VISMAC2020 Phd summer school – REGISTRATION DEADLINE APPROACHING [25 July 2021]

July 20th, 2021 Daniela Lopez de Luise
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V I S M A C (VISione delle MACchine)
[in English, “Machine Vision”]

International Summer School
21-24 September 2021, Palermo, Italy

https://math.unipa.it/vismac2020
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=== Aim & Scope ===

The international summer school VISMAC “VISione delle MACchine” (in
English, “Machine Vision”) is organized every two years by the
“Associazione Italiana per la ricerca in Computer Vision, Pattern
recognition e machine Learning” (CVPL – ex-GIRPR) affiliated to
International Association for Pattern Recognition (IAPR). It represents
a stimulating opportunity for doctoral students, young researchers from
universities, research institutions and industry. The primary objective
of the Summer School is to provide a common scientific and cultural
background on the subjects of computer vision and pattern recognition.

This edition of VISMAC will mainly focus on four renowned research
topics: Bio-imaging, Automotive, Cultural Heritage, Image forensics.

The school will be from the 21st to the 24th of September 2021 as a full
online event through Microsoft Teams. At the conclusion of class,
students will be required to perform successfully an online exam to
obtain a final certification.

=== List of Speakers ===

Bio-imaging
– Carlo Sansone, UNINA Federico II
– Elena Casiraghi, UNIMI
– Paolo Soda, UCBM
– Francesco Tortorella, UNISA
– Joseph Stancanello, Elekta

Automotive
– Sergio Saponara, UNIPI
– Roberto Vezzani, UNIMORE
– Alessandro Rizzi, UNIMI
– Alberto Broggi, VISLAB/AMBARELLA

Cultural Heritage
– Gabriele Guidi, POLIMI
– Carlo Colombo, UNIFI
– Andrea Fusiello, UNIUD
– Francesca Odone, UNIGE
– Fabio Remondino, FBK Trento
– Alessandro Dal Colle, Klain Robotics

Image forensics
– Francesco De Natale, UNITN
– Gian Luca Marcialis, UNICA
– Luisa Verdoliva, UNINA Federico II
– Jerian Martino, Amped Software

=== Program ===

Final program with daytime schedule is available here:
https://math.unipa.it/vismac2020/markdown/

Book of abstracts can be downloaded here:
https://math.unipa.it/vismac2020/resources/VISMAC2020-2021-BoA-Onine.pdf

=== Registration ===

School registrations are limited to forty participants, on a FIFS basis,
the registration fee is 100 Euro.

**Registration deadline is 25 July 2021**

Accepted students can submit a poster to present their research
activity. The best poster selected by the school committee will receive
a prize sponsored by CVPL.

Registration form and info are available here:
https://math.unipa.it/vismac2020/markdown-2/

=== Scientific Committee ===

– Domenico Tegolo, UNIPA
– Cesare Valenti, UNIPA
– Roberto Pirrone, UNIPA
– Filippo Stanco, UNICT

=== Local Committee ===

– Marco E. Tabacchi, UNIPA
– Fabio Bellavia, UNIPA

=== Sponsors ===

– CVPL (ex-GIRPR) – Associazione Italiana per la ricerca in Computer
Vision, Pattern recognition e machine Learning
– Universita' degli Studi di Palermo
– Universita' degli Studi di Catania
– CITC – Centro Interdipartimentale di Tecnologie della Conoscenza,
Universita' degli Studi di Palermo
– DMI – Dipartimento di Matematica e Informatica, Universita' degli
Studi di Palermo
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Contacts
https://math.unipa.it/vismac2020
vismac2020@gmail.com

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IROS 2021 Workshop on Building and Evaluating Ethical Robotic Systems (ERS 2021)

July 20th, 2021 Daniela Lopez de Luise
Call For Papers: IROS 2021 Workshop on Building and Evaluating Ethical Robotic Systems (ERS 2021)

Website: https://ers-workshop.com/
Submission Deadline: August 6, 2021 (AoE)
Submission Link: https://easychair.org/conferences/?conf=ers2021
Contact: ers.workshop@gmail.com

===Workshop Overview===
The deployment of robotic systems has been accelerating in many domains that have a substantial impact on society. For example, robotic systems have been proposed for applications that range from elder care and autonomous driving to nuclear energy production and military technology. However, while our ability to build robotic systems that integrate into our daily lives has expanded over the years, it has outstripped our ability to build robotic systems that can account for the large number of different ethical considerations that may arise during operation. This workshop therefore focuses on building and evaluating ethical robotic systems at every level of the robotics stack while broadening the scope of areas that should be considered by researchers, such as how users can interact with new and existing technology or how legislators can develop actionable standards and regulations.

