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Jing Zhang

20 papers hereh-index 9667 citations26 works total

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

author position
  • middle author16
  • last author1

Across the 17 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV20
same name
  • Jing Zhang — 57 papers, h 41
  • Jing Zhang — 39 papers, h 23
  • Jing Zhang — 35 papers, h 32
  • Jing Zhang — 27 papers, h 21
  • Jing Zhang — 23 papers, h 19
  • Jing Zhang — 21 papers, h 11

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
20212026
most citedSAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model

50 citations · 72 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 2 cited

Multi-Granularity Hand Action Detection

Ting Zhe, Jing Zhang, Yongqian Li +3

Detecting hand actions in videos is crucial for understanding video content and has diverse real-world applications. Existing approaches often focus on whole-body actions or coarse…

cs.CV2023★ 6 cited

Scalable Mask Annotation for Video Text Spotting

Haibin He, Jing Zhang, Mengyang Xu +3

Video text spotting refers to localizing, recognizing, and tracking textual elements such as captions, logos, license plates, signs, and other forms of text within consecutive vide…

cs.CV2023★ 1 cited

DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting

Maoyuan Ye, Jing Zhang, Shanshan Zhao +4

End-to-end text spotting aims to integrate scene text detection and recognition into a unified framework. Dealing with the relationship between the two sub-tasks plays a pivotal ro…

cs.CV2023★ 50 cited

SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model

Di Wang, Jing Zhang, Bo Du +4

The success of the Segment Anything Model (SAM) demonstrates the significance of data-centric machine learning. However, due to the difficulties and high costs associated with anno…

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