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ACVR 2019 : Seventh International Workshop on Assistive Computer Vision and Robotics


When Oct 28, 2019 - Oct 28, 2019
Where Seoul (Korea)
Submission Deadline Jul 15, 2019
Notification Due Aug 9, 2019
Final Version Due Aug 16, 2019
Categories    assistive technology   computer vision   robotics   machine learning

Call For Papers


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

Seoul- Korea - Monday, Oct. 28, 2019

In conjunction with ICCV 2019 - International Conference on Computer Vision

Workshop Website:





Full Paper Submission*: July 15th, 2019

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 to perform the submission.




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 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:

Fiora Pirri

Professor of Computer Science at Dipartimento di Ingegneria Informatica, Automatica e Gestionale, Sapienza, Università di Roma

Web page:




All accepted papers will appear in the ICCV workshops proceedings and IEE Xplore. These papers will also be in the Computer Vision Foundation (CVF) open access archive.

All submissions will be handled electronically via the conference’s CMT Website:

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.

he 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.

Submission Deadline: June 15th, 2019




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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