ERS 2021 aims to bring together researchers from academia and industry to discuss key challenges, learn from real-world case studies, identify potential research avenues, explore recent technical advances, present novel data sets, and survey existing work related to ethical robotic systems. Given this aim, we invite contributions that draw from a range of methods in artificial intelligence and robotics, such as planning, reinforcement learning, machine learning, deep learning, human-robot interaction, safety, explainability, transparency, formal verification, social preferences, and human factors. Most importantly, we welcome researchers from disciplines beyond robotics, including philosophy, psychology, sociology, and law, in order to represent diverse perspectives on building and evaluating ethical robotic systems.

Relevant research topics include but are not limited to:
– Value alignment in robotic systems
– Cultural, political, and societal impacts of robotics
– Methods for analyzing the ethical implications of autonomous systems
– Moral reasoning in autonomous systems
– Safe, transparent, explainable, or interpretable AI systems
– Ethical compliance in robotic systems
– Ethically sensitive design and implementation of autonomous systems
– Human-compatible or beneficial AI systems
– Law, regulation, and governance of robotics
– Challenges of building and evaluating ethical robotic systems
– Ethical models and algorithms in robotic systems
– Impacts of robotics on vulnerable groups
– Novel data sets or test suites for ethical robotic systems

===Workshop Format===
This is a virtual IROS workshop that will include invited speakers, oral presentations of accepted papers, poster sessions of accepted papers, discussion sessions, and moderated panels.

===Submission Guidelines===
We encourage a range of submission types to facilitate broad participation:
– Highlight Paper (up to 2 pages)
– Short Technical Paper (up to 4 pages)
– Full Technical Paper (up to 6 pages)
– Position Paper (up to 4 pages)
– Case Study Paper (up to 6 pages)
– Survey Paper (up to 8 pages)

Best Paper Award: A paper will be awarded the ERS 2021 Best Paper Award based on a vote among the organizers and the program committee of the workshop. The authors of the best paper will receive a cash prize and a printed certificate at the end of the workshop.

Additional Details: Papers published, accepted, or under review at other conferences can be submitted and presented at the workshop subject to the conference guidelines. There is no page limit for references and supplementary materials. Submissions should be in PDF and follow the IROS 2021 format guidelines. All accepted papers will be included in an electronic, non-archival proceedings.

===Important Dates===
– Paper Submission: August 6, 2021 (AoE)
– Author Notification: August 20, 2021
– Camera-Ready Submission: TBD

===Invited Speakers===
– Ron Arkin, Georgia Tech
– Francesca Rossi, IBM
– Matthias Scheutz, Tufts University
– Ben Kuipers, University of Michigan

– Bertram Malle, Brown University

===Organizers===
– Paul Bello, Naval Research Laboratory
– Louise Dennis, University of Manchester
– Dylan Hadfield-Menell, MIT
– Samer Nashed, UMass Amherst (Co-Chair)
– Justin Svegliato, UMass Amherst (Co-Chair)
– Alan Winfield, UWE Bristol

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Special Issue “Computer Vision for Surveillance”

July 20th, 2021 Daniela Lopez de Luise

 

Journal Electronics (IF: 2.397) is currently running a Special Issue entitled “Computer Vision for Surveillance“. We are serving as Guest Editors for this issue. Given the depth of your expertise in this field, we would like to cordially invite you to contribute an Article/Review to the Special Issue.

 

The purpose of this Special Issue is to provide an academic platform to publish high-quality research papers on the applications of innovative AI algorithms to video surveillance. Please follow the link to the Special Issue website at:

https://www.mdpi.com/journal/electronics/special_issues/Violence_Detection

 

The submission deadline is 30 August 2021. You may submit your manuscript earlier as submissions will be immediately processed for peer review. The accepted papers will be published continuously in this Special Issue as soon as accepted, irrespective of the submission deadline, and will be listed together on the Special Issue website.

 

For further details on the submission process, please see the instructions for authors at the journal website (http://www.mdpi.com/journal/electronics/instructions).

 

We look forward to hearing from you. Your contribution will be highly appreciated.

