Call for Papers (March 13) – Computer Vision for Fashion, Art, and Design @ CVPR 2023

Title Call for Papers (March 13) – Computer Vision for Fashion, Art, and Design @ CVPR 2023

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6th Workshop on Computer Vision for Fashion, Art, and Design at CVPR 2022

June 18, 2023


Background

Creative domains, such as fashion, art and design, are a significant part of modern society, and much effort centers around the creation, consumption and analytics of creative visual content. In recent years, there has been an explosion of research in applying machine learning and computer vision algorithms to various aspects of the creative domains, including generating, analyzing and processing visual content.

The Computer Vision for Fashion, Art, and Design (CVFAD) workshop, in its 6th edition, aims to build on the success of the previous versions, and on the increased interest witnessed over time, to create a space for collaboration between artists, professionals in creative industries and computer vision scientists.

Call for submissions

The workshop will provide five keynotes with diverse backgrounds to encourage interdisciplinary discussions and idea sharing, as well as a paper track.

For the paper track, we solicit papers on developing and applying computer vision techniques that are valuable in the creative domains, with an emphasis on fashion, art and design. These submissions will undergo a peer-review process. To provide rich opportunities to share opinions and experience in such an emerging field, we will accept paper submissions on established and novel ideas, as well as workshop challenges. Topics of papers include but are not limited to:

  • Style and product recommendation

  • Cross-domain visual search for fashion

  • Visual size and fit advice

  • Virtual try-on/wardrobe

  • Body Shape Prediction

  • Automatic article tagging

  • Trend analysis and forecasting

  • Efficient methods for fashion search

  • Fashion analysis in videos

  • Design with humans in the loop

  • Creative Visual Content Generation

  • Clothing landmark estimation

  • Style propagation modeling

Accepted papers will be part of the workshop proceedings and be displayed on our website. The top papers will also be invited to present orally during the workshop. Submitted papers should follow the CVPR 2023 paper template. 

The page limit is less than four pages, excluding references. Submitted work can be shorter versions (extended abstract) of work presented at the main conference or work in progress which may (or may not) be submitted to a different conference at a later date. The accepted papers will be linked at the workshop webpage. Papers will be peer reviewed under double-blind policy, and must be submitted online through the CMT submission system at
https://cmt3.research.microsoft.com/CVFAD2023/

Authors can choose to include their paper as part of the CVPR Workshop Proceedings if the paper is not the shorter version of an accepted work in the CVPR 2023 proceedings. Papers which exceed the page limit (four pages excluding references) will result in rejection.

Important Dates:

  • Paper submission deadline: March 13th (11:59PM PST)

  • Notification to authors: March 31st (11:59PM PST)

  • Camera-ready deadline: April 8th (11:59PM PST)

AITP 2023 – Call for Contributions

 

CALL FOR CONTRIBUTIONS

Artificial Intelligence and Theorem Proving,
AITP 2023
September 3-8, 2023, Aussois, France

http://aitp-conference.org/2023

Deadline: May 5, 2023
https://easychair.org/conferences/?conf=aitp2023

BACKGROUND
Large-scale semantic processing and strong computer assistance of
mathematics and science is our inevitable future. New combinations of
AI and reasoning methods and tools deployed over large mathematical
and scientific corpora will be instrumental to this task.  The AITP
conference is the forum for discussing how to get there as soon as
possible, and the force driving the progress towards that.

TOPICS

– AI, machine learning and big-data methods in theorem proving and mathematics.
– Collaboration between automated and interactive theorem proving, in
  particular their AI/ML aspects.
– Common-sense reasoning and reasoning in science, relations to general AI.
– Alignment and joint processing of formal, semi-formal, and informal
   libraries, Formal Abstracts.
– Methods for large-scale computer understanding of mathematics and science.
– Combinations of linguistic/learning-based and semantic/reasoning methods
– Formal verification of AI and machine learning algorithms, explainable AI .
 
