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Ying Cui

4 papers hereh-index 91.4k citations22 works total

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • Ying Cui — 84 papers, h 32
  • Ying Cui — 19 papers, h 15
  • Ying Cui — 16 papers, h 6
  • Ying Cui — 6 papers, h 5
  • Ying Cui — 3 papers
  • Ying Cui — 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

most citedSiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

41 citations · 43 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 2 cited

Graph Attention Tracking

Dongyan Guo, Yanyan Shao, Ying Cui +3

Siamese network based trackers formulate the visual tracking task as a similarity matching problem. Almost all popular Siamese trackers realize the similarity learning via convolut…

cs.CV2020

Improving auto-encoder novelty detection using channel attention and entropy minimization

Miao Tian, Dongyan Guo, Ying Cui +2

Novelty detection is a important research area which mainly solves the classification problem of inliers which usually consists of normal samples and outliers composed of abnormal…

cs.CV2019★ 41 cited

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

Dongyan Guo, Jun Wang, Ying Cui +2

By decomposing the visual tracking task into two subproblems as classification for pixel category and regression for object bounding box at this pixel, we propose a novel fully con…

cs.CV2019

End-to-end feature fusion siamese network for adaptive visual tracking

Dongyan Guo, Jun Wang, Weixuan Zhao +3

According to observations, different visual objects have different salient features in different scenarios. Even for the same object, its salient shape and appearance features may…

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