St Etienne, France (virtual conference), 7th-10th June 2022
FINAL deadline for paper submission: 6th February 2022
Co-sponsored by: IEEE, IET, IAPR, ACHIRP (Chilean Association for
Pattern Recognition)
http://www.icprs.org
The 12th International Conference on Pattern Recognition Systems
(ICPRS-22) is an annual event that follows ICPRS-21, ICPRS-19, ICPRS-18,
ICPRS-17 and ICPRS-16, a continuation of the successful Chilean
Conference on Pattern Recognition that reached its 6th edition in 2014.
In 2022 it is organised by MINES Saint-Etienne (France) and the Chilean
Association for Pattern Recognition (ACHiRP, a member of the IAPR),
endorsed by the IAPR and sponsored by IEEE France, IEEE France SP
Chapter, IEEE Chile CIS Chapter and the IET’s Vision & Imaging
Community. As in previous years, papers deemed to be of the required
standard AND presented at the conference, will be normally indexed in
IEEE Xplore. Please note that the publishers might reject papers which
are too similar to previous publications, even if the work is presented
at the conference. All paper submissions need to be submitted via
Conftool to be peer-reviewed (double-blind) by an international panel of
experts. Excellent papers will be encouraged to submit extended versions
for consideration in a JCR-indexed journal (tba). For more information,
please seehttp://www.icprs.org. There will be a good set of keynote
talks. An innovative aspect of this conference is that it will be a
hybrid event so that authors, invited speakers and delegates may choose
to attend through a webminar system. There is also a special “Student
Paper” category for papers whose main author is a registered student at
the time of submission.
Prospective authors are invited to submit papers describing novel and
previously unpublished results on topics including, but not limited to:
• Artificial Intelligence Techniques in Pattern Recognition
• Bioinformatics Clustering
• Biometrics (including face recognition)
• Computer Vision
• Data Mining and Big Data
• Dataset: a new public dataset and baseline
• Deep Learning and Neural Networks for Pattern Recognition
• Document Processing and Recognition
• Fuzzy and Hybrid Techniques in PR
• High Performance Computing for Pattern Recognition
• Image Processing and Analysis
• Kernel Machines
• Mathematical Morphology
• Mathematical Theory of Pattern Recognition
• Medical Image Processing and Analysis
• Natural Language Processing and Recognition
• Object Detection, Tracking and Recognition
• Pattern Recognition Principles
• Pattern Recognition for optimization
• Real Systems, Applications and Case Studies of Pattern Recognition
(e.g. health, environment, weather prediction, natural disasters,
transportation, etc.)
• Robotics
• Remote Sensing
• Shape and Texture Analysis
• Signal Processing and Analysis
• Social Media and HCI
• Signal Processing and Analysis
• Statistical Pattern Recognition
• Syntactical and Structural Pattern Recognition
• Time series prediction
• Voice and Speech Recognition
Webinar on “Face Recognition and Surveillance: Enhancing Privacy and Fairness” by prof. Arun Ross
February 1st, 2022 
Daniela Lopez de Luise that will cover different topics related to biometrics. The inaugural
webinar in the series will be given by Prof. Arun Ross (Michigan State
University) on January 27th, 2022, at 9am EST on »Face Recognition and
Surveillance: Enhancing Privacy and Fairness«. The webinar will be held
over Zoom.
Registration is free, but required:
https://polyu.zoom.us/meeting/register/tJIudOqrrjkoG9EB3tCg5s2WrTnLtjap0cww
When: January 27th, 2022, 9AM EST
Where: Zoom (link will be e-mailed automatically after registration)
Consider attending.
With kind regards,
VP Technical Activities, IEEE Biometrics Council
Frontiers in Robotics and AI: Biologically Inspired Vision Mechanisms for Resource-Constrained Robotics Applications,
January 31st, 2022 Daniela Lopez de Luise Keywords: Resource-constrained Vision, Selective and Divided Attention Mechanisms,
Biologically Inspired Vision, Active Vision
Specialty Sections: Robot and Machine Vision; Bio-inspired Robotics, Humanoid Robotics
I. Background
Attention mechanisms are the fundamental processes in biological systems, responsible for prioritizing the elements of the visual scene to be attended, i.e., to control perceptual resources and cope with the brain computational limitations. Humans, for instance, rely on space-variant sensing (foveal vision), and on stimulus-driven (bottom-up) and goal-driven (top-down) information processing mechanisms to define where in the visual input the attentional foci should be oriented to. This way, information processing is constrained and directed towards salient or task-relevant stimuli. Likewise, an important issue in many computer vision applications requiring real-time performance, resides in the involved computational effort, especially in robotics where energy efficient, fast, and accurate perception is a fundamental requirement, e.g., in visual localization and servoing during grasping, manipulation and hand-over of tools to human or machine collaborators. In humanoid robotics real-time operation is conditioned by physical limitations on on-board computational and power resources, as well as sensory data transmission bandwidth.
