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Hadi Soltanizadeh

dblp:95/7442 · DBLP profile ↗
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9ranked-venue papers
0as first author
5since 2021 · last 2026
0000-0002-2210-675XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 3 since 2021Artificial intelligence and machine learning · 3 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Face, body and person analysis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Face, body and person analysis
person re-identification		 0.312018
Histogram of the node strength and histogram of the edge weight: two new features for RGB-D person re-identification · Sci. China Inf. Sci. 2018
Computer vision › Face, body and person analysis › person re-identification › multi-modal person re-identification
RGB-D person re-identification		 0.312018
Histogram of the node strength and histogram of the edge weight: two new features for RGB-D person re-identification · Sci. China Inf. Sci. 2018

Methods — techniques the papers use, named apart from their topics

histogram of node strength · 0.3histogram of edge weight · 0.3
YearPublicationVenuePosition
2026 Partial derivative regularized knowledge transformation for deep neural networks generalization
Sajedeh Morabbi, Hadi Soltanizadeh, Saeed Mozaffari, Mohammad Javad Fadaeieslam
 Pattern Anal. Appl.2
2023 Improving generalization in deep neural network using knowledge transformation based on fisher criterion
Sajedeh Morabbi, Hadi Soltanizadeh, Saeed Mozaffari, Mohammad Javad Fadaeieslam
 J. Supercomput.2
2023 Image classification via convolutional sparse coding
Ali Nozaripour, Hadi Soltanizadeh
 Vis. Comput.2
2022 Detection of gait disorders in people with a walking disability
Esmaeel Khaleghi, Hadi Soltanizadeh, Masoume Gholizade, Farhad Azadi, Mohammad Zahraei, Mohammad Rahmanimanesh
 Multim. Tools Appl.2
2022 Discriminative convolution sparse coding for robust image classification
Ali Nozaripour, Hadi Soltanizadeh
 Multim. Tools Appl.2
2020 Tensor-based sparse canonical correlation analysis via low rank matrix approximation for RGB-D long-term person re-identification
Zeynab Imani, Hadi Soltanizadeh, Ali A. Orouji
 Multim. Tools Appl.2
2019 Multi-constraint QoS routing using a customized lightweight evolutionary strategy
Samaneh Torkzadeh, Hadi Soltanizadeh, Ali A. Orouji
 Soft Comput.2
2018 Histogram of the node strength and histogram of the edge weight: two new features for RGB-D person re-identification
Zeynab Imani, Hadi Soltanizadeh
 Sci. China Inf. Sci.2
2009 ICDAR 2009 Handwritten Farsi/Arabic Character Recognition Competition
abstract
In recent years, the recognition of Farsi and Arabic handwriting is drawing increasing attention. This paper describes the result of the ICDAR 2009 competition for handwritten Farsi/Arabic character recognition. To evaluate the submitted systems, we used large datasets containing both binary and gray-scale images. Many different groups downloaded the training sets; however, finally 4 systems successfully participated in the competition. The systems were tested on two known databases and one unknown dataset. Due to the similarity between some digits and characters in Farsi and Arabic, each recognizer was tested for digit and character sets separately. For benchmarking, only the recognition rates, as the most important characteristic, are considered. Since participants used different software and even operating systems, the relative recognition speed is not compared in this competition.
Saeed Mozaffari, Hadi Soltanizadeh
 ICDAR2