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Zuoyong Li

9 papers hereh-index 294.4k citations185 works total

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

author position
  • middle author5
  • last author4

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG3
same name
  • Zuoyong Li — 2 papers, h 7
  • Zuoyong Li — 1 paper, h 8
  • Zuoyong Li — 1 paper, h 4

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
20192023
most citedClass-Specific Distribution Alignment for Semi-Supervised Medical Image Classification

12 citations · 38 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 12 cited

Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification

Zhongzheng Huang, Jiawei Wu, Tao Wang +2

Despite the success of deep neural networks in medical image classification, the problem remains challenging as data annotation is time-consuming, and the class distribution is imb…

cs.CV2023★ 8 cited

Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment

Tao Wang, Zhongzheng Huang, Jiawei Wu +2

Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due…

cs.CV2023★ 1 cited

dugMatting: Decomposed-Uncertainty-Guided Matting

Jiawei Wu, Changqing Zhang, Zuoyong Li +3

Cutting out an object and estimating its opacity mask, known as image matting, is a key task in image and video editing. Due to the highly ill-posed issue, additional inputs, typic…

cs.CV2023

Spatio-Temporal Context Modeling for Road Obstacle Detection

Xiuen Wu, Tao Wang, Lingyu Liang +2

Road obstacle detection is an important problem for vehicle driving safety. In this paper, we aim to obtain robust road obstacle detection based on spatio-temporal context modeling…

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