VISART VIII – Extended Deadline 29th June – ECCV 2026 workshop

June 23rd, 2026 Daniela Lopez de Luise
Vision for Art and Culture (VISART) VIII
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8th Workshop on Computer VISion for ART and Culture
In conjunction with the 2026 European Conference on Computer Vision (ECCV),
Malmö, Sweden
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IMPORTANT DATES
Full & Extended Abstract Paper Submission: June 24th 2026 
Extended Deadline for Full & Extended Abstract Paper Submission: June 29th 2026 
Notification of Acceptance: August 5th 2026
Camera-Ready Paper Due: August 15th 2026
Workshop: September 8th/9th 2026
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Following the success of previous editions of the Workshop on VISion for ART (2012, ’14, ’16, ’18, ’20, ’22, ’24), we present VISART VIII. VISART continues as a forum for the presentation and publication of Computer Vision techniques for the understanding of art and culture. The growth of generative art, large-scale digitisation, and digitally born artworks underscores the importance of research at the intersection of Computer Vision and Art. This includes methods for reasoning about visual material, connecting vision and language, and structuring data across art and cultural heritage.
As with the prior edition, VISART VIII offers two tracks:
1. Computer Vision for Art & Culture – technical work (standard ECCV submission, 14 page excluding references, appearing in proceedings)
2. Uses and Reflection of Computer Vision for Art (Extended abstract, 4 page, excluding references, NOT appearing in proceedings)
The recent explosion in the digitisation of artworks highlights the concrete importance of application in the overlap between CV and art; such as the automatic indexing of databases of paintings and drawings, or automatic tools for the analysis of cultural heritage. Such an encounter, however, also opens the door both to a wider computational understanding of the image beyond photo-geometry, and to a deeper critical engagement with how images are mediated, understood or produced by CV techniques in the `Age of Image-Machines' (T. J. Clark). Submissions to our first track should consist of technical papers consistent with ECCV style; whereas, our second track encourages critical essays or extended abstracts from art historians, artists, cultural historians, media theorists and computer scientists.
The purpose of this workshop is to bring together leading researchers in the fields of computer vision and the digital humanities with art and cultural historians and artists, to promote interdisciplinary collaborations, and to expose the hybrid community to cutting-edge techniques and open problems on both sides of this fascinating area of study.
This workshop in conjunction with ECCV 2026, calls for high-quality, previously unpublished, works. Submissions for both tracks should conform to the ECCV 2026 proceedings style and will be double-blind peer-reviewed by at least three reviewers. However, extended abstracts will not appear in the conference proceedings. Papers must be submitted online through the OpenReview submission system at: https://openreview.net/group?id=thecvf.com/ECCV/2026/Workshop/VISART#tab-your-consoles
TOPICS include but are not limited to:
– Art History and CV 
– Cultural heritage and CV
– Multimodality and Visual Culture 
– Generative art practices
– Video, film and moving image analysis
– Critical perspectives on computer vision and art
– Interactive XR/Interfaces for GLAMs
– Search and Discover in arts & culture
– Datasets and benchmarks for arts & culture
– Vision Language models for arts & culture
– 3D reconstruction in heritage and archaeology
– Human in the loop for cultural analysis
ORGANIZERS:
Piera Riccio, University of Amsterdam
Eva Cetinic, University of Zurich
Amanda Wasielewski, Uppsala University
Nanne van Noord, University of Amsterdam
Peter Bell, University of Marburg
Stuart James, Durham University
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AGCS26 Call for Papers [July 1, 2026] (Oct 27-30, Paris, France)

June 23rd, 2026 Daniela Lopez de Luise
The International Conference on Agentic, Generative, and Cognitive AI Systems (AGCS 2026)
📍27–30 October 2026 | Paris, France | Hybrid
Join us for AGCS 2026, a leading international forum bringing together researchers and practitioners to advance agentic intelligence, generative models, and cognitive AI systems.
Technically Co-Sponsored by IEEE France Section, IEEE Computer Chapter, IEEE Computational Intelligence Chapter
 
