are p…

cs.LG2016★ 3 cited

Constructive neural network learning

Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang

In this paper, we aim at developing scalable neural network-type learning systems. Motivated by the idea of "constructive neural networks" in approximation theory, we focus on "con…

cs.CV2014★ 1.1k cited

Multiple Object Tracking: A Literature Review

Wenhan Luo, Junliang Xing, Anton Milan +3

Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed to tackle this problem…

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