---
_id: '5573'
abstract:
- lang: eng
text: Graph matching problems for large displacement optical flow of RGB-D images.
article_processing_charge: No
author:
- first_name: Hassan
full_name: Alhaija, Hassan
last_name: Alhaija
- first_name: Anita
full_name: Sellent, Anita
last_name: Sellent
- first_name: Daniel
full_name: Kondermann, Daniel
last_name: Kondermann
- first_name: Carsten
full_name: Rother, Carsten
last_name: Rother
citation:
ama: Alhaija H, Sellent A, Kondermann D, Rother C. Graph matching problems for GraphFlow
– 6D Large Displacement Scene Flow. 2018. doi:10.15479/AT:ISTA:82
apa: Alhaija, H., Sellent, A., Kondermann, D., & Rother, C. (2018). Graph matching
problems for GraphFlow – 6D Large Displacement Scene Flow. Institute of Science
and Technology Austria. https://doi.org/10.15479/AT:ISTA:82
chicago: Alhaija, Hassan, Anita Sellent, Daniel Kondermann, and Carsten Rother.
“Graph Matching Problems for GraphFlow – 6D Large Displacement Scene Flow.” Institute
of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:82.
ieee: H. Alhaija, A. Sellent, D. Kondermann, and C. Rother, “Graph matching problems
for GraphFlow – 6D Large Displacement Scene Flow.” Institute of Science and Technology
Austria, 2018.
ista: Alhaija H, Sellent A, Kondermann D, Rother C. 2018. Graph matching problems
for GraphFlow – 6D Large Displacement Scene Flow, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:82.
mla: Alhaija, Hassan, et al. Graph Matching Problems for GraphFlow – 6D Large
Displacement Scene Flow. Institute of Science and Technology Austria, 2018,
doi:10.15479/AT:ISTA:82.
short: H. Alhaija, A. Sellent, D. Kondermann, C. Rother, (2018).
contributor:
- contributor_type: researcher
first_name: Paul
id: 446560C6-F248-11E8-B48F-1D18A9856A87
last_name: Swoboda
datarep_id: '82'
date_created: 2018-12-12T12:31:36Z
date_published: 2018-01-04T00:00:00Z
date_updated: 2024-02-21T13:41:17Z
day: '04'
ddc:
- '001'
department:
- _id: VlKo
doi: 10.15479/AT:ISTA:82
file:
- access_level: open_access
checksum: 53c17082848e12f3c2e1b4185b578208
content_type: application/zip
creator: system
date_created: 2018-12-12T13:02:34Z
date_updated: 2020-07-14T12:47:05Z
file_id: '5600'
file_name: IST-2018-82-v1+1_GraphFlowMatchingProblems.zip
file_size: 1737958
relation: main_file
file_date_updated: 2020-07-14T12:47:05Z
has_accepted_license: '1'
keyword:
- graph matching
- quadratic assignment problem<
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '01'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
link:
- relation: research_paper
url: https://doi.org/10.1007/978-3-319-24947-6_23
status: public
title: Graph matching problems for GraphFlow – 6D Large Displacement Scene Flow
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '5561'
abstract:
- lang: eng
text: 'Graph matching problems as described in "Active Graph Matching for Automatic
Joint Segmentation and Annotation of C. Elegans." by Kainmueller, Dagmar and Jug,
Florian and Rother, Carsten and Myers, Gene, MICCAI 2014. Problems are in OpenGM2
hdf5 format (see http://hciweb2.iwr.uni-heidelberg.de/opengm/) and a custom text
format used by the feature matching solver described in "Feature Correspondence
via Graph Matching: Models and Global Optimization." by Lorenzo Torresani, Vladimir
Kolmogorov and Carsten Rother, ECCV 2008, code at http://pub.ist.ac.at/~vnk/software/GraphMatching-v1.02.src.zip. '
acknowledgement: We thank Vladimir Kolmogorov and Stephan Saalfeld forinspiring discussions.
