Live e-Lecture by Professor Dr. Matthew Gombolay: “Explainable and Interactive Robot Learning Systems”, June 7th, 2023 2pm CEST

June 1st, 2023 Daniela Lopez de Luise

Professor Dr. Matthew Gombolay, a prominent AI researcher internationally, will deliver the e-lecture: 

“Explainable and Interactive Robot Learning Systems”, on June 7th, 2023 2pm CEST,

see details in: http://www.i-aida.org/ai-lectures/

 

Location: The seminar will be delivered online via zoom.

https://unitn.zoom.us/j/82021320646

Meeting ID: 820 2132 0646

Passcode: 564616

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

Best regards

Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, , J. Stefanowski

 

Read More »

UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization: Call for Participation

June 1st, 2023 Daniela Lopez de Luise
*** Call for Participation ***

UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization

June 26 – 29, 2023, St. Raphael Resort, Limassol, Cyprus

ACM UMAP – User Modeling, Adaptation and Personalization – is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. The proceedings are published by ACM and will be part of the ACM Digital Library.

UMAP 2023 will feature 104 technical presentations of various categories (main conference papers, large breaking results, demos and posters, etc.). The participants can also attend a number of workshops and tutorials. Finally, the technical program also includes 3 keynote speakers.

More information can be found on the conference web site.

Please note that the early registration deadline has been extended by one week to June 2.
 

Read More »

ONFIRE Contest 2023 – ICIAP 2023

June 1st, 2023 Daniela Lopez de Luise 
ONFIRE Contest 2023 - ICIAP 2023 	 === Call for submissions ===
ONFIRE Contest 2023 International Conference on Image Analysis and Processing ICIAP 2023 Website: https://mivia.unisa.it/onfire2023/ 
========================
=== Important dates ===
Submission Deadline: July 21st, 2023
========================
=== Contest ===
The ONFIRE 2023 contest is an international competition among methods, executable on board of smart cameras or embedded systems, for real-time fire detection from videos acquired by fixed CCTV cameras. To this aim, the performance of the competing methods will be evaluated in terms of fire detection capabilities and processing resources. As for the former, we consider both the detection errors and the notification speed (i.e., the delay between the manually labelled fire start, either its ignition or appearance on scene, and the fire notification). Regarding the latter, the processing frame rate and the memory usage are taken into account. In this way, we evaluate not only the ability to detect fires and avoid false alarms of the proposed approaches, but also their promptness in notification and the computational resources needed for real-time processing. To allow the participants to train their methods, we provide a dataset including 330 videos collected from publicly available fire detection datasets; all the positive video clips will be annotated with the instant in which the fire begins.  The accuracy of the competing methods will be evaluated in terms of Precision and Recall on a private test set composed by unpublished videos that are different from the ones available in the training set (but coherent with them). In addition, the average delay between fire start and notification (over all the true positive videos), the average processing frame rate and the memory usage will be computed (on a target processing device) to evaluate the promptness and the required processing resources of the proposed methods.
========================
=== Rules ===
The deadline for the submission of the methods is 21st July, 2023. The submission must be done with an email in which the participants share (directly or with external links) the trained model, the code and the report. The participants can receive the training set and its annotations by sending an email to onfire2023@unisa.it, in which they also communicate the name of the team. The participants can use these training samples and annotations, but also additional videos. The participants must submit their trained model and their code by carefully following the detailed instructions reported in the website.  The participants are strongly encouraged to submit a contest paper to ICIAP 2023, whose deadline is 28th July, 2023. The contest paper must be also sent by email to the organizers. Otherwise, the participants must produce a brief PDF report of the proposed method. The detailed instructions of the proposed method can be downloaded here: https://mivia.unisa.it/onfire2023/
========================
The organizers, Diego Gragnaniello Antonio Greco Carlo Sansone Bruno Vento

Read More »

Early registration: Invitation to join 2023 Summer ‘Programming short course and workshop on Deep Learning and Computer Vision’, 30 August – 1 September, 2023

June 1st, 2023 Daniela Lopez de Luise

  

you are welcomed to register to the  CVML course on ‘Programming short course and workshop on Deep Learning and Computer Vision’,  30th August – 1st September 2023:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/

 

It will take place at KEDEA Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The course  provides an in-depth presentation of programming tools and techniques for various computer vision and deep learning problems. The target application domains are autonomous systems (e.g., real time object detection) and digital/social media analysis for Natural Disaster Management. The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises. There will be complemented lecture pdfs, to enable you to study at your own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).

 

This course is part of the very successful CVML programming short course and workshop series that has been taking place in the last four years.

 

Course description ‘Programming short course and workshop on Deep Learning and Computer Vision’

 

The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises.

 

Part A will focus on Deep Learning and GPU programming. The lectures of this part provide a solid background on Deep Neural Networks (DNN) topics, notably convolutional NNs (CNNs) and deep learning for image classification.

 

Part B lectures will focus on deep learning algorithms for Perception on Autonomous Systems, namely on 2D object/face detection and 2D object tracking.

Part C lectures will focus on Autonomous Systems in Natural Disaster Management (NDM). The lectures will provide a basic understanding of Real-Time Image Segmentation algorithms.

