Combining Variable Convolution and Transformer Network for Image Super-Resolution Article Swipe

View

Kun Zeng , Kaipeng Zhang , Jianglong Zhao , Jinsheng Fang , Zuoyong Li ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1145/3757749.3757784

Related Topics

Continuously Variable Transmission

Variable-Sweep Wing

Variable-Frequency Drive

Variable Valve Timing

Variable Cost

Variable Star

Variable Specific Impulse Magnetoplasma Rocket

Cepheid Variable

Linear Variable Differential Transformer

Variable Air Volume

Variable Number Tandem Repeat

Concepts

No concepts available.

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1145/3757749.3757784
OA Status: gold
References: 9
OpenAlex ID: https://openalex.org/W4414182330

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4414182330

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1145/3757749.3757784

Digital Object Identifier
Title: Combining Variable Convolution and Transformer Network for Image Super-Resolution

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-06-06

Full publication date if available
Authors: Kun Zeng, Kaipeng Zhang, Jianglong Zhao, Jinsheng Fang, Zuoyong Li

List of authors in order
Landing page: https://doi.org/10.1145/3757749.3757784

Publisher landing page
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://doi.org/10.1145/3757749.3757784

Direct OA link when available
Cited by: 0

Total citation count in OpenAlex
References (count): 9

Number of works referenced by this work

Full payload

id	https://openalex.org/W4414182330
doi	https://doi.org/10.1145/3757749.3757784
ids.doi	https://doi.org/10.1145/3757749.3757784
ids.openalex	https://openalex.org/W4414182330
fwci	0.0
type	article
title	Combining Variable Convolution and Transformer Network for Image Super-Resolution
biblio.issue
biblio.volume
biblio.last_page	223
biblio.first_page	217
topics[0].id	https://openalex.org/T11105
topics[0].field.id	https://openalex.org/fields/17
topics[0].field.display_name	Computer Science
topics[0].score	1.0
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1707
topics[0].subfield.display_name	Computer Vision and Pattern Recognition
topics[0].display_name	Advanced Image Processing Techniques
topics[1].id	https://openalex.org/T10688
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.9987999796867371
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1707
topics[1].subfield.display_name	Computer Vision and Pattern Recognition
topics[1].display_name	Image and Signal Denoising Methods
topics[2].id	https://openalex.org/T11659
topics[2].field.id	https://openalex.org/fields/22
topics[2].field.display_name	Engineering
topics[2].score	0.9980999827384949
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/2214
topics[2].subfield.display_name	Media Technology
topics[2].display_name	Advanced Image Fusion Techniques
is_xpac	False
apc_list
apc_paid
language	en
locations[0].id	doi:10.1145/3757749.3757784
locations[0].is_oa	True
locations[0].source
locations[0].license	cc-by
locations[0].pdf_url
locations[0].version	publishedVersion
locations[0].raw_type	proceedings-article
locations[0].license_id	https://openalex.org/licenses/cc-by
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Proceedings of the 2025 2nd International Conference on Computer and Multimedia Technology
locations[0].landing_page_url	https://doi.org/10.1145/3757749.3757784
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5021459831
authorships[0].author.orcid	https://orcid.org/0000-0002-6713-2871
authorships[0].author.display_name	Kun Zeng
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I354108
authorships[0].affiliations[0].raw_affiliation_string	Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China
authorships[0].institutions[0].id	https://openalex.org/I354108
authorships[0].institutions[0].ror	https://ror.org/00s7tkw17
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I354108
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	Minjiang University
authorships[0].author_position	first
authorships[0].raw_author_name	Kun Zeng
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China
authorships[1].author.id	https://openalex.org/A5114126140
authorships[1].author.orcid
authorships[1].author.display_name	Kaipeng Zhang
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I80947539
authorships[1].affiliations[0].raw_affiliation_string	College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, China
authorships[1].institutions[0].id	https://openalex.org/I80947539
authorships[1].institutions[0].ror	https://ror.org/011xvna82
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I80947539
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	Fuzhou University
authorships[1].author_position	middle
authorships[1].raw_author_name	Kuanghong Zhang
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, China
authorships[2].author.id	https://openalex.org/A5111343124
authorships[2].author.orcid
authorships[2].author.display_name	Jianglong Zhao
authorships[2].countries	CN
authorships[2].affiliations[0].institution_ids	https://openalex.org/I9356336
