Call for Poster – IEEE HPCC 2023 (High Performance Computing and Communications), Dec. 2023

The 25th IEEE International Conference on High Performance Computing and Communications (HPCC 2023), 13-15 Dec. 2023, Melbourne, Australia.
         
Website: http://www.swinflow.org/confs/2023/hpcc/poster.htm

Important Dates:
Deadline for proceedings published posters with display at conference: 23 October 2023

Notification of Acceptance: 25 October 2023

Final versions of proceeding published posters: 30 October 2023

Submissions:
Please email your posters to confs.aus@gmail.com with the email subject as “HPCC 2023 poster submission”.

CFP 9th International Workshop on Accessible Devices and Services (ADS’24) – Extended Deadline

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Las Vegas, Nevada, USA – 9 January 2024

 

Co-Located with

21st IEEE Consumer Communications and Networking Conference (CCNC 2024)

Theme and Scope

Networked consumer devices and services can represent a technological and digital barrier for consumers with disabilities. At the same time, they can be exploited so as to become enabling tools for those users. The workshop addresses a range of research issues involving the accessibility of devices and services/content.

 

This workshop invites scientists, engineers and decision-makers from government, industry and academia to present technical papers on their research and development results in areas of accessibility, including but not limited to the following topics:

– Accessible applications, devices/assistive technologies

– Accessible services: e-learning, e-commerce, e-banking, e-gov, e-travel, etc.

– Accessible content: e-books, e-braille, accessible broadcasting, metaverse, etc.

Accessible applications, devices/assistive technologies

Assistive technologies refer to all the assistive, adaptive, and rehabilitative devices for people with disabilities and promote greater independence by enabling people to perform tasks that they were formerly unable to accomplish, or had great difficulty accomplishing, by providing enhancements to, or changing methods of interacting with, the technology needed to accomplish such tasks. They can be exploited with alternative and non-common ways of interaction. They can be intended as hardware or software that can be used to equip a PC or other kinds of devices (smartphones, tablets, interactive TVs, kiosks, gaming consoles, interactive boards, etc.). On the one hand, the widespread diffusion of new devices and technologies stimulates industries and researchers in finding and applying new solutions so as to make them accessible to anyone. On the other hand, experiences in the accessibility-related fields have been exploited and have provided benefits to users equipped with non-conventional devices when they emerged in the market (e.g. responsive designed interfaces provided benefits to mobile users equipped with devices with limited display size).

Accessible services (e-learning, e-government, e-health, e-commerce, e-banking, etc.) and accessible content (e-books, accessible TV, accessible broadcasting, etc.

E-services and content often require specific technologies and can be bounded by specific constraints when they are accessed by people with disabilities equipped with assistive technologies. Particular interaction modalities may affect interactive services access. Richness and quantity of content may affect the users' ability to process information. Moreover, due to contingent factors, everybody can become situationally impaired. Solutions may be designed and adopted to make e-services and content accessible, taking into account the use of new emerging devices.

 

Paper Submissions

We encourage researchers from industry and academia to submit original works. Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published.

 

The workshop accepts technical papers (max 6 pages) and short papers (max 4 pages) and demo papers (min 2 pages). All paper submissions should be written in English with a maximum paper length of six (6) printed pages (10-point font). Three (3) additional pages are allowed with a charge of USD100 each. Papers exceeding 9 pages will not be accepted at EDAS.

Papers should be submitted in PDF format. 

See IEEE CCNC 2024 conference website for more details: https://ccnc2024.ieee-ccnc.org/authors 

Papers should be used as the basis for a 20 minutes workshop presentation.

 

Important Dates

  • Papers submission due: October 22nd, 2023 (Firm Deadline)
  • Acceptance notification: November 5th, 2023
  • Final Camera ready due: November 19th, 2023
  • Workshop presentation: January 9th, 2024

 

Organization

General Chairs: 

 

Program Chairs:

 

 

CfP: InfoSys 2024 || March 10 – 14, 2024 – Athens, Greece

InfoSys 2024: March 10 – 14, 2024 – Athens, Greece

see: https://www.iaria.org/conferences2024/InfoSys24.html

InfoSys 2024 is a federated event focusing on advanced topics concerning networking, autonomous systems, energy, databases, signal and image processing, and biotechnology.

Submission (full paper) deadline: November 28, 2023

Submissions must be electronically done using the 'Submit a Paper' link on the entry page of each conference.

Before submission, please check and comply with the Editorial rules:
https://www.iaria.org/editorialrules.html.

For details on the each conference's topics, see the individual Call for Papers for each conference.

Unpublished high quality contributions in terms of Regular papers and Posters or Work in Progress are welcome. Workshop proposals and Panel proposals on challenging topics are encouraged.

Extended versions of selected papers will be published in IARIA on-line Journals (https://www.iariajournals.org) and in Special issues of different journals mentioned on the entry page of each conference.

All tracks/topics are open to both research and industry contributions.