 

 

Course lectures and programming workshops

 

Part A (8 hours) Deep Learning for Autonomous Systems

 

  1. Deep neural networks – Convolutional NNs.
  2. Knowledge Distillation in Deep Neural Networks.
  3. Programming workshop on Deep neural networks – Convolutional NNs.
  4. Programming workshop on Knowledge Distillation in Deep Neural Networks.

 

Part B (8 hours) Autonomous Systems Perception

 

  1. Real Time Object Detection.
  2. 2D Object Tracking in Embedded Systems.
  3. Programming workshop on Real Time Object Detection.
  4. Programming workshop on 2D Object Tracking in Embedded Systems.

 

Part C (8 hours) Autnomous Systems in Natural Disaster Management

 

  1. Real-Time Image Segmentation.
  2. Natural Language Processing for Natural Disaster Management.
  3. Programming workshop on Real-Time Image Segmentation.
  4. Programming workshop on Natural Language Processing for Natural Disaster Management.

 

 

You can use the following link for course registration:

https://rc.auth.gr/product-list/single-product/127

 

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

 

This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker.  He is the coordinator of the EC funded International AI Doctoral Academy (AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He is Coordinator of the European Horizon2022 R&D project TEMA and he was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 35500+ citations to his work and h-index 86+.

  

Relevant links:
1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
2) Horizon2022 EU funded R&D project TEMA:  https://tema-project.eu/

3) Horizon2022 EU funded R&D project AI4EUROPE:  https://www.ai4europe.eu/

4) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/

5) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/
6) International AI Doctoral Academy (AIDA): http://www.i-aida.org/
7) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/
8) AIIA Lab: https://aiia.csd.auth.gr/ 

 

 

Sincerely yours

Prof. I. Pitas

Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)

Aristotle University of Thessaloniki, Greece

 

 

Read More »

ICIAP 2023 Workshop: 4th International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2023)

June 1st, 2023 Daniela Lopez de Luise
;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial”>===================================================
Call For Papers (apologies for multiple copies)
===================================================

 

 4th International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2023)

The enormous amount of artefacts and information that come from the past is increasingly and rapidly being digitized. However, the useful information contained in these data is not easy to exploit and some kind of analysis is needed. On the other hand, the digital representations of real objects require some kind of manipulation.

Recent machine learning and pattern recognition algorithms give the opportunity to analyze and manipulate the acquired data in order to better exploit the contained information and generate the best digital representation.

The aim of this workshop is to present recent advances in Pattern Recognition (PR) techniques for data analysis and representation in the cultural heritage field. Bringing together the work of many experts in this multidisciplinary subject to highlight these advances from a wide-angle perspective, as well as to stimulate new theoretical and applied research for better characterizing the state of the art in this subject.

The workshop will be held on the 11th or 15th of September 2023 (to be defined), in conjunction with the 22nd International Conference on Image Analysis and Processing (ICIAP2023 – 12th to 14th September 2023 in Udine, Italy) as part of the Digital Humanities Hub, a container that will include several workshops in this macro area.

 

Topics include, but are not limited to the following:

 

·        Digital artifact capture, representation and manipulation

·        Automatic annotation of tangible and intangible heritage

·        Interactive software tools for cultural heritage applications

·        Multimedia music classification and reconstruction

·        Image processing, classification and retrieval

·        Machine Learning for Cultural Heritage

·        Semantic segmentation

·        Serious Game for Cultural Heritage

·        Robotic applications

·        Ontology Learning for cultural heritage domain

 

 

Important Dates

 

Submission deadline:

June 23rd, 2023

Author notification:

July 23rd, 2023

Camera-ready Submission:

July 31st, 2023

Finalized workshop program:

August 1st, 2023

Workshop day:

September 11th or 15th 2023 (to be defined)

 

Proceedings and Special Issue

 

Accepted papers will be included in the ICIAP 2023 Workshop Proceedings, which will be published by Springer in the Lecture Notes in Computer Science (LNCS). All papers to appear in the proceedings must follow the instructions set forth by Springer for the “preparation of proceedings papers published in the LNCS”.

 

Authors of selected high-quality papers will be invited to submit substantially extended versions for a Special Issue in an international journal of at least the Q2 quartile, with which we are still negotiating at the moment.

 

Contact Information

 

Dario Allegra, Università degli Studi di Catania, dario.allegra@unict.it

Mario Molinara, Università di Cassino e del Lazio meridionale, m.molinara@unicas.it

Alessandra Scotto di Freca, Università di Cassino e del Lazio meridionale, a.scotto@unicas.it

Filippo Stanco, Università degli Studi di Catania, filippo.stanco@unict.it

 

Workshop website: http://aida.unicas.it/patrech2023

Dario Allegra, PhD
Assistant professor
University of Catania

IPLab@CT – iplab.dmi.unict.it
Department of Mathematics and Computer Science
Viale A. Doria, 6 – 95125, Catania, Italy

email: dario.allegra@unict.it
tel: +39 095 738 3043

https://www.researchgate.net/profile/Dario_Allegra
https://scholar.google.it/citations?user=ua6QhmQAAAAJ&hl=it

pdf icon CFP_PatReCH2023.pdf
Read More »
« Older Entries
Newer Entries »
Design by 2b Consult