authorships[2].affiliations[0].raw_affiliation_string	Key Laboratory of Data Science and Intelligence Application, School of Computer Science and Engineering, Minnan Normal University, Zhangzhou, Fujian, China
authorships[2].institutions[0].id	https://openalex.org/I9356336
authorships[2].institutions[0].ror	https://ror.org/02vj1vm13
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I9356336
authorships[2].institutions[0].country_code	CN
authorships[2].institutions[0].display_name	Zhangzhou Normal University
authorships[2].author_position	middle
authorships[2].raw_author_name	Jianglong Zhao
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Key Laboratory of Data Science and Intelligence Application, School of Computer Science and Engineering, Minnan Normal University, Zhangzhou, Fujian, China
authorships[3].author.id	https://openalex.org/A5016517146
authorships[3].author.orcid	https://orcid.org/0009-0002-0195-3260
authorships[3].author.display_name	Jinsheng Fang
authorships[3].countries	CN
authorships[3].affiliations[0].institution_ids	https://openalex.org/I9356336
authorships[3].affiliations[0].raw_affiliation_string	Key Laboratory of Data Science and Intelligence Application, School of Computer Science and Engineering, Minnan Normal University, Zhangzhou, Fujian, China
authorships[3].institutions[0].id	https://openalex.org/I9356336
authorships[3].institutions[0].ror	https://ror.org/02vj1vm13
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I9356336
authorships[3].institutions[0].country_code	CN
authorships[3].institutions[0].display_name	Zhangzhou Normal University
authorships[3].author_position	middle
authorships[3].raw_author_name	Jinsheng Fang
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Key Laboratory of Data Science and Intelligence Application, School of Computer Science and Engineering, Minnan Normal University, Zhangzhou, Fujian, China
authorships[4].author.id	https://openalex.org/A5091320821
authorships[4].author.orcid	https://orcid.org/0000-0003-0952-9915
authorships[4].author.display_name	Zuoyong Li
authorships[4].countries	CN
authorships[4].affiliations[0].institution_ids	https://openalex.org/I354108
authorships[4].affiliations[0].raw_affiliation_string	Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China
authorships[4].institutions[0].id	https://openalex.org/I354108
authorships[4].institutions[0].ror	https://ror.org/00s7tkw17
authorships[4].institutions[0].type	education
authorships[4].institutions[0].lineage	https://openalex.org/I354108
authorships[4].institutions[0].country_code	CN
authorships[4].institutions[0].display_name	Minjiang University
authorships[4].author_position	last
authorships[4].raw_author_name	Zuoyong Li
authorships[4].is_corresponding	False
authorships[4].raw_affiliation_strings	Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, School of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China
has_content.pdf	False
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://doi.org/10.1145/3757749.3757784
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Combining Variable Convolution and Transformer Network for Image Super-Resolution
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T11105
primary_topic.field.id	https://openalex.org/fields/17
primary_topic.field.display_name	Computer Science
primary_topic.score	1.0
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1707
primary_topic.subfield.display_name	Computer Vision and Pattern Recognition
primary_topic.display_name	Advanced Image Processing Techniques
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.1145/3757749.3757784
best_oa_location.is_oa	True
best_oa_location.source
best_oa_location.license	cc-by
best_oa_location.pdf_url
best_oa_location.version	publishedVersion
best_oa_location.raw_type	proceedings-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Proceedings of the 2025 2nd International Conference on Computer and Multimedia Technology
best_oa_location.landing_page_url	https://doi.org/10.1145/3757749.3757784
primary_location.id	doi:10.1145/3757749.3757784
primary_location.is_oa	True
primary_location.source
primary_location.license	cc-by
primary_location.pdf_url
primary_location.version	publishedVersion
primary_location.raw_type	proceedings-article
primary_location.license_id	https://openalex.org/licenses/cc-by
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Proceedings of the 2025 2nd International Conference on Computer and Multimedia Technology
primary_location.landing_page_url	https://doi.org/10.1145/3757749.3757784
publication_date	2025-06-06
publication_year	2025
referenced_works	https://openalex.org/W3013529009, https://openalex.org/W1885185971, https://openalex.org/W4366991981, https://openalex.org/W4385800595, https://openalex.org/W4378804909, https://openalex.org/W4390604941, https://openalex.org/W4245551996, https://openalex.org/W4249502209, https://openalex.org/W4247924304
referenced_works_count	9
abstract_inverted_index
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	5
citation_normalized_percentile.value	0.43796031
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False