*********************************************************** 3DOR 2021: Extended full paper submission deadline *********************************************************** 14th Workshop on 3D Object Retrieval 2021 (3DOR'21) In Cooperation with Eurographics and Elsevier September 2-3nd, 2021 Cardiff University, UK https://3dor2021.github.io/index.html 3DOR is the dedicated workshop series for methods, applications and benchmark-based evaluation of 3D object retrieval, classification, and similarity-based object processing. The workshop also includes the 2021 edition of the 3D Shape Retrieval Contest, keynotes, project presentations, and a social and networking event. Short papers will follow a one-stage review process and will appear in the Eurographics Digital Library (pending). Keynote Speakers: Prof. Thomas Funkhouser, Princeton University, USA Prof. Alex M. Bronstein, Technion, Israel Institute of Technology Important Dates: Full Paper Submissions for Computers & Graphics 1 April: Full paper submission, including SHREC papers 27 April: First decision 20 May: First revision 15 June: Second decision 30 June: Final version submission 5 June: Final decision 01 September 2021: Online publication Important Dates: Short Paper Submission for EG Digital Library 10 July: Short paper submission 25 July: Short paper notification 18 August: Short Paper final version submission 01 September 2021: Online publication 3D Object Retrieval Workshop Series From the very beginning, the aim of the 3DOR Workshop series is to stimulate researchers to present state-of-the-art work, learn about or discuss topics in the field 3D object retrieval, search and exploration in a multi-disciplinary context of expertise such as Computer Vision, Computer Graphics, Machine Learning, Cognitive Science and Human-Computer Interaction. 3DOR provides a cross-fertilization that will stimulate discussions on the next steps in this important research area. 3DOR 2021 will be the 14th workshop in this series. Search engines are now the default way in which most people engage with information, as the vast majority of information is born digital. 3D digital content is today pervasive: low-cost 3D scanners, 3D printers, and powerful modelling software have made 3D models appeal to an increasing audience. Repositories of 3D objects are rapidly growing in both number and size. Time-dependant acquisition, animation and simulation give rise to 3D objects as a function of time, yielding 4D objects. Yet, the task of exploring such large 3D/4D object repositories and retrieving the models of interest remains a challenging problem. It is crucial to develop algorithms for content-based searching of 3D object collections; creating compact and accurate descriptors for 3D objects; creating efficient storage structures for databases of 3D objects; investigating theoretical aspects of practical importance, such as the definition of the similarity concept; interfaces for content-based 3D object search; visualization techniques for 3D search results; real time aspects of techniques and algorithms; new challenges such as faceted 3D browsing, social search and navigation of hybrid datasets. The complex yet concrete problems above are drawing increasing attention from the research community, which is becoming more and more varied in terms of disciplines needed to solve various facets of the challenges. The 3DOR Workshop series has been characterized since the beginning by a specific attention to benchmarking with the organization of the session on the 3D Shape Retrieval Contest (SHREC). The general objective of the 3D Shape Retrieval Contest is to evaluate the effectiveness of 3D-shape retrieval methods and algorithms. SHREC 2021 is the 16th edition of the contest. As in previous years, it is organized in conjunction with the Eurographics Workshop on 3D Object Retrieval. Results papers from SHREC tracks will be reviewed in a two stage-review process, like regular full papers (see below). Call for Papers Authors are invited to submit original and unpublished research and application papers addressing all areas of 3D/4D Object Retrieval. State of the art papers on specific topics of interest are particularly welcome. Submissions are invited in the form of full papers, which will be peer-reviewed by a two-stage review process, and published as a special section of Computers and Graphics Journal (Elsevier). Also, short papers are invited, which will follow a one-stage review process and will appear in the Eurographics Digital Library (pending). Suggested topics include, but are not limited to: - 3D/4D shape analysis - 3D/4D shape similarity and matching - 3D/4D mesh sequence retrieval - 3D/4D mobile media retrieval - 3D/4D search in large scale data - 3D/4D object classification, indexing, and mining - Similarity of non-rigid shapes - Shape correspondence - 3D/4D shape decomposition, and segmentation - Partial, part-in-whole, and many-to-many matching - Matching under uncertainty and noise - Semantics-driven 3D/4D object retrieval and classification - Sketch-based retrieval - Query interfaces and search modalities - Benchmarking issues - Deep learning for 3D/4D shape retrieval - Generative/discriminative approaches in 3D object categorization - Visual Analytics for 3D similarity assessment - Applications in all areas relevant to 3D/4D objects, including multimedia and information systems, CAD, architecture, games, biometrics, e-science, e-learning, medicine, biology, and cultural heritage, among others. Submission Information Full papers Authors must submit full track and full workshop papers to the Editorial Manager for Computers & Graphics: https://www.editorialmanager.com/cag/ Please select VSI: 3DOR 2021 when you reach the "Article Type" step in the submission process. For further information and the appropriate template files please see the C&G guide for authors: https://www.elsevier.com/journals/computers-and-graphics/0097-8493? generatepdf=true For up-to-date submission information, please refer to the workshop webpage at <https://3dor2021.github.io/index.html> https://3dor2021.github.io/index.html