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Ding Liu

25 papers hereh-index 3912.5k citations101 works total

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

author position
  • first author5
  • middle author14
  • last author3

Across the 22 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • cs.LG4
  • eess.IV1
  • stat.ML1
same name
  • Ding Liu — 7 papers, h 6
  • Ding Liu — 5 papers
  • Ding Liu — 3 papers, h 3
  • Ding Liu — 2 papers, h 3
  • Ding Liu — 2 papers, h 8
  • Ding Liu — 2 papers, h 5

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
20172023
most citedCompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation

15 citations · 37 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 15 cited

CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation

Yang Fu, Linjie Yang, Ding Liu +2

Video instance segmentation is a complex task in which we need to detect, segment, and track each object for any given video. Previous approaches only utilize single-frame features…

cs.LG2020

Outlier Detection Using a Novel method: Quantum Clustering

Ding Liu, Hui Li

We propose a new assumption in outlier detection: Normal data instances are commonly located in the area that there is hardly any fluctuation on data density, while outliers are of…

cs.CV2020★ 9 cited

Neural Sparse Representation for Image Restoration

Yuchen Fan, Jiahui Yu, Yiqun Mei +4

Inspired by the robustness and efficiency of sparse representation in sparse coding based image restoration models, we investigate the sparsity of neurons in deep networks. Our met…

cs.CV2020

Pyramid Attention Networks for Image Restoration

Yiqun Mei, Yuchen Fan, Yulun Zhang +6

Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locations and scales. However, rece…

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