CFP – AI for Early Diagnosis of Colorectal Cancer (Deadline: 29/02/2024)

 

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Call for Papers: Artificial Intelligence for Early Diagnosis of Colorectal Cancer 

https://www.frontiersin.org/research-topics/58578/artificial-intelligence-for-early-diagnosis-of-colorectal-cancer 

Deadline: 29 February 2024

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Colorectal cancer (CRC) is one of the leading death causes in developed countries: one in ten people will suffer from it in their lifetime and it estimated to cause 700,000 deaths annually.  Early detection, through screening programmes, is the main strategy to reduce the incidence of CRC, as the survival rate increases if the cancer is detected at an early stage, from 18 % 5- years survival rate to 88.5 %. Colonoscopy is the diagnostic technique most commonly used for the detection and treatment of colorectal polyps, precursor lesions of CRC. 

 

In recent years, artificial intelligence (AI) has been applied with great success in several computer vision-related tasks involving huge data volumes: classification, segmentation or annotation of natural images, object identification or information retrieval. Similarly, deep learning (DL) has also started to be applied in the medical field, where it has achieved results comparable to those obtained by clinical experts. However, it presents a general challenge that lies in the limited amount of information available, since the generation of the dataset requires expert clinical knowledge by practitioners who usually have little time available. 

 

Therefore, the goal of this research topic is to gather knowledge on the current state of the art of applications of AI/DL for early diagnosis of CRC. For the last years, AI/DL methods and systems have been applied in the field of CRC for early detection as well as diagnosis of lesions. There is still wide room for improvement and development to increase the detection rates with the new technical development of IA/DL models that support early diagnosis of CRC. 

 

This Research Topic aims to collect articles dedicated to the early detection of CRC. Colonoscopy images (either from colonoscopes or wireless capsules) are preferred, but CT, MRI or other medical imaging modalities will also be considered. CRC staging and lesion classification will also be considered. Manuscripts containing methods not based on AI/DL are out of scope for this section and will not be accepted as part of this Research Topic. 

 

We welcome submissions covering but not limited to the following sub-topics: 

– AI/DL methods for polyp detection, localization and segmentation including all types of networks: CNNs, transformers, LSTM, GANs, etc. 

– Performance comparison of AI/DL methods vs traditional ones. 

– Presentation of datasets of colorectal images. 

– Data augmentation methods. 

– Validation of early detection systems. 

– Clinical trials, preferably RCT, of the use of AI systems for CRC diagnosis. 

 

The following types of articles are welcome: original articles, clinical trials, systematic literatures searches and meta-analyses. 

 

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Important dates (flexible deadlines)

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Abstract Submission Deadline: 30 November 2023 

Manuscript Submission Deadline: 29 February 2024 

 

Abstract submission is encouraged but not mandatory.

 

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Editorial Board 

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WACV 2024 Workshop – CVS4Smalls CFP] CV4Smalls Computer Vision with Small Data: A Focus on Infants and Endangered Animals

[WACV 2024 Workshop] CV4Smalls Computer Vision with Small Data: A Focus on Infants and Endangered Animals, in conjunction with IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024, JAN 4-8 IN WAIKOLOA, HAWAII 

(https://cv4smalls.sites.northeastern.edu/

 

Workshop Overview:

 

The CV4Smalls workshop is dedicated to exploring the challenges and innovations in applying computer vision techniques to scenarios where data is limited, with a specific emphasis on infants and endangered animals. As these domains present unique data constraints, the workshop aims to foster discussions and solutions that overcome these challenges and leverage computer vision for data-critical applications. 

Topics of Interest

-Transfer Learning, Domain adaptation 

– Learning with Weak or No Supervision 

– Zero-Shot and Few-Shot Learning 

– Active and Continual Learning 

– Learning with Data Augmentation: Data-Driven Generative Models 

– Learning from Synthetic Data: Physics-Based Simulation 

– Multi-Task and Meta Learning 

– Learning with Enforced Structured Prior Knowledge 

Applications of Interest: 

– Infant/Animal Image Segmentation, Registration, and Classification 

– Infant/Animal 2D or 3D Pose Estimation, and Posture Classification 

– Infant/Animal Facial Landmark Detection and Tracking 

– Infant/Animal Action Recognition 

– Infant/Animal Multi-View Multi-Subject Tracking 

– Infant/Animal 3D Body Reconstruction, Image/Motion/Video Generation 

 

Important Dates: 

Paper Submission Deadline: 22nd October, 2023 

Notification of Acceptance: 9th November, 2023 

Camera-Ready Deadline: 19th November, 2023 

Workshop Date: 3-7th January, 2024 


Paper Submission: https://cmt3.research.microsoft.com/CV4Smalls2024

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Dr. Chen Chen, Assistant Professor
CRCV | Center for Research in Computer Vision
HEC 221 | University of Central Florida 
4328 Scorpius St., Orlando, FL 32816-2365
E-mail:
chen.chen@crcv.ucf.edu | URL: https://www.crcv.ucf.edu/chenchen/

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