🗓 Submission Deadline: 30 June 2026
👉 SUBMIT YOUR PAPER NOW: https://conferences.sparcly.ai/AGCS2026
Hosted by 4 leading institutes in Paris:
ESIEA, Sorbonne University, CY Cergy Paris Université, and Université Paris 8
The Conference Tracks:
Track 1: Agentic AI Systems
Track 2: Generative AI and Foundation Models
Track 3: Cognitive AI and Neural-Symbolic Systems
Track 4: AI Ethics, Safety, and Alignment
Track 5: AI Applications and Impact
Important Dates
Full Paper Submission Date: July 1, 2026,
Notification to Authors: August 29, 2026
Camera Ready Submission: September 15 2026
Why Paris?
Paris is a global hub for science, technology, and culture, making it the perfect backdrop for AGCS 2026. With its rich history, world-class institutions, and vibrant AI ecosystem, the city provides an inspiring setting for intellectual exchange and networking. We look forward to welcoming you to the City of Light for a week of learning, discovery, and collaboration.
WHY SUBMIT TO AGCS 2026?
🎯 Focused Venue — The first and leading conferences dedicated entirely to Agentic, Generative, and Cognitive AI Systems
🤝 Academia + Industry — Strong collaboration with leading companies
🏆 Awards & Support — Best paper awards + GPU credits (FLOWER and NVIDIA)
📈 Extended papers will be invited to Q1 Journals
🌍 High Visibility — IEEE-indexed proceedings
Best Regards,
Sébastien Thuau
PhD Student
ESIEA & CY Cergy Paris Université

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FLTA26 Call for Papers [July 1, 2026] (Oct 27-30, Paris, France)

June 23rd, 2026 Daniela Lopez de Luise
 
We hope to welcome you to the Federated Learning Conference FLTA 2026!, Paris!  
The 4th IEEE International Conference on Federated Learning Technologies and Applications (FLTA 2026)
27-29 October 2026 | Paris, France | Hybrid Conference
Technically Co-Sponsored by IEEE France Section, IEEE Computer Chapter, IEEE Computational Intelligence Chapter
🗓 Submission Deadline: 01 July 2026
Also
The International Conference on Agentic, Generative, and Cognitive AI Systems (AGCS 2026)
FLTA 2026 is hosted by 4 leading institutes in Paris:
ESIEA, Sorbonne University, CY Cergy Paris Université, and Université Paris 8
LEADERSHIP & PARTNERS
Honorary Chair and keynote: Brendan McMahan (Google)
Industry Chairs: Holger Roth (NVIDIA), Nic Lane (University of Cambridge / Flower Labs)
Industry Partners:
Flower Labs, UK
NVIDIA (FLARE), USA
Google Cloud, USA
Scaleout (FEDn framework)
Topics of interest:
FLTA 2026 welcomes contributions that advance research and innovation in distributed, collaborative, and secure AI systems. Submissions are encouraged from a broad range of interdisciplinary topics, both theoretical and application-driven, including but not limited to:
Federated Learning Technologies  
Distributed and Collaborative Intelligence
Privacy-Preserving and Secure AI
Data Heterogeneity and Distribution Challenges
Communication Efficiency and Scalability
Edge-Cloud Continuum and Heterogeneous Systems
Fairness, Bias, and Anomaly Detection in Federated Learning
Real-world applications and Domain-Specific Implementations
Cross-Disciplinary and Emerging Trends
FL Software engineering and Architectural approaches  
We also encourage submissions exploring cross-sector collaborations, case studies, and experimental results demonstrating distributed AI's effectiveness in real-world scenarios.
👉 SUBMIT YOUR PAPER NOW: https://conferences.sparcly.ai/FLTA2026
 
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ECCV2026 inspired Computer Vision workshop (HCV 2026)

June 23rd, 2026 Daniela Lopez de Luise
Please distribute among interested colleagues

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Call for Papers

3rd Workshop on Human-inspired Computer Vision

8th or 9th September 2026

ECCV 2026, Malmö, Sweden https://sites.google.com/view/hcvworkshop2026

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AIMS AND SCOPE

The primary goal of the Human-Inspired Computer Vision (HCV) workshop is to bridge the gap between machine perception and biological systems by integrating findings from neuroscience, psychology, and cognitive science.

Although modern computer vision achieves impressive results in many tasks, it still lacks the robustness and contextual flexibility inherent to human vision, and the relationship between artificial and human vision remains unclear.

Investigating such a relationship is timely and important for two reasons:

Improving machine vision: Insights from psychology, cognitive science, and neuroscience can inform current research towards developing computer vision models that operate in a human-like fashion. This cross-disciplinary approach can help us systematically identify and tackle the performance and generalization gaps between humans and machines in key research areas.

Understanding and enhancing human vision: Modeling biological vision is a hot topic in computational cognitive neuroscience. By developing interpretable computer vision models, we create powerful tools to explain neuroscientific and behavioral observations and to enhance human vision and cognition, e.g. in the presence of sensory or neurodevelopmental disorders.

TOPICS

We encourage the submission of research outcomes at the intersection of computer vision with neuroscience and cognitive science, as well as new dataset benchmarks related to the topics listed below.

