Image and Vision Computing special issue on »Deep Learning Techniques Applied to Faces« (extended deadline)

[CVML]CALL FOR PAPERS: Image and Vision Computing special issue on »Deep
Learning Techniques Applied to Faces (DLTAF)« (extended deadline)

We invite submissions for the IMAVIS special issue on »Deep Learning
Techniques Applied to Faces«. The goal of this special issue is to
gather novel contributions (either from academia or industry) on deep
learning techniques applied to face images that advance the field across
a diverse cross-section of application domains.

Topics of interest include, but are not limited to:

+ Adversarial techniques in facial analysis
+ Generative modeling of facial expressions and face aging
+ Deep learning architectures and algorithms for face-related applications
+ Deep learning based smart medical solutions related to face understanding
+ Machine learning techniques for deep face recognition
+ Deep learning based face data generation and management
+ High performance computing for deep learning based facial analysis
+ Face-related privacy concerns and solutions
+ Face editing, manipulation and detection

The (extended) submission deadline is *** March 31, 2022 ***.  For more
information visit:
https://www.journals.elsevier.com/image-and-vision-computing/call-for-papers/deep-learning-techniques-applied-to-faces

*** Guest Editors **
Ioannis A. Kakadiaris, University of Houston
Constantine Kotropoulos, Aristotle University of Thessaloniki
Vitomir Struc, University of Ljubljana
Deepak Kumar Jain, Chongqing University of Posts and Telecommunications

Call for topic proposals

The Telluride Neuromorphic 2022 Workshop Organizers are soliciting topic area proposals for the 2022 Telluride Neuromorphic Cognition Engineering Workshop (http://tellurideneuromorphic.org/) which will run from June 26 to July 16, 2022.

Details of the call can be found here:
https://docs.google.com/document/d/16m7iRLUESgwyM1Qzk8m40Y-hkip38W-dv1Vqrlu-cMM/view

Important upcoming dates:
– Jan 07. 2022: Proposer's Day (5PM CET/9am USA MT). We will answer questions from prospective proposers about the topic area organization.
– Jan 16. 2022: Deadline for Topic Area Proposals.

The 2022 Telluride Organizing Team

1st Call For Papers – FIFTH INTERNATIONAL WORKSHOP on Data Engineering meets Intelligent Food & COoking Recipes 2022

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

5th INTERNATIONAL WORKSHOP on Data Engineering Meets Intelligent Food & COoking Recipes 2022DECOR2022

Co-Located with the 38th IEEE International Conference  on Data Engineering (ICDE) 

May 9, 2022     – Virtual –    KUALA LUMPUR, MALAYSIA


DECOR2022@ICDE Webpage: http://research.nii.ac.jp/decor/decor2022.html

 


PAPERS SUBMISSION (1st Round):


IMPORTANTE DATE:  14 January 2022, Full and Short Papers, and Demos Submission Deadline. 

PUBLICATION: All DECOR 2022 presented papers will be published by ICDE Proceedings at IEEE Xplore

                          Digital Library and DBLP. 


We invite submissions of high-quality papers in all topics of DECOR.

All papers must be original and not simultaneously submitted to another journal or conference and must be prepared for blind review.

Submission@ https://easychair.org/conferences/?conf=decor2022icde

 


Dear Friends and Colleagues, 

DECOR is a premier International Workshop targeting state-of-the-art as well as emerging topics pertaining to researchers in the intersection of Data Engineering, Intelligent Food and Cooking Recipes.  As a multidisciplinary conference, it aims at providing an exchange platform for students, faculties, and researchers from all over the world. 

DECOR 2022 invites various research associates to discuss the current status, technical challenges, of the future services and applications,

as part of a rich workshop program, which includes 

  • Keynote Speakers  (Academia Track and Industry Track)     
  • Interactive Panel Discussions 
  • Enlightening Student session 
  • Most innovative student paper award Best paper award

 

 

The topics of interest include but are not limited to the following (see CFP for expanded topics): 

  • Foundation and Technologies for Intelligent Food and Cooking Recipes 
  • Data Analytics in Recipe Computing 
  • Learning and Deep Learning for Computational Cooking 
  • Collective intelligence for Recipe Computing 
  • Nutritional Value and Applications for Intelligent Food Systems 

    Committee Members

Workshop Chairs       

  • F. Andres, National Institute of Informatics, JP 
  • G. Bagler, Indraprashtha Institute of Information and Technology Delhi, IN 
  • F. Fotouhi, Wayne State University, US 
  • M. Leite, University of South Florida at St Petersburg, USA/ BCAM, Spain