 

Oscar Deniz Suarez

 

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46th annual IEEE Conference on Local Computer Networks (Demo Session)

July 20th, 2021 Daniela Lopez de Luise
October 4-7, 2021
http://www.ieeelcn.org

Consider a virtual demo as an opportunity to showcase your work in a way that was not
possible in physical meetings or would have required to travel with a lot of gear.
We will do our best to accommodate demo author needs to present and discuss the demo virtually.

## Scope

IEEE LCN 2021 will feature a demo session with the aim of providing
demonstrations that validate important research issues and/or show innovative
prototypes. Authors are invited to submit technical demonstrations (no more than 3 pages) showing
innovative and original research. The authors are encouraged to highlight the research component
of the demo and explicitly mention the novelty of the showcased technology/
solution. The proposal should include one page that describes
what conference participants will be able to see or experience during the
demonstration.

IEEE LCN is looking for demonstrations in all topics covered by the main
conference and/or the symposium held in conjunction with LCN 2021. Research
prototypes as well as commercial products are welcome.

## Demo Submission

Proposals (no more than 3 pages) must be submitted via EDAS to the LCN Demo Track:
https://edas.info/newPaper.php?c(077&track 7632

Demonstrations will be selected based on their merits and expected interest
from the LCN audience. All demo proposals will be reviewed by the members of the Demo Board via an
EDAS score sheet. The scores will be provided to the authors along with the
notification.

## Virtual Demo Presentation

Demo presentations will be organised as parallel dedicated virtual rooms for each demo similar to a face-to-face demo session. Demo presenters will have the opportunity to perform live demos while also answering questions from the audience. In addition, authors of accepted demos will also be asked to record a video to best showcase the demo which will be available for attendees during the conference.

* A best demo award will be awarded to the demo with the most votes from the audience.

## Important Dates

Demo Submission: Aug 16, 2021
Demo Acceptance: Sep 6, 2021
Demo Camera Ready: Sep 20, 2021

## Registration for Demos

For conference registration, a demo is not regarded as a paper, i.e.,

* demo presenters with no accepted conference or symposium papers must select
“non-author registration” when registering for the conference

* demo presenters with accepted LCN or symposium papers incur no extra charge
for a demo. The conference registration will cover their demo.

Please feel free to contact the demo chair if you have any questions regarding the demo content or setup.
Demo Chair: Kanchana Thilakarathna <kanchana.thilakarathna@sydney.edu.au>

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ICCV 2021 :: CDpath workshop :: Call for Papers :: deadline July 25

July 20th, 2021 Daniela Lopez de Luise
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                                                            CDPath workshop @  ICCV 2021 :: Call for Papers
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About the Workshop
The ICCV 2021 workshop on Computational Challenges in Digital Pathology (CDpath) aims at providing a platform for scientific discussion and presentation of ideas on computational pathology, introducing the challenges of the field. This workshop will focus on the integration of computer vision and artificial intelligence into the digital pathology workflow. 

CDpath is jointly organised by INESCTEC (Portugal), IMP DIagnostics (Portugal), Radboudumc (The Netherlands), Karolinska Institutet (Sweden) and Google Health (USA).
For more information please visit http://vcmi.inesctec.pt/cdpath_iccv

Important Dates
Submission deadline: July 25, 2021
Author notification: August 12, 2021
Camera-ready deadline: August 16, 2021
CDpath workshop: October 11, 2021

Keynote Speakers
Anne Martel, Sunnybrook Research Institute | University of Toronto | Pathcore Inc., Canada
Martin Stumpe, Tempus Inc., USA

Interest Topics
The CDpath workshop welcomes works that focus on the computational pathology challenges, such as, but not limited to:

  • Semi/unsupervised learning methodologies in computational pathology
  • Detection, classification and segmentation of tissue structures
  • Disease diagnosis, grading and prognosis
  • Treatment response prediction
  • Immunohistochemistry scoring
  • Staining quality assessment and standardization
  • Detection of tissue biomarkers with predictive/prognostic value
  • Whole-slide image registration
  •  Explainable AI for computational pathology
  • Scalable techniques for whole-slide image processing
  • Applications for computational pathology in the clinic

Paper submission
Submitted manuscripts should be anonymised and formatted according to the ICCV style, with a maximum of 8 pages, including images and tables and excluding cited references.
Accepted papers will be published in IEEE Xplore, in conjunction with ICCV 2021 proceedings.

The best paper(s) will be awarded with a monetary prize (T.B.D).

Contacts
Jaime S. Cardoso (jaime.cardoso@inesctec.pt) || Sara P. Oliveira (sara.i.oliveira@inesctec.pt)

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