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:
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
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/
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
2021 ACM-BCB Calling All Authors
March 17th, 2021
Daniela Lopez de Luise ACM-BCB
Conference on Bioinformatics, Computational Biology, and Health Informatics
The 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) is the flagship conference of the ACM SIGBio. ACM-BCB 2021 is the conference's twelfth year, building upon the success of the first eleven meetings in Boston, Niagara Falls, Chicago, Orlando, Washington DC, Newport Beach, Atlanta, Seattle, Washington DC, Niagara Falls, and online (due to COVID-19). Due to COVID-19, the ACM-BCB 2021 conference will be held online, August 1-4, 2021.
The ACM-BCB is a premier dissemination forum for interdisciplinary research linking computer science, mathematics, statistics, biology, bioinformatics, biomedical informatics, and health informatics. The past few decades have seen tremendous growth in the scale and complexity of biological and medical data including recent mainstream recognition of big data challenges. This conference serves to showcase leading-edge research on new technologies and techniques around gathering, processing, analyzing, and modeling of data and information for a variety of scientific, clinical, and healthcare applications, from bench to bedside.
==== Topics of Interest
You are cordially invited to participate in the ACM-BCB 2021 Conference by responding to one or more of the following:
• Sequence Analysis
• Genomic Variation and Disease
• Haplotypes and Population Genomics
• Phylogenetics
• Protein and RNA Analysis, Structure, and Dynamics
• Metagenomics and Algorithms for Microbiomes
• Cancer Genomics
• Pharmacogenomics
• Computational Systems Biology
• Computational Drug Discovery
• Natural Language Processing (NLP) and Text Mining of Data in Bioinformatics, Biomedical, and Health Informatics
• Biological Modeling
• Imaging Genomics and Radiation Genomics
• Computational Phenotyping
• Data Integration, Harmonization, and Ontology
• Deep Learning and AI for Bioinformatics, Medical Informatics, and Health Informatics
• Predictive Modeling, Survival Analysis, and Biomarker Identification
• Automated Diagnosis and Prediction
• Clinical Databases and Information Systems
• Public Health and Population Health Informatics
• Infectious Disease Networks and Computational Epidemiology
• Social Network Analysis for Health Applications
• No-Boundary Thinking in Bioinformatics
Learn More About Participating in 2021 ACM-BCB Conference:
https://mcusercontent.com/a56289c418698825973a992ba/files/8bab86d6-3a3d-4c0e-b34b-9ad39185bf6b/ACM_BCB_2021_CFPapers.03.pdf
==== Sponsored By
ACM
Association for Computing Machinery
https://www.acm.org/
ACM-SIGBio
Bioinformatics, Computational Biology and Biomedical Informatics
http://www.sigbioinformatics.org/
==== Important Dates
(All submissions close 11:59pm Anywhere On Earth [AOE])
Paper submissions due: April 1, 2021
Notifications sent to authors: May 15, 2021
Camera-ready papers due: June 15, 2021
Submission deadline: May 10, 2021
Acceptance notification: June 14, 2021
Workshop proposal deadline: March 31, 2021
Notification of acceptance: April 7, 2021
Workshops will be held on August 1, 2021
Submission deadline (extended): April 16, 2021
Acceptance notification: April 23, 2021
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Proceedings abstract submission deadline: |
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May 14, 2021 |
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Late-break poster abstracts submission open: |
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May 20, 2021 |
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Posters Acceptance notification: |
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May 27, 2021 |
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Camera ready proceedings abstract submission: |
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June 3, 2021 |
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Late-break poster abstracts submission deadline: |
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June 10, 2021 |
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Late-break poster acceptance notification: |
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June 15, 2021 |
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Deadline for uploading electronic poster and video recording: |
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June 18, 2021 |
Submit your paper, present online, enjoy EAI’s fair evaluation and recognition and get the same full publication & indexing | Emerging Technologies of Cybersecurity and Digital Privacy | October 18-19, 2021
March 17th, 2021
Daniela Lopez de Luise |
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2nd ACM Multimedia Grand Challenge on Deep Video Understanding (Oct. 20 – 24, 2021)
March 17th, 2021
Daniela Lopez de Luise Challenge Overview:
Interested participants are invited to apply their approaches and methods on an extended novel Deep Video Understanding (DVU) dataset being made available by the challenge organizers. This includes the 10 movies from the 2020 version of this challenge (HLVU) with a Creative Commons license, and has been supplemented with the Land Girls TV series licensed for us in this challenge by the BBC, and additional Creative Commons license movies added for the 2021 challenge. The dataset will be annotated by human assessors and final ground truth, both at the overall movie level (Ontology of relations, entities, actions & events, Knowledge Graph, and names and images of all main characters), and the individual scene level (Ontology of locations, people/entities, attributes for these and interactions between) will be provided for 50% of the dataset to participating researchers for training and development of their systems. The organizers will support evaluation and scoring for a hybrid of main query types, at the overall movie level and at the individual scene level distributed with the dataset (please refer to the dataset webpage for more details):
Example Question types at Overall Movie Level:
1- Multiple choice question answering on part of Knowledge Graph for selected movies.
2- Possible path analysis between persons / entities of interest in a Knowledge Graph extracted from selected movies.
3- Fill in the Graph Space – Given a partial graph, systems will be asked to fill in the graph space.
Example Question types at Individual Scene Level:
1- Find the next or previous interaction, given two people, a specific scene, and the interaction between them.
2- Find a unique scene given a set of interactions and a scene list.
3- Fill in the Graph Space – Given a partial graph for a scene, systems will be asked to fill in the graph space.
4- Match between selected scenes and set of scene descriptions written in natural language
Challenge Website:
https://sites.google.com/view/dvuchallenge2021/home/
Important Dates:
Complete HLVU annotations for development and testing data ,used in 2020, available: drive.google.com/drive/u/0/folders/1q1Ca0aFJrF9tB8hsw-mrI9d4tzy5wlPZ
DVU development data release: April 19, 2021
Testing dataset release : May 1, 2021
Testing queries release : June 6, 2021
Run submissions due to organizers: July 11, 2021
Paper submission deadline: July 11, 2021
Results released back to participants: TBD
Notification to authors: TBD
camera-ready submission: TBD
ACM Multimedia dates: October 20 – 24, 2021
Tha DVU2021 Organizers
Machine Learning in Communication Networks
March 16th, 2021
Daniela Lopez de Luise As a leading expert in your field, we would like you to participate by submitting your research. This is a great opportunity to have your research published in Frontiers in Computer Science. Led by Professor Kaleem Siddiqi of McGill University, this multidisciplinary journal publishes work at the forefront of fundamental and applied computational sciences.
Dr. Vaneet Aggarwal, Purdue University, West Lafayette, United States
Dr. Tian Lan, George Washington University, Washington, D.C., United States
Dr. Dongxiao Yu, Shandong University, Jinan, China