Publicity Chairs       

  • R. Kannan, Bishop Heber College, IN 
  • M. S. Karim, Universiti Putra Malaysia, MY 
  • A. Pester, The British University in Egypt, EG 
  • Y. Sulema, Igor Sikorsky Kyiv Polytechnic Institute, UA 
  • B. Thuraisingham, UT Dallas, US 

 

Program Committee

  • C. Anantaram, IIIT & Tata Consultancy Services Ltd, IN 
  • M. Bhardwaj, Halliburton, US  

  • A. Cardoso, Universidade de Coimbra, PT 

  • X. Dai, Univ. of N. Carolina, USA 

  • L. D’Orazio, IRISA, FR 

  • G. Ghinea, Brunel University, UK 

  • I. Ide, Nagoya University, JP

  • M.S. Karim, Universiity Putra Malaysia, MY

  • D.L. Lee, HKUST, HK 

  • F. Ofli, QCR Institute, Qatar 

  • M.T. Restivo, University of Porto, PT 

  • E. B. Saleme, IFES, BR 

  • F. Sedes, IRIT, Toulouse, FR 

  • A. Shakya, Tribhuvan University, Nepal  

  • C. Shimizu, Kansas State University, US 

  • Y. Wang, Texas Southern University, US 

  • K. Yanai, UEC, JP 

 

Steering Committee 

  • Hevner, A., University of South Florida, US 
  • Ioannidis, Y., University of Athens, GR 

  • Kapetanios, E., University of Hertfordshire, UK 

  • Kitagawa, T., Rakuten, JP 

  • Levy, P. A., University of Ottawa, CA 

  • Nuessli Guth., J., ETH Zürich, CH 

  • Thuraisingham, B., University of Texas Dallas, US 

  • Yamakata, Y., The University of Tokyo, JP 

  • Zhang, A., University of Virginia, US 

Maria C.A. Leite, PhD

Associate Professor of Mathematics

Phone: 727.873.4801

ICPR 2022 Call for Papers

ICPR 2022 is the premier world conference in Pattern Recognition. It covers both
theoretical issues and applications of the discipline.

See:https://www.icpr2022.com/
Contact:info@icpr2022.com

ICPR 2022 solicits original research for publication in the main conference.
(Please note that there are also Workshops, Challenges, and Tutorials
  which also have January 17 or later proposal deadlines.)

Topics of interest include all aspects of Pattern Recognition, not limited to
the following detailed list:

Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis

   * classification and clustering
   * statistical learning theory
   * syntactic and structural pattern recognition
   * neural network architectures and models
   * graph models
   * deep learning
   * representation learning
   * online learning and continual learning
   * supervised, unsupervised, self-supervised and semi-supervised learning
   * transfer learning and meta learning
   * multi-modal and multi-view learning
   * active and ensemble learning
   * reinforcement learning
   * compressed sensing and sparse representation
   * large scale learning and big data
   * recurrent networks, temporal models and non-feed-forward methods
   * low-shot and long-tailed learning
   * generative models

Track 2 : Computer Vision and Robotic Perception

   * early and low-level vision
   * stereo and 3D vision
   * multiple view geometry
   * object detection and recognition
   * motion, tracking and video analysis
   * deformable models and registration
   * learning for vision
   * scene analysis and understanding
   * action and behavior recognition
   * vision and language
   * perception for autonomous navigation and/or driving
   * vision for robotics, robot navigation and SLAM
   * perceptually driven reinforcement learning

Track 3: Image, Video, Speech, and Signal Analysis

   * sensor array and multichannel signal processing
   * image and video processing
   * enhancement, restoration and filtering
   * segmentation, features and descriptors
   * coding, compression and super-resolution
   * speech and speaker recognition
   * audio and acoustic processing
   * computational photography
   * models, representations, and techniques for image mining
   * Image analysis with ill-structured and spatial information

Track 4: Biometrics and Human-Machine Interaction

   * hard biometrics: face, iris, fingerprint, palmprint
   * soft biometrics: skin, hair, ear, vein, facial expression
   * gait and behavior
   * multi-biometrics
   * person identification and re-identification
   * human-robot interaction
   * brain-computer interfaces
   * social robotics
   * human body motion and gesture-based interaction
   * speech and natural language-based interaction
   * affective computing
   * surveillance and security
   * ethics and fairness issues in the use of biometrics

Track 5: Document and Media Analysis

   * text and symbol recognition
   * handwritten text recognition
   * document image analysis
   * document understanding
   * natural language processing
   * scene text detection and recognition
   * graphics recognition
   * content based image retrieval and data mining
   * visual question and answering
   * multimedia document analysis
   * media analysis for augmented and virtual reality
   * multimodal fusion
   * table detection, recognition, and structure extraction
   * video text detection and recognition
   * Human-document interaction

Track 6: Biomedical Image Analysis and Informatics

   * data-driven modeling of clinical care
   * clinical predictive modeling
   * biostatistics
   * biomedical imaging techniques
   * quantitative microscopy
   * medical image analysis
   * interactive segmentation
   * visualization and 3D printing
   * medical applications

================
Submission guidelines
================

ICPR 2022 will employ a two-round review process. Papers must be registered prior
to submission and all submissions take place through the PaperCept Conference
Management Submission.