II. Scope and information for Authors
This Research Topic aims to collect submissions which demonstrate how vision can be enhanced with novel and especially bio-inspired technologies. We are seeking contributions on the following topics of interest, but not limited to:
- Efficient perception with unconventional vision sensors, such as event cameras, focal-plane sensor-processor, software/hardware retinas, foveal vision, plenoptic cameras.
- Biologically plausible space and time variant visual attention and constrained resource allocation computational mechanisms for artificial systems with limited resources.
- Efficient neural network architectures and learning visual mechanisms for resource-constrained robots
- Biologically principled models for active vision
- Biologically motivated approaches to vision for embedded systems with hard real-time constraints.
III. Submission
Submission's deadline: 14 April 2022
Submitted papers will be reviewed as soon as they are received.
Median processing time for peer-review and a first decision in this journal in 2020 was about 14 days.
IV. Guest Editors
• Rui Pimentel de Figueiredo – Capra Robotics ApS, Aarhus, Denmark
• Lorenzo Jamone – Queen Mary University of London, London, United Kingdom
• Alexandre Bernardino – Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
We’re putting together a group of top researchers whose work we’d like to feature in this collection, and we thought you would be interested in participating.
Hosted by Frontiers in Robotics and AI, this is a unique opportunity for us to collaborate and to showcase your research.
I look forward to working together on this exciting project.
Kind Regards,
Rui Pimentel de Figueiredo
Topic Editor,
Robot and Machine Vision Section, Frontiers in Robotics and AI
On behalf of the Topic Editors.
__________
All submitted articles are peer reviewed.
Article processing charges are applied to all published articles.
• See if your institution has a payment plan with us. (see here: https://www.frontiersin.org/about/institutional-membership )
• Find out about applying for fee support (see here https://www.frontiersin.org/about/publishing-fees#feesupport )
About Frontiers in Robotics and AI
Leading research on robotics and artificial intelligence, bringing the latest technology to society. The journal is led by Field Chief Editor Kostas J Kyriakopoulos from the National Technical University of Athens.. CiteScore: 4.4 (as reported in Scopus by Elsevier). Frontiers is the world's third most-cited publisher with more than 2.2 million citations and 1.4 billion views and downloads from global research and innovation hubs.
Emerging Techniques in Computational Intelligence International Conference
January 31st, 2022 Daniela Lopez de Luise Dear All,
After the success of the recently concluded First International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2021 (proceedings live on IEEE Xplore), with multiple tutorial sessions, competitions, ten keynote lectures by internationally acclaimed specialists, and technical paper presentations, we are now getting into the second edition of the Conference in the coming year.
The Second International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2022 will be held at Mahindra University, Hyderabad on Aug 25-27, 2022. This aims to highlight the evolution of topics, frontline research and multiple applications, in the domain of Computational Intelligence from the mainstream foundations to novel investigations and applications. The conference comprises of one day of tutorial sessions followed by two days of Keynote Lectures by invited international experts from Industry and Academia, and technical paper presentations. Also, the conference hosts several special sessions on emerging technologies and applications related to computational intelligence. In addition to tutorials by experts from the academia, the conference is also expected to have industry-relevant tutorials by experts from top industries like NVIDIA and Tech Mahindra.
You may like to listen to an introductory video on ICETCI 2022 by Dean Research, Mahindra University, Prof Arya K. Bhattacharya by clicking the following link:
https://www.youtube.com/watch?v=dc12sCwiUlk
More information on the Conference may be found at http://ietcint.com/
ICETCI 2022 invites submissions that are original, previously unpublished innovative work in any area of Computational Intelligence, both emerging topics which form the theme of the conference as well as more foundational areas.
The three main tracks of the Conference are:
- Deep Learning
- Sequence Modelling and
- General Topics in Computational Intelligence
LIST OF TOPICS
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Models |
Applications |
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Paper Submission
Manuscripts for ICETCI 2022 should be submitted electronically at https://edas.info/N29171
Authors should submit manuscripts up to 8 A4-size pages in length, including figures, tables and references, prepared using the provided templates. At most two extra pages can be included at $50.0 each.
All submitted manuscripts will be subjected to four or more reviews. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.
Paper Templates
The paper size should be A4 and must be prepared in two-column format. They should be formatted according to standard templates for IEEE Conference Proceedings, available for Microsoft Word and LaTeX at
https://www.ieee.org/conferences/publishing/templates.html
Important Dates:
Special Session Proposal Deadline: Jan 15, 2022
Tutorial Proposal Deadline: Feb 15, 2022
Last date for Paper Submission: Feb 15, 2022
Final Notification of review outcomes: May 15, 2022
Submission of Final paper: May 31, 2022
Early Registration Deadline: May 31, 2022
Final Registration Deadline: Aug 24, 2022
Conference dates: Aug 25-27, 2022.
