[visionlist] Last CfPs: ICCV/ACVR 2019 Workshop on Assistive Computer Vision and Robotics

Marco Leo marco.leo at cnr.it
Wed Jul 10 04:22:37 -04 2019

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ICCV 2019 - 7th International Workshop on Assistive Computer Vision and 
Robotics (ACVR 2019)

Seoul- Korea - October 28, 2019

In conjunction with ICCV 2019 - International Conference on Computer Vision

  Workshop Website:http://iplab.dmi.unict.it/acvr2019/ 

Contact: ACVR.workshop at gmail.com




Full Paper Submission: *July 15th, 2019** (No further extension will be 

Notification of Acceptance: August 9th, 2019

Camera-Ready Paper Due: August 16th, 2019

*_In case of rejection from ICCV, authors can submit their work to the 
ACVR workshop by July 26th, 2019. Authors should address all ICCV 
reviewers' comments in the submitted paper and submit the ICCV reviews 
as supplementary material. Authors should contact 
ACVR.workshop at gmail.com to perform the submission._




All accepted papers will appear in the ICCV workshops proceedings and 
IEEE Xplore Digital Library.

Papers will also be in the Computer Vision Foundation (CVF) open access 




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 a 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 2019 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 for 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


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 the health and wellbeing of children and elderly

Food Understanding

Autonomous Driving

Driver Assistance Systems

Brain-Computer Interfaces (BCI) for Assistive Systems

"Trust" and Assistive Systems

Mobility in "Smart" cities

Multi-modal Human-Centered Systems




*/Dima Damen - /*Associate Professor (Reader) at the Department of 
Computer Science, Visual Information Laboratory, University of Bristol.
Web page: http://people.cs.bris.ac.uk/~damen/

*/F/*/*iora Pirri*/ - Professor of Computer Science at Dipartimento di 
Ingegneria Informatica, Automatica e Gestionale, Sapienza, Università di 
Web page: https://www.dis.uniroma1.it/~pirri/


All submissions will be handled electronically via the conference’s CMT 
Website: https://cmt3.research.microsoft.com/ACVR2019
The format for paper submission is the same as the ICCV 2019 main 
conference. Please refer to ICCV 2019 author guidelines available at 
Specific instructions and guidelines for the ACVR workshop are available 
on the workshop website.
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 eight pages, including figures and tables, in the 
ICCV style. Additional pages containing only cited references are allowed.
Papers that are not properly anonymized, or do not use the template, or 
have more than eight pages (excluding references) will be rejected 
without review.
Authors may optionally submit additional material that was ready at the 
time of paper submission but could not be included due to constraints of 
format or space.
The authors should refer to the contents of the supplementary material 
appropriately in the paper. Reviewers will be encouraged to look at it, 
but are not obligated to do so.
Supplementary material may include videos, proofs, additional figures or 
tables, more detailed analysis of experiments presented in the paper.
All supplementary material must be self-contained and zipped into a 
single file.



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



CVPL - Associazione Italiana in Computer Vision, Pattern Recognition and 
Machine Learning


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