For any questions or further information, please feel free to contact me.
Kind regards,
IEEE LCN 2026 — Call For Demo Papers
July 14th, 2026
Daniela Lopez de Luise 51st Annual IEEE Conference on Local Computer Networks (LCN)
Coimbra, Portugal | October 7–9, 2026
Conference website: https://www.ieeelcn.org
*********************************************************************
Scope
IEEE LCN 2026 will feature a demo session to showcase demonstrations
that validate key research issues and/or demonstrate innovative
prototypes. Authors are invited to submit technical demonstrations (no
more than 3 pages) showing innovative and original research. The authors
are encouraged to highlight the research component of the demo and
explicitly note the novelty of the technology or solution showcased. The
proposal should include a one-page description of what conference
participants will see or experience during the demonstration. IEEE LCN
is seeking demonstrations across all topics covered by the main
conference and/or special tracks held in conjunction with LCN 2026.
Research prototypes and commercial products are welcome.
All accepted papers will be published in the IEEE LCN 2026 Companion
proceedings.
*********************************************************************
Demo Submission and Author Instructions
Demo papers (no more than 3 pages, including references) must be
submitted via EDAS to the LCN Demo Track
(https://www.edas.info/newPaper.php?c=35469&track=135774).
All paper titles must have the prefix “Demo:” (both in the EDAS
submission and the paper PDF); i.e., a title for the demo paper must be
in the following form — “Demo: <PaperTitle>”.
Papers must be submitted electronically to EDAS in PDF format, US Letter
size (not A4), with all fonts embedded (PDF-A standard). Please format
your submission using the IEEE templates found at
https://www.ieee.org/conferences/publishing/templates.html.
Demonstrations will be selected based on their merits and the expected
interest among LCN attendees. All demo papers will be reviewed by the
technical program committee members via the EDAS reviews. The reviews
will be provided to the authors along with the notification.
Accepted papers will be allowed to add one more page for the
camera-ready version. This would allow the accepted paper authors to
address the reviewer comments. The camera-ready version may not exceed 4
pages, including references.
*********************************************************************
Demo Presentation
All accepted demo papers shall be presented. The presentation will be
organized in a parallel session dedicated to a face-to-face demo. Demo
presenters will have the opportunity to perform live demos while
answering audience questions. In addition, authors of accepted demos
will be asked to record a video, which will be made available to
attendees during the conference to best showcase their demo.
The best demo award will go to the demo with the most audience votes.
*********************************************************************
Important dates (tentative)
• Demo submission deadline: July 15, 2026
• Acceptance notification: August 15, 2026
• Final camera ready: September 07, 2026
*********************************************************************
Registration for Demos
For conference registration, a demo is regarded as a paper, i.e.,
• Demo presenters with no accepted conference paper must select “author
registration” when registering for the conference
• Demo presenters with an accepted LCN paper incur an extra charge for a
demo; please select an additional paper for the demo when registering
For each accepted demo, at least one author must register for the LCN
2026 main conference and present their demo during the scheduled demo
session(s). The registration category must include the author's presence
at the demo session.
Please feel free to contact the Demonstration Chair (demos@ieeelcn.org)
with any questions about the demo content or setup.
Kind Regards,
LCN 2026 Organizing Committee
Final deadline extension: HemaRAI Workhsop @ MICCAI 2026
July 14th, 2026
Daniela Lopez de Luise 📅October 1, 2026
🔗 Website: Official Workshop Website
📝Submission Platform: OpenReview
⏳Submission Deadline: Extended to July 15, 2026, 23:59 (GMT)
👥Google Group: HemaRAI Google Group
🔬 Blood smear image segmentation, detection, and classification
🦠 Parasitemia detection and quantification
🤖 Machine and deep learning for hematology imaging
🧠 Foundation models and self-supervised learning for cytology
🌍 Robustness under domain shift
⚖️ Fairness, bias, uncertainty estimation, and explainability
📊 Standardized evaluation protocols and benchmarks
🏥 Clinical translation, quality assurance, and workflow integration
Mr. Luca Zedda, University of Cagliari, luca.zedda@unica.it
Mr. Davide Antonio Mura, University of Cagliari, davide.mura@unica.it
Prof. Cecilia Di Ruberto, University of Cagliari, cecilia.dir@unica.it
Dr. Ario Sadafi, Helmholtz Munich, ario.sadafi@tum.de
Prof. Carsten Marr, Helmholtz Munich, carsten.marr@helmholtz-munich.de
Dr. Ahmed Elnady Elsafty, PathOlOgics, LLC, aelnady777@hotmail.com
Andrea Loddo, on behalf of the
HemaRAI 2026 Organizing Committee
Deadline Extended – RetailVision @ ECCV
July 14th, 2026
Daniela Lopez de Luise We are now accepting paper submissions.
Workshop website: https://retailvisionworkshop.github.io
Workshop date: September 8/9, 2026 — half-day workshop
Location: Malmö, Sweden. Co-located with ECCV 2026
Paper submission: July 17, 2026 23:59 GMT (
Notification of acceptance: August 6, 2026
Camera-ready deadline: August 15, 2026
About the workshop
This is the 7th installment of the RetailVision Workshop, following previous editions at ICCV 2025 and CVPR 2020–2024. The workshop focuses on the unique challenges and opportunities that arise when applying computer vision and artificial intelligence to the retail domain.
The workshop aims to highlight recent progress in these areas and to foster a community around retail-focused computer vision research.
Topics of interest include (but not limited to):
- Product understanding and recognition: Fine-grained product recognition; product categorization; multimodal product understanding; and vision-language models for retail.
- Retail scene and shopper understanding: Shopper–product interaction tracking; shelf monitoring; inventory understanding; and in-store behavior understanding.
- Search, recommendation, and generation: Large-scale visual search and retrieval; recommendation and personalization using visual data; product image and video generation; virtual try-on; and synthetic data generation.
Accepted papers will be included in the official ECCV workshop proceedings, selected papers will be asked to be presented at the workshop as an oral talk and/or a poster.
Invited speakers
The invited speakers currently include:
- Gerard Pons-Moll — University of Tübingen
- Ira Kemelmacher-Shlizerman — University of Washington and Google
- Riccardo Marin — Technical University of Munich
- Gilad Erlich — Trigo Vision
- Yuren Cong — Meta
Organizers
Ehud Barnea — Walmart Global Tech
Yosi Keller — Bar-Ilan University
Marina Paolanti — University of Macerata
Rocco Pietrini — Universitas Mercatorum
Quanfu Fan — Amazon Easy Check-Out Science
Shun Miao — Amazon Easy Check-Out Science
For questions about the workshop, please contact Rocco Pietrini:
rocco.pietrini <at> unimercatorum.it
Call for participation – Toulouse (France) 21, 22, 23 October 2026
July 14th, 2026
Daniela Lopez de Luise ==================================================================
22nd International Conference on Content-based Multimedia Indexing, CBMI 2026
Toulouse, France, October 21-23, 2026
https://cbmi2026.sciencesconf.org/
==================================================================
After 22 successful editions across Europe, the 2026 IEEE International Conference on Content-Based Multimedia Indexing (IEEE CBMI) conference will take place in Toulouse, France, on th 21-23 October 2026.
IEEE CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualisation and analytics.



