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Lingqiao Liu

84 papers hereh-index 4410k citations150 works total

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

author position
  • first author5
  • middle author65
  • last author12

Across the 82 of 84 papers where every author was matched, so the position is known.

fields
  • cs.CV73
  • cs.CL9
  • cs.LG1
  • q-fin.GN1
same name
  • Lingqiao Liu — 12 papers, h 7
  • Lingqiao Liu — 9 papers, h 3
  • Lingqiao Liu — 7 papers, h 3
  • Lingqiao Liu — 5 papers, h 1
  • Lingqiao Liu — 5 papers, h 3
  • Lingqiao Liu — 4 papers, h 3

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
20142026
most citedFeature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection

175 citations · 1.3k across the 83 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

cs.CV2014★ 3 cited

The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification

Lingqiao Liu, Chunhua Shen, Anton van den Hengel

A number of recent studies have shown that a Deep Convolutional Neural Network (DCNN) pretrained on a large dataset can be adopted as a universal image description which leads to a…

cs.CV2014★ 68 cited

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors

Lingqiao Liu, Chunhua Shen, Lei Wang +2

Deriving from the gradient vector of a generative model of local features, Fisher vector coding (FVC) has been identified as an effective coding method for image classification. Mo…

cs.CV2014★ 72 cited

Mid-level Deep Pattern Mining

Yao Li, Lingqiao Liu, Chunhua Shen +1

Mid-level visual element discovery aims to find clusters of image patches that are both representative and discriminative. In this work, we study this problem from the prospective…

cs.CV2014

A Generalized Probabilistic Framework for Compact Codebook Creation

Lingqiao Liu, Lei Wang, Chunhua Shen

Compact and discriminative visual codebooks are preferred in many visual recognition tasks. In the literature, a number of works have taken the approach of hierarchically merging v…

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