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researcher

Jun Wang

4 papers hereh-index 11655 citations23 works total

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

author position
  • sole author1
  • middle author1
  • last author1

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

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
same name
  • Jun Wang — 28 papers, h 47
  • Jun Wang — 20 papers
  • Jun Wang — 13 papers
  • Jun Wang — 11 papers
  • Jun Wang — 8 papers, h 26
  • Jun Wang — 7 papers, h 7

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 citedMultiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images

2 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Two-phase weakly supervised object detection with pseudo ground truth mining

Jun Wang

Weakly Supervised Object Detection (WSOD), aiming to train detectors with only image-level dataset, has arisen increasing attention for researchers. In this project, we focus on tw…

eess.IV2021★ 2 cited

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images

Jingxiong Li, Yaqi Wang, Shuai Wang +4

Coronavirus disease 2019 (COVID-19) is one of the most destructive pandemic after millennium, forcing the world to tackle a health crisis. Automated lung infections classification…

cs.LG2018

Detecting Adversarial Examples via Key-based Network

Pinlong Zhao, Zhouyu Fu, Ou wu +2

Though deep neural networks have achieved state-of-the-art performance in visual classification, recent studies have shown that they are all vulnerable to the attack of adversarial…

cs.CV2018

Scalable Angular Discriminative Deep Metric Learning for Face Recognition

Bowen Wu, Huaming Wu, Monica M. Y. Zhang

With the development of deep learning, Deep Metric Learning (DML) has achieved great improvements in face recognition. Specifically, the widely used softmax loss in the training pr…

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