date: 2021-06-14T09:22:32Z pdf:unmappedUnicodeCharsPerPage: 0 pdf:PDFVersion: 1.3 pdf:docinfo:title: A Convex Relaxation for Multi-Graph Matching dc:description: IEEE Conference on Computer Vision and Pattern Recognition access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: IEEE Conference on Computer Vision and Pattern Recognition dc:creator: Paul Swoboda description: IEEE Conference on Computer Vision and Pattern Recognition Last-Modified: 2021-06-14T09:22:32Z dcterms:modified: 2021-06-14T09:22:32Z dc:format: application/pdf; version=1.3 title: A Convex Relaxation for Multi-Graph Matching xmpMM:DocumentID: uuid:cba90edd-8040-4e11-9dfa-53b52bca9088 Last-Save-Date: 2021-06-14T09:22:32Z access_permission:fill_in_form: true pdf:docinfo:modified: 2021-06-14T09:22:32Z meta:save-date: 2021-06-14T09:22:32Z pdf:encrypted: false dc:title: A Convex Relaxation for Multi-Graph Matching modified: 2021-06-14T09:22:32Z cp:subject: IEEE Conference on Computer Vision and Pattern Recognition pdf:docinfo:subject: IEEE Conference on Computer Vision and Pattern Recognition Content-Type: application/pdf pdf:docinfo:creator: Paul Swoboda, Dagmar Kainm"uller, Ashkan Mokarian, Christian Theobalt, Florian Bernard X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Paul Swoboda meta:author: Paul Swoboda access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 10 pdf:charsPerPage: 2933 access_permission:extract_content: true access_permission:can_print: true Author: Paul Swoboda producer: PyPDF2 access_permission:can_modify: true pdf:docinfo:producer: PyPDF2