Computational Vision

  • Biomimetic vision systems

  • Building on visual representations (e.g., internal motivation, intention, and curiosity)

  • Cortical networks of visual recognition

  • Neuronal dynamics and image processing

  • Probabilistic inference and Bayesian priors in visual perception

  • Computational models of visual attention and applications

  • Automated image aesthetics

  • Multi-modal sensory fusion and modulation for vision

  • Visual motion processing and human tracking behavior

Biological Vision

  • Bioinspired vision sensing

  • Retinal processing: from biology to models and applications

Cognitive Aspects

  • Adaptive systems

  • Cognitive architectures

  • Memory modulation in vision

  • Understanding and modeling vision in a social context

  • Planning and motor control for vision

KEYNOTE SPEAKERS

  • Pietro Perona – Caltech, USA

  • Thomas Serre – Brown University, USA
  • Gemma Roig – Goethe University Frankfurt, Germany
  • Vicky Kalogeiton – CNRS, France

IMPORTANT DATES

Regular Paper Submission (Archival Track): June 26th, 2026 extended to July 10th 2026 (23:59 AoE)

Extended Abstract Submission (Non-Archival Track): August 14th, 2026

SUBMISSION GUIDELINES

The workshop includes an archival track and a non-archival track. Accepted papers of both tracks will be presented during the workshop.

Papers must be prepared according to the ECCV 2026 template and submitted as PDF documents, following ECCV Submission Policies.

At the time of submission, authors must indicate to which track the paper is submitted.

Only papers accepted to the archival track will be published in the ECCV workshop proceedings.

SPECIAL ISSUE

Following the success of the previous edition, accepted workshop papers will be invited to submit an extended version to a dedicated

Special Issue on the International Journal of Computer Vision (IJCV), published by Springer Nature.

ORGANIZING COMMITTEE

  • Lucia Schiatti (University of Genoa – Italian Institute of Technology, Italy)

  • Mengmi Zhang (Nanyang Technological University, Singapore)

  • Yen-Ling Kuo (University of Virginia, USA)

  • Vittorio Cuculo (University of Modena and Reggio Emilia, Italy)

  • Andrei Barbu (Amazon, USA)

For more details, please visit https://sites.google.com/view/hcvworkshop2026


                                

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): Last Call for Replications and Negative Results

							
 June 23rd, 2026  Daniela Lopez de Luise 

			
							

                                								


















*** Last Call for Replication and Negative Results ***


 


37th IEEE International Symposium on Software Reliability Engineering 


(ISSRE 2026)


 


October 20-23, 2026, 5* St. Raphael Resort and Marina


Limassol, Cyprus


 



The Replications and Negative Results (RENE) Track has been introduced in the software 


engineering community for a while and received overwhelmingly positive feedback. This


year, we establish this track at ISSRE and invite researchers to (1) replicate results from 


previous papers and (2) publish studies with important and relevant negative or null


results (results that fail to show an effect, yet demonstrate the research paths that did not 


pay off).


 


We also encourage the publication of the negative results or replicable aspects of 


previously published work. For example, authors of a published paper reporting a working


solution for a given problem can document in a “negative results paper” other (failed) 


attempts they made before defining the working solution they published.


 


• Replication studies. The papers in this category must  go beyond simply re-


implementing an algorithm and/or re-running the artifacts provided by the original paper.


Such submissions should at least apply the approach to new data sets (open-source or 


proprietary). A replication study should clearly report on results that the authors were


able to replicate, as well as on the aspects of the work that were not replicable. 


• Negative results papers. We seek papers that report  on negative results. We seek 


negative results for all types of program comprehension research in any empirical area 


(qualitative, quantitative, case study, experiment, etc.). For example, did your controlled 


experiment not show an improvement over the baseline? Even if negative, results obtained


are still valuable when they are either not obvious or disprove widely accepted wisdom.


Evaluation Criteria


 


Both Replication Studies and Negative Results submissions will be evaluated according to


the following standards:


• Depth and breadth of the empirical studies


• Clarity of writing


• Appropriateness of conclusions


• Amount of useful, actionable insights


• Availability of artifacts


• Underlying methodological rigor. A negative result due primarily to misaligned 


expectations or due to lack of statistical power (small samples) is not a good submission. 


The negative result should be a result of a lack of effect, not a lack of methodological


rigor.


 


Most importantly, we expect replication studies to clearly point out the artifacts upon 


which the study is built, and to provide the links to all the artifacts in the submission (the 


only exception will be given to those papers that replicate the results on proprietary 


datasets that can not be publicly released).