Call for Special Sessions
Special Session proposals are invited for the ICETCI 2022 conference. The proposal shall include title, aims, scope, and organizers name with short biography. A list of potential contributors would be helpful in evaluating the proposal. All proposals are to be submitted to the Special Session Chair (rama.murthy@mahindrauniversity.edu.in)
Call for Tutorials
Tutorials provide a forum to learn about emerging techniques in computational intelligence through hands or demonstration mode. Potential organizers shall send their proposals to the Tutorials Committee Chairs
(tilottama.goswami@ieee.org , neha.bharill@mahindrauniversity.edu.in ).
We look forward to welcoming you to Hyderabad!
Best Regards,
Publicity Committee Chairs – ICETCI 2022
The 5th UG2 Workshop and Prize Challenge (CVPR 2022) Inbox
January 31st, 2022 Daniela Lopez de Luise In conjunction with CVPR 2022, June 19
Website: http://www.ug2challenge.org/
Challenge Registration: https://forms.gle/Td6DQuAJuuoLptN58
CMT: https://cmt3.research.microsoft.com/UG2CHALLENGE2022
Contact: cvpr2022.ug2challenge@gmail.com
Track 1: Object Detection in Haze Conditions
A dependable vision system must reckon with the entire spectrum of complex unconstrained and dynamic degraded outdoor environments. It is highly desirable to study to what extent, and in what sense, such challenging visual conditions can be coped with, for the goal of achieving robust visual sensing. This challenge aims to evaluate and advance object detection algorithms’ robustness in haze condition.
Track 2: Action Recognition from Dark Videos
Videos shot under adverse illumination are unavoidable, such as night surveillance, and self-driving at night. It is therefore highly desirable to explore robust methods to cope with dark scenarios. It would be even better if such methods could utilize web videos, which are widely available and normally shot under poor illumination. This challenge aims to promote action recognition algorithms’ robustness with special focus on dark videos.
Track 3: Action Recognition from Dark Videos
The theories of turbulence and propagation of light through random media have been studied for the better part of a century. However, under turbulence and propagation of light through random media, progress of modern image reconstruction algorithms (e.g., deep learning methods) has been slow. This challenge aims to promote the development of new image reconstruction algorithms for incoherent imaging through anisoplanatic turbulence.
Paper Track:
- Novel algorithms for robust object detection, segmentation or recognition on outdoor mobility platforms, such as UAVs, gliders, autonomous cars, outdoor robots, etc.
- Novel algorithms for robust object detection and/or recognition in the presence of one or more real-world adverse conditions, such as haze, rain, snow, hail, dust, underwater, low-illumination, low resolution, etc.
- The potential models and theories for explaining, quantifying, and optimizing the mutual influence between the low-level computational photography (image reconstruction, restoration, or enhancement) tasks and various high-level computer vision tasks.
- Novel physically grounded and/or explanatory models, for the underlying degradation and recovery processes, of real-world images going through complicated adverse visual conditions.
- Novel evaluation methods and metrics for image restoration and enhancement algorithms, with a particular emphasis on no-reference metrics, since for most real outdoor images with adverse visual conditions it is hard to obtain any clean “ground truth” to compare with.
Important Dates:
- Paper submission: March 22, 2022 (11:59PM PST)
- Paper Acceptance Announcement: March 30, 2022 (11:59PM PST)
- Challenge result submission: May 1, 2022 (11:59PM PST)
- Winner Announcement: May 20, 2022 (11:59PM PST)
- CVPR Workshop: June 19, 2022 (Full day)
- Ming-Hsuan Yang (University of California, Merced)
- Danna Gurari (University of Colorado Boulder)
- Xiaohua Zhai (Google Brain)
- Achuta Kadambi (University of California, Los Angeles)
- Ulugbek Kamilov (Washington University in St. Louis)
- Angie Liu (Johns Hopkins University)
- Qifeng Chen (Hong Kong University of Science and Technology)
- Daniel LeMaster (Air Force Research)
- Russell Hardie (University of Dayton)
- Zhangyang Wang (UT Austin)
- Jiaying Liu (Peking University)
- Walter J. Scheirer (University of Notre Dame)
- Stanley H. Chan (Purdue University)
- Wenqi Ren (Chinese Academy of Sciences)
- Shalini De Mello (NVIDIA)
- Keigo Hirakawa (University of Dayton)
- Wuyang Chen (UT Austin)
- Wenhan Yang (Nanyang Technological University, Singapore)
- Yuecong Xu (Institute for Infocomm Research (I2R), A*STAR, Singapore)
- Zhenghua Chen (Institute for Infocomm Research (I2R), A*STAR, Singapore)
- Zhenyu Wu (Wormpex AI Research)
- Zhiyuan Mao (Purdue University)
- Dejia Xu (UT Austin)
- Nicholas Chimitt (Purdue University)