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Yipeng Liu

University of Electronic Science and Technology of China

40 papers hereh-index 242.5k citations103 works total

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

author position
  • sole author1
  • first author15
  • middle author13
  • last author10

Across the 39 of 40 papers where every author was matched, so the position is known.

fields
  • cs.IT26
  • cs.CV8
  • cs.CR2
  • eess.IV2
  • math.NA1
  • stat.ML1
affiliations
  • University of Electronic Science and Technology of China
Homepage
same name
  • Yipeng Liu — 45 papers, h 20
  • Yipeng Liu — 3 papers, h 0
  • Yipeng Liu — 1 paper, h 2
  • Yipeng Liu — 1 paper, h 45

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
20102020
most citedAMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

309 citations · 493 across the 39 of their papers we have counts for

collaborators
Showing 2016 · cs.CVShow all

3 papers · 2 filters

cs.CV2016★ 1 cited

Every Filter Extracts A Specific Texture In Convolutional Neural Networks

Zhiqiang Xia, Ce Zhu, Zhengtao Wang +2

Many works have concentrated on visualizing and understanding the inner mechanism of convolutional neural networks (CNNs) by generating images that activate some specific neurons,…

cs.CV2016★ 3 cited

3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder

Xinyu Lin, Ce Zhu, Qian Zhang +1

Researchers have proposed various methods to extract 3D keypoints from the surface of 3D mesh models over the last decades, but most of them are based on geometric methods, which l…

cs.CV2016★ 8 cited

Mesh Interest Point Detection Based on Geometric Measures and Sparse Refinement

Xinyu Lin, Ce Zhu, Yipeng Liu

Three dimensional (3D) interest point detection plays a fundamental role in 3D computer vision and graphics. In this paper, we introduce a new method for detecting mesh interest po…

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