========================================================= 13th EG Workshop on 3D Object Retrieval 2020 (3DOR'20) ========================================================= in Cooperation with Eurographics and Elsevier September 4-5, 2020 Graz University of Technology, Austria https://workshop.cgv.tugraz.at/3dor2020 ========================================================= Call for Short Papers --------------------------------------------------------- Deadline extension until July 10 for Short Papers --------------------------------------------------------- Important Dates: Short Paper Submissions for EG Digital Library (8 pages) -------------------------------------------------------------- July 10: Short paper submission (extended) July 30: Short paper notification Short papers will follow a one-stage review process and will appear in the Eurographics Digital Library. For information how to submit, please see https://workshop.cgv.tugraz.at/3dor2020/submission.php 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 2020 will be the 13th 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 2020 is the 15th edition of the contest. As in previous years, it is organized in conjunction with the Eurographics Workshop on 3D Object Retrieval. 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. 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. Organization ------------ Workshop Chairs • Tobias Schreck, Graz University of Technology, Austria • Theoharis Theoharis, NTNU Trondheim, Norway, and NKUA, Greece Contact: 3dor2020-eventchairs(a)cgv.tugraz.at Program Co-Chairs • Ioannis Pratikakis, Democritus University of Thrace, Greece • Michela Spagnuolo, CNR Imati, Italy • Remco C. Veltkamp, Utrecht University, Netherlands Contact: 3dor2020-programchairs(a)cgv.tugraz.at International Program Committee • Mirela Ben-Chen (Technion) • Stefano Berretti (University of Florence) • Silvia Biasotti (IMATI-CNR) • Michael Bronstein (Imperial College London) • Benjamin Bustos (University of Chile) • Umberto Castellani (University of Verona) • Mohamed Daoudi (Télécom Lille 1/Institut Mines-Télécom) • Bianca Falcidieno (IMATI-CNR) • Dieter Fellner (TU Darmstadt, Fraunhofer IGD, TU Graz) • Ioannis Fudos (University of Ioannina) • Yue Gao (Tsinghua University) • Andrea Giachetti (University of Verona) • Daniela Giorgi (ISTI-CNR) • Afzal Godil (NIST) • A. Ben Hamza (Concordia University) • Kevin Kai Xu (University of Defense Technology) • Evangelos Kalogerakis (University of Massachusetts at Amherst) • Ron Kimmel (Technion) • Anestis Koutsoudis (ATHENA RC) • Hamid Laga (Murdoch University) • Guillaume Lavoué (Université de Lyon LIRIS) • Zhouhui Lian (Peking University) • Lars Linsen (University of Münster) • Or Litany (Stanford University) • Georgios Papaioannou (AUEB) • Raif M. Rustamov (AT&T Labs Research) • Nickolas S. Sapidis (University of Western Macedonia) • Ivan Sipiran (Pontificia Universidad Católic del Perú) • Hedi Tabia (ETIS-ENSEA) • Jean-Philippe Vandeborre (Télécom Lille 1/Institut Mines-Télécom) • Naoufel Werghi (Khalifa University)