article_processing_charge: No
author:
- first_name: Dagmar
full_name: Kainmueller, Dagmar
last_name: Kainmueller
- first_name: Florian
full_name: Jug, Florian
last_name: Jug
- first_name: Carsten
full_name: Rother, Carsten
last_name: Rother
- first_name: Gene
full_name: Meyers, Gene
last_name: Meyers
citation:
ama: Kainmueller D, Jug F, Rother C, Meyers G. Graph matching problems for annotating
C. Elegans. 2017. doi:10.15479/AT:ISTA:57
apa: Kainmueller, D., Jug, F., Rother, C., & Meyers, G. (2017). Graph matching
problems for annotating C. Elegans. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:57
chicago: Kainmueller, Dagmar, Florian Jug, Carsten Rother, and Gene Meyers. “Graph
Matching Problems for Annotating C. Elegans.” Institute of Science and Technology
Austria, 2017. https://doi.org/10.15479/AT:ISTA:57.
ieee: D. Kainmueller, F. Jug, C. Rother, and G. Meyers, “Graph matching problems
for annotating C. Elegans.” Institute of Science and Technology Austria, 2017.
ista: Kainmueller D, Jug F, Rother C, Meyers G. 2017. Graph matching problems for
annotating C. Elegans, Institute of Science and Technology Austria, 10.15479/AT:ISTA:57.
mla: Kainmueller, Dagmar, et al. Graph Matching Problems for Annotating C. Elegans.
Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:57.
short: D. Kainmueller, F. Jug, C. Rother, G. Meyers, (2017).
datarep_id: '57'
date_created: 2018-12-12T12:31:32Z
date_published: 2017-02-13T00:00:00Z
date_updated: 2024-02-21T13:46:31Z
day: '13'
ddc:
- '000'
department:
- _id: VlKo
doi: 10.15479/AT:ISTA:57
file:
- access_level: open_access
checksum: 3dc3e1306a66028a34181ebef2923139
content_type: application/zip
creator: system
date_created: 2018-12-12T13:02:54Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5614'
file_name: IST-2017-57-v1+1_wormMatchingProblems.zip
file_size: 327042819
relation: main_file
file_date_updated: 2020-07-14T12:47:03Z
has_accepted_license: '1'
keyword:
- graph matching
- feature matching
- QAP
- MAP-inference
month: '02'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
status: public
title: Graph matching problems for annotating C. Elegans
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '5557'
abstract:
- lang: eng
text: "Small synthetic discrete tomography problems.\r\nSizes are 32x32, 64z64 and
256x256.\r\nProjection angles are 2, 4, and 6.\r\nNumber of labels are 3 and 5."
article_processing_charge: No
author:
- first_name: Paul
full_name: Swoboda, Paul
id: 446560C6-F248-11E8-B48F-1D18A9856A87
last_name: Swoboda
citation:
ama: Swoboda P. Synthetic discrete tomography problems. 2016. doi:10.15479/AT:ISTA:46
apa: Swoboda, P. (2016). Synthetic discrete tomography problems. Institute of Science
and Technology Austria. https://doi.org/10.15479/AT:ISTA:46
chicago: Swoboda, Paul. “Synthetic Discrete Tomography Problems.” Institute of Science
and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:46.
ieee: P. Swoboda, “Synthetic discrete tomography problems.” Institute of Science
and Technology Austria, 2016.
ista: Swoboda P. 2016. Synthetic discrete tomography problems, Institute of Science
and Technology Austria, 10.15479/AT:ISTA:46.
mla: Swoboda, Paul. Synthetic Discrete Tomography Problems. Institute of
Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:46.
short: P. Swoboda, (2016).
contributor:
- contributor_type: data_collector
first_name: Jan
last_name: Kuske
datarep_id: '46'
date_created: 2018-12-12T12:31:31Z
date_published: 2016-09-20T00:00:00Z
date_updated: 2024-02-21T13:50:21Z
day: '20'
ddc:
- '006'
department:
- _id: VlKo
doi: 10.15479/AT:ISTA:46
file:
- access_level: open_access
checksum: aa5a16a0dc888da7186fb8fc45e88439
content_type: application/zip
creator: system
date_created: 2018-12-12T13:05:19Z
date_updated: 2020-07-14T12:47:02Z
file_id: '5645'
file_name: IST-2016-46-v1+1_discrete_tomography_synthetic.zip
file_size: 36058401
relation: main_file
file_date_updated: 2020-07-14T12:47:02Z
has_accepted_license: '1'
keyword:
- discrete tomography
month: '09'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
status: public
title: Synthetic discrete tomography problems
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2016'
...