IS&T Best Student Research Seminars…AI and Stereo-Cameras to Detect IEDs

July 16th, 2020 Daniela Lopez de Luise
Announcing a NEW Seminar Series from IS&T featuring the best student research in electronic imaging. The first of seven bi-weekly seminars featuring on the best paper research presented at the 2020 International Symposium on Electronic Imaging (EI 2020) is on the “Use of AI and Stereo-Cameras to Detect IEDs” at 10:00 EDT on Wednesday 15 July. A live discussion will follow each seminar. 

Learn more and register at https://bit.ly/StudSemEI2020 – space is limited!

***Saving lives with CNNs: Detecting hidden explosives based on suspicious environmental changes***
Based on the paper: Real-time Small-object Change Detection from Ground Vehicles Using a Siamese Convolutional Neural Network
**Winner of the Best Student Paper Intelligent Robotics and Industrial Applications using Computer Vision 2020 Conference**

Presenter: Sander Klomp, Eindhoven University of Technology

Wednesday, 15 July 2020

10:00 – 10:45 EDT / 15:00 – 15:45 BST / 16:00 – 16:45 CET

https://bit.ly/Reg_Klomp

Connect with us on LinkedIn and Twitter @ImagingOrg @ElectroImaging for Best Student Research Seminar updates!

Roberta Morehouse, CMP
Communications and Marketing Manager
Society for Imaging Science and Technology (IS&T)
https://www.imaging.org

Read More »

CFP Electronics- AI Section: SI Deep Learning for Computer Vision: Algorithms, Theory and Application (Q2, IF 2.412)

July 16th, 2020 Daniela Lopez de Luise
Electronics (ISSN 2079-9292) is an open access journal of MDPI indexed by the Science Citation
Index Expanded—Web of Science (Impact Factor—SCIE (2019) = 2.412). This journal is currently
running a Special Issue on “Deep Learning for Computer Vision: Algorithms, Theory and
Application”, in which I am serving as the Guest Editor.
Based on your expertise, we would like to invite you to publish an original research article or Review paper in this Special Issue.
Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website.
This Special Issue aims at bringing together researchers and scientists from various disciplines to present recent advances in dealing with the challenging problems of computer vision within the framework of deep learning. We invite authors to submit manuscripts on topics related to the theme of the Special Issue and which have not been previously published. The topics of interest include, but are not limited to:
 Deep learning algorithms and models (supervised/weakly supervised/unsupervised)
 Feature learning and feature representation based on deep learning
 Deep learning-based image recognition
 Deep learning-based video understanding
 Deep learning-based remote sensing image analysis
 Deep learning-based saliency/co-saliency detection
 Deep learning-based visual object tracking
 Deep learning-based image super-resolution
 Deep learning-based image quality assessment
 Deep network compression and acceleration
We hope you find this topic to be of interest. In this case, we would appreciate receiving a preliminary title and list of authors at your earliest convenience.
The submission deadline is 30 April 2021 and manuscripts may be submitted at any point until 30 April 2021 as papers will be published on an ongoing basis.

*Indexing*
Electronics is a peer-reviewed, open access journal on the science of electronics and its
applications. The journal is indexed by the Science Citation Index Expanded (Web of Science),
Inspect (IET), and Scopus. Its Impact Factor is 2.412 (2019).
*Fast Publication*
Manuscripts are peer-reviewed, and a first decision is provided to authors approximately 15.1 days
after submission; acceptance to publication is then undertaken in 2.8 days (median values for
papers published in the second half of 2019).

*Article Processing Charge*
An article processing charge (APC) of 1500 CHF (Swiss Francs) applies to each paper accepted
after peer review.

For further details on the submission process, please refer to the instructions for authors at
http://www.mdpi.com/journal/electronics/instructions.
We appreciate it if you could let us know if you are interested in this Special Issue, such that we can
send you further details regarding the submission process.
For more information, you may contact Ms. Ada Tian if you have any questions or consideration.
Ms. Ada Tian, Assistant Editor, E-mail: ada.tian@mdpi.com
Please get in touch with any questions, and we look forward to collaborating with you in the near
future.
Kind regards,
Guest Editor
Prof. Dr. Jungong Han
University of Warwick, UK
Prof. Dr. Guiguang Ding
Tsinghua University, China
Read More »

2nd CFP: IEEE/ACM TASLP Special Issue on the Dialog System Technology Challenge (DSTC)

July 16th, 2020 Daniela Lopez de Luise
Call for Papers: IEEE/ACM TASLP Special Issue on the Eighth Dialog System Technology Challenge

