[visionlist] [CFP] International Workshop on "Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)" at ICIAP 2021

[Federico Becattini]

********************************

Call for Papers

“Towards a Complete Analysis of People: From Face and Body to Clothes
(T-CAP)”

International Workshop at ICIAP 2021
https://sites.google.com/view/t-cap2021

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=== SUBMISSIONS ARE OPEN!!! ====

Two types of paper are welcome::

----------------------------

- Regular Papers -

(novel contributions not published previously)

----------------------------

- Presentation Papers -

(papers that have been already accepted for publication previously)

----------------------------



Apologies for multiple posting

Please distribute this call to interested parties



AIMS AND SCOPE

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

Human-centred data are extremely widespread and have been intensely
investigated by researchers belonging to even very different fields,
including Computer Vision, Machine Learning, and Artificial Intelligence.
These research efforts are motivated by the several highly-informative
aspects of humans that can be investigated, ranging from corporal elements
(e.g. bodies, faces, hands, anthropometric measurements) to emotions and
outward appearance (e.g. human garments and accessories).

The huge amount and the extreme variety of this kind of data make the
analysis and the use of learning approaches extremely challenging. In this
context, several interesting problems can be addressed, such as the
reliable detection and tracking of people, the estimation of the body pose,
the development of new human-computer interaction paradigms based on
expression and sentiment analysis.

Furthermore, considering the crucial impact of human-centred technologies
in many industrial application domains, the demand for accurate models able
also to run on mobile and embedded solutions is constantly increasing. For
instance, the analysis and manipulation of garments and accessories worn by
people can play a crucial role in the fashion business. Also, the human
pose estimation can be used to monitor and guarantee the safety between
workers and industrial robotic arms.

The goal of this workshop is to improve the communication between
researchers and companies and to develop novel ideas that can shape the
future of this area, in terms of motivations, methodologies, prospective
trends, and potential industrial applications. Finally, a consideration
about the privacy issues behind the acquisition and the use of
human-centred data must be addressed for both the academia and companies.


TOPICS

=======

The topics of interest include but are not limited to:

   -

   Human Body
   -

      People Detection and Tracking
      -

      2D/3D Human Pose Estimation
      -

      Action and Gesture Recognition
      -

      Anthropometric Measurements Estimation
      -

      Gait Analysis
      -

      Person Re-identification
      -

      3D Body Reconstruction
      -

   Human Face
   -

      Facial Landmarks Detection
      -

      Head Pose Estimation
      -

      Facial Expression and Emotion Recognition
      -

   Outward Appearance
   -

      Garment-based Virtual Try-On
      -

      Human-centred Image and Video Synthesis
      -

      Generative Clothing
      -

      Human Clothing and Attribute Recognition
      -

      Fashion Image Manipulation
      -

      Outfit Recommendation
      -

   Human-centred Data
   -

      Novel Datasets with Human Data
      -

      Fairness and Biases in Human Analysis
      -

      Privacy-Preserving and Data Anonymization
      -

      First Person Vision for Human Behavior Understanding
      -

      Multimodal Data Fusion for Human Analysis
      -

      Computational Issues in Human Analysis Architectures
      -

   Biometrics
   -

      Face Recognition and Verification
      -

      Fingerprint and Iris Recognition
      -

      Morphing Attack Detection



IMPORTANT DATES

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

   -

   Paper Submission Deadline: March 24th, 2022
   -

   Decision to Authors: April 15th, 2022
   -

   Camera ready papers due: April 22nd, 2021
   -

   Workshop date: TBA



SUBMISSION GUIDELINES

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

All the papers should be submitted at:
https://cmt3.research.microsoft.com/TCAP2021.

The maximum number of pages is 10 + 2 pages for references. While preparing
their contributions, authors must follow guidelines and technical
instructions provided by Springer that can be found at:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
.

At the time of submission, authors must indicate the type of the paper:

   -

   Regular papers: will be peer-reviewed following the same policy of the
   main conference (double-blind policy), and will be published in the
   proceedings. These are meant to present novel contributions not published
   previously (submitted papers should not have been published, accepted or
   under review elsewhere).


   -

   Presentation papers: are meant for papers that have been already
   accepted for publication previously, preferably in the last year in some
   major conferences or journals. These papers will undergo a soft-reviewing
   process from the chairs to assess the suitability for the workshop topics.
   These will not appear in the proceedings.


The inclusion of both the above paper categories is meant to encourage
dissemination and discussion of recent findings related to the workshop
topics.

Each accepted paper must be covered by at least one author registered.
Registration can be either for the full event (5 days) at a regular rate or
just for workshops and tutorials (2 days).


WORKSHOP MODALITY

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

The workshop will be held in conjunction with the International Conference
on Image Analysis and Processing (ICIAP 2021). Both virtual and in presence
participation will be allowed.


ORGANIZING COMMITTEE

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

   -

   Prof. Mohamed Daoudi, IMT Lille Douai, France
   -

   Prof. Roberto Vezzani, University of Modena and Reggio Emilia, Italy
   -

   Guido Borghi, University of Bologna, Italy
   -

   Claudio Ferrari, University of Parma, Italy
   -

   Marcella Cornia, University of Modena and Reggio Emilia, Italy
   -

   Federico Becattini, University of Florence, Italy
   -

   Andrea Pilzer, Aalto University, Finland


-- 
Federico Becattini, Ph.D.
Università di Firenze - MICC
Tel.: +39 055 275 1394
https://www.micc.unifi.it/people/federico-becattini/
https://fedebecat.github.io/
federico.becattini at unifi.it
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