[visionlist] [CFP] 1st International Workshop and Challenge on People Analysis: From Face, Body and Fashion To 3d Virtual Avatars” International Workshop at ECCV 2022

Federico Becattini federico.becattini at unifi.it
Wed Jun 15 10:33:40 -04 2022


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

Call for Papers

“1st International Workshop and Challenge on People Analysis:
>From Face, Body and Fashion To 3d Virtual Avatars”

International Workshop at ECCV 2022

(1st Edition)
https://sites.google.com/view/wcpa2022/

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



WORKSHOP

Submission paper deadline
July 10th, 2022
(11.59 p.m. AoE)



CHALLENGE

Track1: Multi-View Based 3D Human Body Reconstruction

Track2: Perspective Projection Based Monocular 3D Face Reconstruction

Registration deadline: June 30, 2022





Apologies for multiple posting

Please distribute this call to interested parties



AIMS AND SCOPE

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

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

=======

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 and Fashion
   -

      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

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

   -

   Paper Submission Deadline: July 10th, 2022 (11.59 p.m. AoE)
   -

   Decision to Authors: August 10th, 2022
   -

   Camera ready papers due: August 22nd, 2022



SUBMISSION GUIDELINES

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

All the papers should be submitted at:
https://cmt3.research.microsoft.com/WCPA2022

All papers will be reviewed by at least two reviewers with double-blind
peer-review policy. Accepted submissions will be published in the ECCV 2022
Workshops proceedings.

Papers must be prepared according to the ECCV guidelines. Papers are
limited to 14 pages, including figures and tables, in the ECCV style.
Additional pages containing only cited references are allowed.

Papers that are not properly anonymized, or do not use the template, or
have more than 14 pages (excluding references) will be rejected without
review.

Note also that the template has changed since ECCV’2020. We therefore
strongly urge authors to use this new template instead of templates from
older conferences.


WORKSHOP MODALITY

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

The workshop will be held in conjunction with the European Conference on
Computer Vision (ECCV 2022). The workshop will take place in an entirely
virtual mode.


ORGANIZING COMMITTEE

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

   -

   Alberto del Bimbo, University of Florence, Italy
   -

   Mohamed Daoudi, IMT Lille Douai, France
   -

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

   Xavier Alameda-Pineda, INRIA Grenoble, France
   -

   Guido Borghi, University of Bologna, Italy
   -

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

   Claudio Ferrari, University of Parma, Italy
   -

   Federico Becattini, University of Florence, Italy
   -

   Andrea Pilzer, NVIDIA, Italy



CHALLENGE COMMITTEE

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

   -

   Zhiwen Chen, Alibaba Group, China
   -

   Xiangyu Zhu, Institute of Automation, Chinese Academy of Sciences, China
   -

   Ye Pan, Shanghai Jiao Tong University, China
   -

   Xiaoming Liu, Michigan State University, USA


-- 
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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