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Jia Li

17 papers hereh-index 357k citations76 works total

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

author position
  • first author3
  • middle author9
  • last author5

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

fields
  • cs.CV16
  • cs.LG1
same name
  • Jia Li — 35 papers, h 16
  • Jia Li — 31 papers, h 28
  • Jia Li — 22 papers, h 5
  • Jia Li — 21 papers, h 8
  • Jia Li — 17 papers, h 3
  • Jia Li — 16 papers, h 13

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
20142024
most citedSalient Object Detection: A Benchmark

1.4k citations · 2.2k across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 241 cited

Learning Open Set Network with Discriminative Reciprocal Points

Guangyao Chen, Limeng Qiao, Yemin Shi +5

Open set recognition is an emerging research area that aims to simultaneously classify samples from predefined classes and identify the rest as 'unknown'. In this process, one of t…

cs.CV2020★ 20 cited

DanceIt: Music-inspired Dancing Video Synthesis

Xin Guo, Yifan Zhao, Jia Li

Close your eyes and listen to music, one can easily imagine an actor dancing rhythmically along with the music. These dance movements are usually made up of dance movements you hav…

cs.CV2020

Cooperative Bi-path Metric for Few-shot Learning

Zeyuan Wang, Yifan Zhao, Jia Li +1

Given base classes with sufficient labeled samples, the target of few-shot classification is to recognize unlabeled samples of novel classes with only a few labeled samples. Most e…

cs.CV2020★ 1 cited

Is Depth Really Necessary for Salient Object Detection?

Jiawei Zhao, Yifan Zhao, Jia Li +1

Salient object detection (SOD) is a crucial and preliminary task for many computer vision applications, which have made progress with deep CNNs. Most of the existing methods mainly…

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