--- _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' ...