Submission Instructions


 


Submissions must be original, in the sense that the findings and writing have not been 


previously published or under consideration elsewhere. However, as either replication 


studies or negative results, some overlap with previous work is expected. Please make 


clear in the paper the overlap with and difference from previous work.


 


All submissions must be in PDF format and conform, at time of submission, to the IEEE 


Computer Society Format Guidelines:



 


Authors are strongly encouraged to print the PDF and review it for integrity (fonts, 


symbols, equations, etc.) before submission, as defective printing can undermine a


paper’s chance of success. By submitting to the ISSRE RENE Track, authors acknowledge 


that they are aware of and agree to be bound by the IEEE Plagiarism FAQ. In particular, 


papers submitted to the RENE track must not have been published elsewhere and must not


be under review or submitted for review elsewhere whilst under consideration for ISSRE 


2026. Contravention of this concurrent submission policy will be deemed a serious breach


of scientific ethics, and appropriate action will be taken in all such cases. To check for 


double submission and plagiarism issues, the chairs reserve the right to (1) share the list


of submissions with the PC Chairs of other conferences with overlapping review periods 


and (2) use external plagiarism detection software, under contract to the IEEE, to detect 


violations of these policies.


 


Submissions to the RENE Track can be made via the ISSRE RENE track submission site： 



Submission Length: The ISSRE  RENE Track accepts submissions of two lengths:


 


(1) New replication studies and new descriptions of negative results should have a length 


of up to 10 pages, plus 2 pages which may only contain references.


 


(2) Negative results documented during the preparation of previously published work by 


the authors should be described in up to 5 pages, plus 1 page, which may only contain 


references (e.g., as previously mentioned, authors of a published paper can document 


negative results they obtained while working on it, such as methodologically sound 


solutions that did not work).


 


Important note 1: Both types  of papers (replication and negative results) will be included 


as part of the main conference proceedings.


Important note 2: The RENE  track does not follow a double-anonymous review process.


Publication and Presentation


 


Upon notification of acceptance, all authors of accepted papers will receive further 


instructions for preparing the camera-ready versions of their submissions. If a submission


is accepted, at least one author of the paper is required to have a full registration for ISSRE


2026, attend the conference, and present the paper in person. All accepted papers will be 


published in the conference electronic proceedings. The presentation is expected to be 


delivered in person, unless this is impossible due to travel limitations (e.g., related to 


health or visa). Details about the presentations will follow the notifications.


 


The official publication date is the date the proceedings are made available in the IEEE 


Digital Libraries. The official publication date affects the deadline for any patent filings 


related to published work.


 


Purchases of additional pages in the proceedings are not allowed.


Important Dates (AoE)


 


• Submission deadline: July 5, 2026


• Notification of acceptance: August 12, 2026


• Camera-ready copy submission: August 19, 2026


• Author registration deadline: August 19, 2026


Organisation


 


General Chairs


• Leonardo Mariani, University of Milano – Bicocca, Italy


• George A. Papadopoulos, University of Cyprus, Cyprus


 


Program Coordinator


• Roberto Natella, GSSI, Italy


 


Research Program Committee Chairs


• Domenico Cotroneo, UNC Charlotte, USA


• Jie M. Zhang, King's College London, UK


 


Industry Program Chairs


• Jinyang Liu, Bytedance, USA


• Sigrid Eldh, Ericsson AB, Sweden


 


Workshop Chairs


• Georgia Kapitsaki, University of Cyprus, Cyprus


• August Shi, The University of Texas at Austin, USA


 


Doctoral Symposium Chairs


• Stefan Winter, LMU Munich, Germany


• Lili Wei, McGill University, Canada


 


Fast Abstract Chairs


• Luigi Lavazza, University of Insubria, Italy


• Yintong Huo, SMU, Singapore


 


JIC2 Chair


• Helene Waeselynck, LAAS-CNRS, France


 


Publicity Chairs


• Allison K. Sulivan, The University of Texas at Arlington, USA


• Jose D'Abruzzo Pereira, University of Coimbra, Portugal 


 


Publication Chairs


• Sherlock Licorish, Otago Business School, New Zealand


• Maria Teresa Rossi, GSSI, Italy


 


Artifact Evaluation Chairs


• Naghmeh Ivaki, University of Coimbra, Portugal


• Fumio Machida, University of Tsukuba, Japan


 


Diversity and Inclusion Chair


• Eleni Constantinou, University of Cyprus, Cyprus


 


Financial Chair


• Costas Pattichis, University of Cyprus, Cyprus


 


Web Chairs


• Michalis Ioannides, Easy Conferences LTD


• Elena Masserini, University of Milano – Bicocca, Italy


 


Registration Chair


• Easy Conferences LTD















                                

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