Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Zengqiang Zheng

dblp:309/6603 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Image recognition and object detection · 50% Efficient and distributed learning · 25% Graph learning · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
collaborative learning
0.812024
Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024
Machine learning › Graph learning › limited supervision › multi-view semi-supervised learning
co-training
0.812024
Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024
Computer vision › Image recognition and object detection
object detection
0.812024
Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024
Computer vision › Image recognition and object detection › object detection › weakly supervised object detection
sparsely annotated object detection
0.812024
Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection · ECCV (47) 2024

Methods — techniques the papers use, named apart from their topics

co-training · 0.8
YearPublicationVenuePosition
2024 Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection
Lianjun Wu, Jiangxiao Han, Zengqiang Zheng, Xinggang Wang
ECCV (47)3