Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP) Call for Papers

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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::

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- Regular Papers -

(novel contributions not published previously)

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- Presentation Papers -

(papers that have been already accepted for publication previously)

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Apologies for multiple posting

Please distribute this call to interested parties

 

AIMS AND SCOPE

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Human-centered 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-centered
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-centered data must be addressed for both the academia and
companies.


TOPICS

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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-centered Image and Video Synthesis

        Generative Clothing

        Human Clothing and Attribute Recognition

        Fashion Image Manipulation

        Outfit Recommendation

    Human-centered 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

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    Paper Submission Deadline: March 24th, 2022 

    Decision to Authors: April 15th, 2022

    Camera ready papers due: April 22nd, 2021

    Workshop date: TBA



SUBMISSION GUIDELINES

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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

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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

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    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