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<pre wrap="">ECCV 2018 - 6th International Workshop on Assistive Computer Vision and Robotics (ACVR 2018)
Munich - Germany - 9th September 2018
In conjunction with ECCV 2018 - European Conference on Computer Vision
Web: <a class="moz-txt-link-freetext" href="http://iplab.dmi.unict.it/acvr2018/">http://iplab.dmi.unict.it/acvr2018/</a>
Contact: <a class="moz-txt-link-abbreviated" href="mailto:ACVR.workshop@gmail.com">ACVR.workshop@gmail.com</a>
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IMPORTANT DATES
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Full Paper Submission: June 30th, 2018
Notification of Acceptance: July 31th, 2018
Camera-Ready Paper Due: August 15th, 2018
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CALL FOR PAPERS
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In the last decades, there has been a tremendous increase in demand for assistive technologies useful to overcome functional limitations of individuals. Novel tools have been successfully commercialised bringing the Computer Vision and Robotics research from theory to applications and then to market. The rapid progress in the development of integrated micro-mechatronic and computer vision has further boosted this process. The interest in this applied field is increasing due to the possibility to exploit advanced technologies coming from the results of traditional problems in Computer Vision (such as face analysis, tracking, detection and recognition, human behaviour analysis). However, many problems remain open especially as regards environment perception and interaction of these technological tools with people. To address the open challenges, it is becoming increasingly common the use of deep learning approaches that have been exploited either to improve performance in the computer vision and robotics tasks, i.e. by inheriting the knowledge from the theoretic and methodological literature, or to make significant change to the assistive framework itself. In addition to deep learning, new learning paradigms (e.g., Generative Adversarial Networks) are radically changing this strategic research sector.
The main scope of ACVR 2018 is then to bring together researchers from the diverse fields of engineering, computer science, social and bio-medical science who investigate in the context of Computer Vision and Robotics in order to discuss the current and next generation of Assistive Technologies. The researchers will present their latest progress and discuss novel ideas in the field. Besides the technologies used, emphasis will be given to the precise problem definition, the available benchmark databases, the need of evaluation protocols and procedures in the context of Assistive Technologies.
Research papers are solicited in, but not limited to, the following areas topics:
Augmentative and Alternative Communication
Human - Robot Interaction
Mobility Aids
Rehabilitation Aids
Home Healthcare
Technology for Cognition
Automatic Emotional Hearing and Understanding
Activity Monitoring Systems
Manipulation Aids
Scene Understanding
Life-logging
Visual Attention and Visual Saliency
Smart Environments
Safety and Security
Ambient Assistive Living
Privacy preserving systems
Robot assistants
Quality of Life Technologies
Navigation Systems
Sensory Substitution
Mobile and Wearable Systems
Applications for the Visually Impaired
Sign language recognition and applications for hearing impaired
Applications for the Ageing Society
Datasets and Evaluation Procedures
Personalised Monitoring
Video summarization
Egocentric and First-Person Vision
Applications to improve health and wellbeing of children and elderly
Food Understanding
Autonomous Driving
Driver Assistance Systems
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INVITED SPEAKERS
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Tae-Kyun Kim, Imperial College of London, United Kingdom
Home Page: <a class="moz-txt-link-freetext" href="https://www.imperial.ac.uk/people/tk.kim">https://www.imperial.ac.uk/people/tk.kim</a>
Talk Title: 3D Hand Pose Estimation for Novel Man-Machine Interface
Fabio Galasso, OSRAM GmbH, Germany
Home Page: <a class="moz-txt-link-freetext" href="http://fabiogalasso.org">http://fabiogalasso.org</a>
Talk Title: Computer Vision and Smart Lighting relevant to Assistive Technologies
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SUBMISSION AND REVISION
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All submissions will be handled electronically via the conference’s CMT Website: <a class="moz-txt-link-freetext" href="https://cmt3.research.microsoft.com/ACVR2018">https://cmt3.research.microsoft.com/ACVR2018</a>.
The format for paper submission is the same as the ECCV 2018 main conference. Please refer to ECCV 2018 author guidelines
See the instructions and guidelines at the following page: <a class="moz-txt-link-freetext" href="http://iplab.dmi.unict.it/acvr2018/submission">http://iplab.dmi.unict.it/acvr2018/submission</a>
ACVR reviewing will be double-blind. Each submission will be reviewed by at least three reviewers for originality, significance, clarity, soundness, relevance and technical contents.
The paper length should match that intended for final publication. Papers are limited to 14 pages (excluding references), including figures and tables. Additional pages must contain only cited references.
Papers that are not blind, or do not use the template, or have more than 14 pages (excluding references) will be rejected without review.
Authors may optionally submit additional material that could not be included in the main paper due to constraints of format (e.g., a video), space (e.g., a proof of a theorem or an extra figure or table) or anonymity
Submission Deadline: June 30th, 2018
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PROCEEDING AND JOURNAL SPECIAL ISSUE
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Accepted papers will be published in the (post-conference) proceedings of the workshops.
Authors are invited to submit an extended version (at least 40+% different than the workshop versions) of their papers to the "Special Issue on Learning and Recognition for Assisted Computer Vision" of the Pattern Recognition Letters Journal (deadline 30 June 2018)
Details about the submission to the special issue are available at: <a class="moz-txt-link-freetext" href="http://www.dmi.unict.it/farinella/CFP_PRL_LR4ACV.pdf">http://www.dmi.unict.it/farinella/CFP_PRL_LR4ACV.pdf</a>
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WORKSHOP CHAIRS
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Giovanni Maria Farinella, University of Catania, IT
Marco Leo, CNR-Institute of Applied Sciences and Intelligent Systems, IT
Gerard G. Medioni, University of Southern California, US
Mohan Trivedi, University of California San Diego, US
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ENDORSERS
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CVPL - Associazione Italiana in Computer Vision, Pattern Recognition and Machine Learning
<a class="moz-txt-link-freetext" href="http://www.cvpl.it/">http://www.cvpl.it/</a>
ORCAM
<a class="moz-txt-link-freetext" href="http://www.orcam.com/">http://www.orcam.com/</a>
STMicroelectronics
<a class="moz-txt-link-freetext" href="http://www.st.com/">http://www.st.com/</a>
Toshiba Research Europe Ltd
<a class="moz-txt-link-freetext" href="http://www.toshiba.eu/eu/Toshiba-Research-Europe/">http://www.toshiba.eu/eu/Toshiba-Research-Europe/</a>
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CONTACTS
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Email: <a class="moz-txt-link-abbreviated" href="mailto:ACVR.workshop@gmail.com">ACVR.workshop@gmail.com</a>
Website: <a class="moz-txt-link-freetext" href="http://iplab.dmi.unict.it/acvr2018">http://iplab.dmi.unict.it/acvr2018</a>
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