Live e-Lecture by Prof. Pietro Perona: ‘Measuring algorithmic bias in face analysis — towards an experimental approach’, 23rd February 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures

February 10th, 2021 Daniela Lopez de Luise

Dear AI scientist/engineer/student/enthusiast,

 

Prof. Pietro Perona (California Institute of Technology), a prominent AI researcher internationally, will deliver the e-lecture:

‘Measuring algorithmic bias in face analysis — towards an experimental approach’, on Tuesday 23rd February 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/ai-lectures/

You can join for free using the zoom link: https://authgr.zoom.us/j/98481711168

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net , Vision, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST).  Attendance is free.

 

Other upcoming lectures:

  1. Prof. Björn Schuller: ‘There will be Artificial Emotional Intelligence’, 9th March 2021 17:00 – 18:00 CET
  2. Prof. Andreas Geiger, ‘Towards Robust End-to-End Driving’, 23rd March 2021 17:00 – 18:00 CET

More lecture infos in: http://www.i-aida.org/future-lectures/

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

Best regards

Profs. M. Chetouani, N. Sebe, B. O’Sullivan, I. Pitas

AIDA AI Excellence lecture series committee

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JCASE 2021 Conference—Conference Adjustment

February 10th, 2021 Daniela Lopez de Luise

We are writing this email to inform you about the adjusted information JCASE 2021 conference. Our JCASE 2021 will be held in Chengdu, China on June 18-20 2021. This year we will adjust the mode of our academic conferences, to hold two larger joint meetings a year. By making such an adjustment, we hope we could provide you with a more enjoyable meeting experience. More detailed information will be released at the official website: www.ijcase.org.  

 

Please kindly confirm your receipt of this email once you received it. We sincerely appreciate your kind understanding and support for the conference in advance.

 

 

Best regards

DiffCVML2021 – The 6’th International Workshop on Differential Geometry in Computer Vision and Machine Learning

February 10th, 2021 Daniela Lopez de Luise

Call for Papers DiffCVML2021 – The 6'th International Workshop on Differential Geometry in Computer Vision and Machine Learning
June 2021 (virtual) in conjunction with CVPR 2021
Website:  https://diffcvml.org/2021/

We welcome submissions for the 6'th International IEEE CVPR Workshop on Differential Geometry in Computer Vision and Machine Learning, to be held in conjunction with IEEE CVPR 2021 in a virtual format. This workshop will serve as a welcoming forum not only to researchers in the CVPR community but also will also appeal to a broader audience in the statistical shape analysis, machine learning, statistical image analysis, applications of Riemannian geometry in computer vision, graphics, and the statistics and machine learning communities.

PAPER SUBMISSION
We invite original full length contributed papers on topics including deep learning and geometry, Riemannian methods in computer vision, statistical shape analysis, machine learning on nonlinear manifolds, as well as applications to shape detection, tracking and retrieval, topological methods in structure analysis, functional data analysis, medical imaging and analysis, graphics, biometrics, activity recognition, bioinformatics, etc. All papers will be reviewed under a double blind review process. Accepted papers will appear in proceedings and indexed in IEEE Xplore. 
We also invite 4-page extended abstracts outlining late-breaking work and preliminary results including new datasets etc. These will not be included in the proceedings, ie. IEEE Xplore, but will be available on the website for download. Submissions of courtesy posters which have been previously published, including papers accepted to the main CVPR 2021 conference are also allowed. These posters will not be included in the proceedings.
IMPORTANT DATES
* Deadline for Submission – 15'th March 2021
* Notification of Acceptance – 10'th April 2021
* Camera Ready – late April 2021
* Submission will be via CMT https://cmt3.research.microsoft.com/DiffCVML2021

ORGANIZERS
Shantanu Joshi – University of California Los Angeles
Rushil Anirudh – Los Alamos National Laboratory
Radmila Sazdanovic – North Carolina State University

For any additional questions please contact any of us.
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The 12th International Workshop on Optimization and Learning in Multi-Agent Systems

February 10th, 2021 Daniela Lopez de Luise

The 12th Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS'21)

To be held in conjunction with the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), Online, from May 3-7, 2021.

=======================================================

This workshop invites works from different strands of the multi-agent systems community that pertain to the design of algorithms, models, and techniques to deal with multi-agent optimization and learning problems or problems that can be effectively solved by adopting a multi-agent framework. The workshop is of interest both to researchers investigating applications of multi-agent systems to optimization problems in large, complex domains, as well as to those examining optimization and learning problems that arise in systems comprised of many autonomous agents. In so doing, this workshop aims to provide a forum for researchers to discuss common issues that arise in solving optimization and learning problems in different areas, to introduce new application domains for multi-agent optimization techniques, and to elaborate common benchmarks to test solutions. 

OptMAS 2021 website: https://optlearnmas21.github.io/

Workshop submission site: https://easychair.org/conferences/?conf=optlearnmas21

Important dates

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CFP – MDPI Journal of Imaging special issue on “Fine Art Pattern Extraction and Recognition”

February 10th, 2021 Daniela Lopez de Luise

                      Call for Papers – Special Issue
                     of the MDPI Journal of Imaging on
               _____________________________________________

                Fine Art Pattern Extraction and Recognition
               _____________________________________________

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