SESSIONS

There will be several focused sessions on AI for ATP, ITP, mathematics,
relations to general AI, Formal Abstracts, linguistic processing of
mathematics/science, modern AI and big-data methods, and several
sessions with contributed talks. The focused sessions will be based on
invited talks and discussion oriented.

CONFIRMED PARTICIPANTS/SPEAKERS (TBC)

João Araújo, Universidade Nova de Lisboa
Michael R. Douglas, Stony Brook University
Thibault Gauthier, Czech Technical University in Prague
Sean Holden, University of Cambridge
Mikoláš Janota, University of Lisbon
Cezary Kaliszyk, University of Innsbruck
Konstantin Korovin, The University of Manchester
Tomáš Mikolov, Czech Technical University in Prague
Miroslav Olsak, IHES
Michael Rawson, TU Wien, Austria
Stephan Schulz, DHBW Stuttgart
Martin Suda, Czech Technical University in Prague
Christian Szegedy, Google Research
Josef Urban, Czech Technical University in Prague
Zsolt Zombori, Alfréd Rényi Institute of Mathematics

CONTRIBUTED TALKS
We solicit contributed talks. Selection of those will be based on
extended abstracts/short papers of 2 pages formatted with easychair.cls.
Submission is via EasyChair (https://easychair.org/conferences/?conf=aitp2023).
The extended abstracts are considered non-archival.

DATES
Submission deadline: May 5, 2023
Author notification: June 20, 2023
Conference registration: TBA
Camera-ready versions: TBA
Conference: September 3-8, 2023

SPECIAL AITP TRACK AT TABLEAUX'23

There will be a special AITP track at TABLEAUX'23
(http://tableaux2023.tableaux-ar.org/), welcoming full papers.

PROGRAM COMMITTEE (TBC)

Jasmin Christian Blanchette, INRIA Nancy
Michael R. Douglas (co-chair), Stony Brook University
Ulrich Furbach, University of Koblenz
Thibault Gauthier, Czech Technical University in Prague
Thomas C. Hales (co-chair), University of Pittsburgh
Sean Holden, University of Cambridge
Mikoláš Janota, University of Lisbon
Cezary Kaliszyk (co-chair), University of Innsbruck
Michael Kinyon, University of Denver
Konstantin Korovin, The University of Manchester
Adam Pease, Articulate Software
Michael Rawson, TU Wien
Stephan Schulz (co-chair), DHBW Stuttgart
Christian Szegedy, Google Research
Josef Urban (co-chair), Czech Technical University in Prague
Sean Welleck, University of Washington
Zsolt Zombori, Alfréd Rényi Institute of Mathematics

LOCATION AND PRICE

The conference will take place from September 3 to September 8 2023
in the CNRS Paul-Langevin Conference Center
(https://www.caes.cnrs.fr/sejours/centre-paul-langevin/) located in
the mountain village of Aussois in Savoy.  Dominated by the “Dent
Parrachée”, one of the highest peaks of La Vanoise, Aussois is located
on a sunny plateau at 1500 m altitude, offering a magnificent panorama
of the surrounding mountains and a direct access to the park of La
Vanoise in summer and downhill ski slopes or cross country slopes in
winter. The total price for accommodation, food and registration for
the five days will be around 600 EUR.

ARRIVAL/DEPARTURE
Aussois is less than 2h from the airports of Lyon, Geneve, Chambery,
Annecy, Grenoble and Turin. There are trains and buses from these
airports. Aussois is 7km from the Modane TGV station with direct
trains from/to Paris. We will organize a bus for the participants from
there to Aussois. Further buses to these airports / station can be
found at http://www.altibus.com/ .

ORGANIZERS
Cezary Kaliszyk and Josef Urban

IEEE R9: IoT and AI Challenge

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Registration link: Https://bit.ly/R9CHALLENGE


Attachments:

IoTAI SHORT PPT


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