Papers submitted by the paper deadline will be reviewed using single-blind peer review.
Authors are required to include their names and affiliations in their paper as illustrated
in the sample paper templates. Submissions must identify the preferred track among the
six conference tracks.

The result of the first review round will either be accept (possibly with recommended changes),
reject, or revise to resubmit for a second review round. Accepted papers will be published by
IEEE and be available in IEEE Xplore. Submissions must be limited to six pages
plus additional pages for references.

================
IAPR Ethical Requirements for Authors
================

IAPR requires that all authors wishing to present a paper declare that:

   * The paper is substantially original and that no paper substantially similar in content
   has been submitted or will be submitted to any other conference or journal during the
   review period.

   * The paper does not contain any plagiarism.

   * The paper will be presented by the author or a co-author in person or online.

   * IAPR retains the right to eliminate any papers in violation of these requirements
     and to exclude the authors of such papers from future IAPR community activities.

For the full statement of IAPR ethical requirements for authors, see the
webpage:https://iapr.org/constitution/soe.php.

In case of no-show, where neither an author nor a proxy presents the paper at the
conference, ICPR 2022 reserves the right to exclude the paper from distribution
and publication after the conference by removal from IEEE Xplore.

================
Important dates
================

* Paper registration deadline January 10, 2022
* Paper submission deadline January 17, 2022
* Acceptance/Rejection/Revision decision March 14, 2022
* Revision/rebuttal deadline April 11, 2022
* Final decision on submissions May 9, 2022
* Camera ready manuscript deadline June 6, 2022
* Early bird registration deadline June 6, 2022
* ICPR 2022 August 21-25, 2022

See:https://www.icpr2022.com/
Contact:info@icpr2022.com

IPMU, S20: Soft Computing and Artificial Intelligence Techniques in Image Processing,

 

IPMU, S20: Soft Computing and Artificial Intelligence Techniques in Image Processing,

 

https://ipmu2022.disco.unimib.it/, deadline for submissions January 14, 2022

 

Dear Colleagues, 

We invite you to contribute to the Special Session, the importance of which does not require additional arguments. Image processing has become a part of our life. This area is evolving rapidly and new tools are welcome, especially if they are focused on reducing computational complexity. Below you will find a description and topics of interest that are planned to be discussed.

Our team of organizers for the special session wishes you a pleasant winter break and a good start to next year!

 

Organizers: Irina Perfilieva, Javier Montero, Humberto Bustince, Carlos Lopez Molina, Jan Hula

 

 

Special Session (S20) proposal

Soft Computing and Artificial Intelligence Techniques in Image Processing,

with the focus on Advanced Shape Analysis and Reconstruction“

 

The Special Session is focused on theoretical and application aspects of image processing.

Traditionally, our interest is in the direction of modern AI methods that use and combine conventional, fuzzy and neural network methods together.

 

This year we propose to discuss in detail the topic of shape analysis and reconstruction, which plays a key role in applications ranging from traditional geometry processing to advanced 3D content management techniques. Shape analysis is closely related to semantic understanding, which is extremely important in applications dealing with a 3D representation of a scene.

Among other things, we are looking for tools that support semantic annotation of digital 3D shapes.

Our interest also lies in the development of shape analysis tools capable of capturing a diverse set of morphologically significant functions, possibly at different scales, for the purpose of segmentation, classification, clustering, and other tasks.

 

This special session will focus on (but not limited to) the following topics:

 

·      Soft computing methods in all aspects of image analysis and processing;

·      Medical image processing;

·      Reliable feature extraction;

·      HD Manifolds in image representation;

·      Manifold learning;

·      Laplace-Beltrami operators and Graph Laplacians;

·      Reduction of dimensionality;

·      Manifolds and fuzzy sets.

 

Irina Perfilieva, Javier Montero, Humberto Bustince, Carlos Lopez Molina, Jan Hula

###########################

Prof. Irina Perfilieva, PhD, dr.h.c., prof.h.c.

Centre of Excellence IT4Innovations division of the University of Ostrava

Institute for Research and Applications of Fuzzy Modeling

30. dubna 22

701 00 Ostrava 1

Czech Republic

 

tel: +420-597 091 408

fax: +420-596 120 478

 

http://irafm.osu.cz/ 

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