Connectionists: CFP: 10th Workshop on Human Behavior Understanding (HBU at ICCV)

[Albert Ali Salah]

Dear colleagues,

The deadline for the 10th HBU is extended to 8th July. Please note
that the submissions can be on the focus theme, as well as on the
general topics of the HBU.

Apologies for cross-posting...

HBU Organizers


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10th Workshop on Human Behavior Understanding (HBU)
In conjunction with the International Conference on Computer Vision (ICCV) 2019
27 October 2019, Seoul, Korea

Focus Theme: Generating, Forging and Detecting Fake Human Behavioral Data
https://project.inria.fr/whbu/

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CALL FOR PAPERS

As in many other computer vision tasks, deep learning has brought
revolutionary advances in human behaviour understanding from visual
data. Deep models are now extremely effective not only in detecting
and analyzing human faces, bodies and collective activities but also
in generating realistic human-like behavioral data. From full-body
deep fakes to AI-based translation dubbing, deep networks can now
synthesize images and videos of humans such as they are virtually
indistinguishable from real ones. The workshop will focus on recent
advances and novel methodologies for generating human behaviour data,
with special emphasis on approaches for forging images and videos
depicting real-looking human faces and/or full bodies and on
algorithms for detecting fake human-like visual data.

The HBU workshops, organized since 2010 as a satellite to ICPR’10,
AMI’11, IROS’12, ACM Multimedia’13, ECCV’14 and UBICOMP’15, ACM
Multimedia’16, FG’18, ECCV’18 Conferences, aim to inspect developments
in areas where smarter computers that can sense human behavior. These
events have a unique aspect of fostering cross-pollination of
different disciplines, bringing together researchers of mobile and
ubiquitous computing, computer vision, multimedia, robotics, HCI,
artificial intelligence, pattern recognition, interaction design,
ambient intelligence, and psychology. The diversity of human behavior,
the richness of multi-modal data that arises from its analysis, and
the multitude of applications that demand rapid progress in this area
ensure that the HBU Workshops provide a timely and relevant discussion
and dissemination platform.

Each edition of the HBU workshop had a different focus theme, dealing
with a newly emerging topic or question in the automatic analysis of
human behavior. The focus theme of this year is of high interest for
computer vision researchers: Generating, Forging and Detecting Fake
Human Behavioral Data. The automatic generation of visual contents is
currently a very hot topic in the community. With this edition of the
HBU workshops, we attempt to foster research on how to generate visual
data (still images and videos) describing human behavior both from the
applicative and methodological points of view.


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TOPICS

ICCV’2019 HBU workshop, in addition to covering the main themes of
human behavior understanding, deals with generating human behavior
data, with special emphasis on methodologies and approaches for
forging images and videos depicting real-looking human faces and/or
full bodies and on algorithms for detecting fake human-like visual
data. Contributions based on deep neural architectures are welcome, as
well as methods based on other techniques (e.g. parametric models).
These contributions could address the following topics:

*Human Behavior Analysis Systems*

Action and activity recognition
Affect analysis
Face analysis
Gaze, attention and saliency
Gestures and haptic interaction
Social signal processing
Voice and speech analysis
Theoretical frameworks of behavior analysis
Data collection, annotation, and benchmarking
User studies and human factors

*Generating Visual data of Human Behavior*

Methods for face synthesis and modification of facial attributes (e.g.
age, expression).
Approaches for generating human bodies and altering their properties
(e.g. 3D pose, clothes).
Techniques for forging human-like behavioral data
Methodologies for counteracting adversarial attacks.
Techniques for synthesizing visual data depicting collective human behaviour.
Novel deep generative models for sequence-like data generation.
Approaches to synthesize multi-modal human behavioral data.
Applications (e.g. surveillance, entertainment, autonomous driving,
fashion, robotics).


Papers must be submitted online through the EasyChair submission system at:
https://easychair.org/conferences/?conf=hbu2019
and will be double-blind peer-reviewed by at least two reviewers.
Submissions should conform to the ICCV 2019 proceedings style.

We expect two kinds of submissions:
-Full papers of new contributions (8 pages NOT including references)
-Short papers describing incremental/preliminary work (2 pages NOT
including references)

More info at: https://project.inria.fr/whbu/

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IMPORTANT DATES
Regular Paper Submission: July 8th, 2019
Extended Abstract Submission: July 15th, 2019
Notification of Acceptance: July 31st, 2019
Camera-Ready: August 15th, 2019

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INVITED SPEAKERS

Cristian Sminchisescu, Google & Lund University, DE
Hao Li, University of Southern California, USA


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ORGANIZERS:
Xavier Alameda-Pineda, Inria, FR.
Xiaoming Liu, Michigan State University, USA.
Elisa Ricci, FBK & University of Trento, IT.
Albert Ali Salah, Bogaziçi University, TR & Utrecht University, NL.
Nicu Sebe, University of Trento, IT.
Sergey Tulyakov, Snap Research, USA.

-- 
Dr. Albert Ali Salah
http://www.staff.science.uu.nl/~salah006/
Utrecht University
Dept. Information and Computing Sciences;
Bogazici University,
Computer Engineering Dept.