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Matti Pietikäinen

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0003-2263-6731
same name
  • Matti Pietikäinen — 1 paper
  • Matti Pietikäinen — 1 paper, 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
20162023
most citedTwo decades of local binary patterns: A survey

73 citations · 92 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution

Zhuo Su, Jiehua Zhang, Tianpeng Liu +4

This paper proposes a novel module called middle spectrum grouped convolution (MSGC) for efficient deep convolutional neural networks (DCNNs) with the mechanism of grouped convolut…

cs.CV2023

From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning

Zhuo Su, Matti Pietikäinen, Li Liu

LBP is a successful hand-crafted feature descriptor in computer vision. However, in the deep learning era, deep neural networks, especially convolutional neural networks (CNNs) can…

cs.CV2017★ 73 cited

Two decades of local binary patterns: A survey

Matti Pietikäinen, Guoying Zhao

Texture is an important characteristic for many types of images. In recent years very discriminative and computationally efficient local texture descriptors based on local binary p…

cs.CV2016★ 19 cited

Spontaneous Facial Micro-Expression Recognition using Discriminative Spatiotemporal Local Binary Pattern with an Improved Integral Projection

Xiaohua Huang, Sujing Wang, Xin Liu +3

Recently, there are increasing interests in inferring mirco-expression from facial image sequences. Due to subtle facial movement of micro-expressions, feature extraction has becom…

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