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

The Dialog System Technology Challenge (DSTC) is an ongoing series of research competitions for dialog systems. To accelerate the development of new dialog technologies, the DSTCs have provided common testbeds for various research problems. The Eighth Dialog System Technology Challenge (DSTC8) consists of the following four main tracks including two newly introduced tasks and two followup tasks of DSTC7.
  1. Multi-domain task-completion track addresses the end-to-end response generation problems in multi-domain task completion and cross-domain adaptation scenarios. 
  2. NOESIS II: Predicting Responses, Identifying Success, and Managing Complexity in Task-Oriented Dialogue explores a response selection task extending the first NOESIS track in DSTC7 and offers two additional subtasks for identifying task success and disentangling conversations. 
  3. Audio visual scene-aware dialog track is another follow-up track of DSTC7 which aims to generate dialog responses using multi-modal information given in an input video. 
  4. Schema-guided dialog state tracking revisits dialog state tracking problems in a practical setting associated with a large number of services/APIs required to build virtual assistants in practice.
This special issue will host work on any of the DSTC8 tasks. Papers may describe entries in the official DSTC8 challenge, or any research utilizing DSTC8 datasets irrespective of the participation in the official challenge. We also welcome papers that analyze the DSTC8 tasks or results themselves. Finally, we also invite papers on previous DSTC tasks as well as general technical papers on any dialog-related research problems.
You can get the author guide from the following link: https://signalprocessingsociety.org/publications-resources/information-authors
For any query regarding this special issue please contact seokim@dstc.community.
Important Dates
  • Manuscript submission date: August 15, 2020 
  • First Review Completed: October 15, 2020 
  • Revised Manuscript Due: November 30, 2020 
  • Second Review Completed: January 15, 2021 
  • Final Manuscript Due: February 28, 2021 
  • Expected publication date: May 2021
Guest Editors
  • Seokhwan Kim, Amazon Alexa AI, USA
  • Hannes Schulz, Microsoft Research Montreal, Canada 
  • Chulaka Gunasekara, IBM Research AI, USA 
  • Chiori Hori, Mitsubishi Electric Research Laboratories (MERL), USA 
  • Abhinav Rastogi, Google Research, USA 
  • Luis Fernando D'Haro, Universidad Politécnica de Madrid (UPM), Spain


Read More »

First CfP for the Second Edition of Video Processing for Human Behavioral Analysis (VP-HBA) Track at 36th ACM-SAC 2021 in Gwangju, Korea

July 16th, 2020 Daniela Lopez de Luise

 

Call for Papers

Video Processing for Human Behavioral Analysis (VP-HBA) Track

http://phuselab.di.unimi.it/VP-HBA2021/

 

Motivations and topics

The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2021 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Gwangju, Korea. The Second Edition of the technical track on Video Processing for Human Behavioral Analysis (VP-HBA) will be organized in SAC 2021.

The automated understanding of a wide range of human activities from visual as well as multimodal data still remains a source of challenging topics. This track mainly intends to focus on all aspects of computer vision, pattern recognition and machine intelligence devoted to the automatic analysis of human behavior by applying recent or novel video and multimodal data processing techniques.

 

The scope of VP-HBA includes, but is not limited to, the following topics:

–  Human behavior analysis from visual and multimodal information

–  Information fusion for the analysis of human behavior

–  Affective computing and interaction

–  Cognitive interaction understanding

–  Visual attention models and systems

–  Crowd and social behavior understanding

–  Human and group action recognition

–  Human-machine interaction

–  Databases for human-human interaction

–  Scene understanding

–  Automatic tracking in videos

–  Social networks analysis

–  Modeling and simulation of human interactions

–  Multimodal dyadic interaction

–  Artificial intelligence for human interaction analysis

–  Pervasive computing for human interaction understanding

–  Computer vision for health emergencies

–  Gesture and gait analysis

–  Applications of behavior analysis methods, e.g., in medicine, sports and games, well-being, security, environment

 

Submission Guidelines

Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review.

Please, visit the website for more information about submission

 

SAC No-Show Policy 

Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library.

 

Important Dates

Submission of regular papers: September 15, 2020

Notification of acceptance/rejection: November 10, 2020

Camera-ready copies of accepted papers: November 25, 2020

SAC Conference: March 22 – 26, 2021

 

Donatello Conte

Giuliano Grossi

Jianyi Lin

Jean-Yves Ramel

(General chairs)

 

 

 

Read More »

ANNPR 2020 (ONLINE): Program ready, early registration ends July 31!

July 16th, 2020 Daniela Lopez de Luise

ANNPR 2020 (https://annpr2020.ch/), the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, will be held from September 2nd-4th, 2020, organized by Zurich University of Applied Sciences ZHAW (Winterthur, Switzerland).

 

Due to the COVID-19 situation, ANNPR 2020 will take place as online event. We are going to create an immersive and engaging virtual conference experience for our participants and sponsors.

 

The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are Jürgen Schmidhuber (The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel), Bernd Freisleben (University of Marburg, Germany) and Pascal Paysan (Varian Medical Systems).

 

In addition, there will be a dedicated applied research/industry session featuring a sponsored keynote, applied research presentations and virtual industry exhibits / booths / demos, which will provide networking opportunities.

 

The full conference program is now available at https://annpr2020.ch/program/

 

Registration, at significantly lower fees than planned, is open. Early bird registration at reduced fee is available until July 31!

 

Every registered participant will receive a printed copy of the conference proceedings, published by Springer LNCS, free of charge.

 

We look forward to an exciting workshop and to welcoming you virtually from Winterthur!

 

Dr. Frank-Peter Schilling (chair)

Prof. Dr. Thilo Stadelmann (co-chair)

 

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult