Fwd: [CVML] Call for Papers – Visual Perception enabling Autonomous Navigation (VP-NAV) | Image and Vision Computing 

October 21st, 2026 Daniela Lopez de Luise
We are pleased to invite submissions to the Special Issue “Visual Perception enabling Autonomous Navigation (VP-NAV)” of Image and Vision Computing. 
 
Autonomous navigation is playing an increasingly important role across intelligent transportation, environmental monitoring, smart agriculture, service robotics, and industrial automation. Visual perception represents a key enabling technology, allowing autonomous systems to sense, interpret, and interact with complex and dynamic environments. This Special Issue focuses on recent advances in visual perception technologies supporting autonomous navigation, including onboard and infrastructure-based sensing, robust scene understanding, multimodal perception, real-time processing, and collaborative sensing across distributed systems. 
 
Topics of interest include, but are not limited to:
* Visual perception systems for autonomous vehicles, mobile robots, drones, and automated machinery;
* Object detection, tracking, classification, and scene understanding for navigation;
* Multi-modal sensor fusion (e.g., combining vision with LiDAR, radar, and IMU) for autonomous navigation;
* Learning-based perception systems (e.g., deep learning and foundation models) for autonomous navigation;
* Distributed visual sensing in smart cities, factories, and agricultural fields;
* Vision-based SLAM, mapping, and localization in dynamic or unstructured environments;
* Real-time perception and edge computing for onboard and distributed systems;
* Collaborative and V2X-enabled perception between vehicles, robots, and infrastructure;
* Visual perception for service and assistive robotics in indoor and semi-structured environments;
* Robust visual perception under challenging conditions (e.g., poor lighting, adverse weather, and occlusions);
* Data generation, simulation environments, and benchmark datasets for training and evaluation.
 
Manuscript Submission
The Special Issue is open for submissions from September 1, 2026, to December 31, 2026. Manuscripts must be submitted through the Elsevier submission system for Image and Vision Computing. During the submission process, authors should select the article type: “VSI: VP-NAV”. All manuscripts will undergo the journal's standard peer-review process and will be evaluated according to originality, significance, technical quality, and clarity. Authors are requested to prepare their manuscripts in accordance with the Image and Vision Computing Guide for Authors and the journal's editorial requirements. Accepted articles will be made available online following acceptance and will be published in a regular issue of the journal while also being simultaneously collected within the online Special Issue. Official information regarding the Special Issue, manuscript preparation, and submission procedure is available through the ScienceDirect Special Issue page and the Image and Vision Computing submission platform.
 
Guest Editors
Antonio Greco – Executive Guest Editor – Tenure-Track Associate Professor
University of Salerno, Italy
 
Modesto Castrillón-Santana – Guest Editor – Full Professor
Universidad de Las Palmas de Gran Canaria, Spain
 
Giovanna Castellano – Guest Editor – Full Professor
University of Bari – Aldo Moro, Italy
 
Bruno Vento – Guest Editor – Post-doc Researcher
Consorzio Interuniversitario Nazionale per l’Informatica, Italy
 
We look forward to receiving your contributions and would appreciate your help in sharing this CFP with colleagues and researchers who may be interested in the Special Issue.
 
Best regards,
The Guest Editors
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Emerging Trends in Smart Waste Monitoring and Environmental Surveillance

October 21st, 2026 Daniela Lopez de Luise
𝗖𝗔𝗟𝗟 𝗙𝗢𝗥 𝗣𝗔𝗣𝗘𝗥𝗦
We are pleased to announce the Topical Collection “𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗦𝗺𝗮𝗿𝘁 𝗪𝗮𝘀𝘁𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝗮𝗹 𝗦𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲.”
 
𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗹𝗶𝗻𝗸: https://link.springer.com/journal/521/updates/27851508
 
Waste management, illegal dumping, and environmental pollution require increasingly intelligent monitoring solutions. Recent advances in artificial intelligence and computer vision offer promising opportunities, although key challenges remain, including robustness across diverse environments, limited datasets and benchmarks, and deployment on resource-constrained systems. The Topical Collection provides a forum for researchers and industry professionals to present novel methods, datasets, benchmarks, and real-world applications in smart waste monitoring, illegal dumping detection, and pollution surveillance, while fostering interdisciplinary collaboration.
 
Topics of interest include:
– Waste detection and classification from images;
– Waste tracking and management from videos;
– Illegal dumping detection through computer vision;
– Multimodal systems for dumping identification;
– Remote sensing and UAV-based waste monitoring;
– Image and video analysis for pollution monitoring;
– Datasets and benchmarks;
– Real-world applications in urban and rural environments.
 
𝗚𝘂𝗲𝘀𝘁 𝗘𝗱𝗶𝘁𝗼𝗿𝘀:
Prof. Carlo Sansone
University of Naples Federico II, Naples, Italy.
 
Prof. Antonio Greco
University of Salerno, Fisciano, Italy.
 
Dr. Bruno Vento
Consorzio Interuniversitario Nazionale per l’Informatica, Rome, Italy.
 
Submission deadline: 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿 𝟯𝟬, 𝟮𝟬𝟮𝟲.
 
Manuscripts must be submitted through the journal’s “Submit manuscript” button. During the “Additional Information” step, authors should select “TC: Emerging Trends in Smart Waste Monitoring and Environmental Surveillance.”
 
We would be grateful if you could share this CFP with colleagues, research groups, and industry partners who may be interested.
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24th European Semantic Web Conference (ESWC 2027): First Call for Contributions

October 21st, 2026 Daniela Lopez de Luise
*** First Call for Contributions ***

24th European Semantic Web Conference (ESWC 2027)

May 23-27, 2027, 5* St. Raphael Resort and Marina, Limassol, Cyprus

The European Semantic Web Conference (ESWC) is a major venue for academic research
and developments in the area of the Semantic Web and Knowledge Graphs. As in previous
years, ESWC 2027 will feature a number of tracks (please refer to the webpage of each
track for detailed information about topics of interest, submission instructions, important
dates, etc).
Call for Papers: Research Track

The research track of ESWC 2027 is looking for contributions addressing theoretical,
analytical, and empirical aspects of the Semantic Web, knowledge graphs and semantic
technologies in general and their relation with AI. We also encourage contributions at the
intersection of these domains and other scientific disciplines. Submissions to the research
track should describe novel, significant research, and are expected to provide a principled
evaluation.
Call for Papers: Resources Track

The ESWC 2027 Resources Track seeks to highlight resources that are not only novel and
groundbreaking, but also designed to be shared, reused, and to directly facilitate the
production of scientific knowledge
Call for Papers: In-Use Track

The In-Use track of ESWC 2027 is looking for contributions that apply state-of-the-art
semantic technologies or resources in real-world settings.
Call for Papers: Industry Track

The ESWC industry track is a forum for exchanging ideas, results, and lessons learned
amongst Semantic Web researchers, technologists, and product leaders across industry
and academia. The goal is to learn from the process of bringing cutting-edge Semantic
Web research to state-of-the-art applications and to align current research efforts with
existing real-world requirements that justify the adoption of novel approaches in the face
of otherwise unfeasible challenges.
Call for Papers: Project Networking Track

The Project Networking track of ESWC offers an excellent opportunity for research projects
to connect, collaborate, and engage in meaningful discussions about their development
and outcomes. This track encourages the sharing of knowledge and technology, and it
helps to identify complementary activities and goals, laying the groundwork for future
collaborations, joint research proposals, researcher exchanges, or collective participation
in events and initiatives.
Call for Posters and Demos

The Posters and Demos Track of the Extended Semantic Web Conference (ESWC) 2027
welcomes submissions of presenting late-breaking results, ongoing research, innovative
ideas, and early-stage prototypes within the Semantic Web domain. This track encourages
discussions and interaction between researchers and practitioners, facilitating feedback on
emerging work and demonstrations of cutting-edge technologies.
Call for Workshop Proposals

Co-located workshops at the ESWC conferences are essential meeting points for
discussing ongoing work and current results, as well as shaping new ideas and research
fields. We particularly invite workshop proposals looking at topics related to Semantic
Web from an interdisciplinary standpoint, proposals focussing on novel aspects of the
Semantic Web and Web of Data, and proposals aiming at gathering existing and forming
new sub-communities.
Call for Tutorial Proposals

ESWC 2027 invites tutorials that address the interests of its varied audience: people new
to the Semantic Web, Semantic Web researchers and practitioners that wish to learn new
technologies, users of Semantic Web technologies, and representatives of government
and funding agencies as well as potential private investors in Semantic Web technologies.
Call for Ph.D. Symposium

The ESWC 2027 Ph.D. Symposium is a forum for Ph.D. students working in all areas of
Semantic Web and Knowledge Graph research to present their work, meet with peers and
experienced researchers, receive feedback, and learn from each other’s experiences. It
aims at supporting Ph.D. students to develop the skills required to conduct and promote
their research, and providing them with an opportunity to attend one of the most
important conferences in the Semantic Web area.
General Submission Guidelines

Please refer to the particular call for the track of your interest for information particular to your track.
● All submissions must be in English.
● Submissions must be in PDF. Springer Publications expects the LaTeX source for the
camera ready.
● Submissions must be formatted in the style of the Springer Publications format for
Lecture Notes in Computer Science (LNCS). For details on the LNCS style:
● Submissions must clearly demonstrate relevance to the Semantic Web and the topics of
interest of ESWC 2027. Papers that exceed the given page length or do not follow the
LNCS guidelines will be desk rejected without review.

Submission Link for all types of contributions:

Accepted contributions to ESWC will be published by Springer in LNCS.
Important Dates

Please refer to the particular call for the track of your interest for important dates pertaining to the relevant track.
Organisation

General Chair
● Raphael Troncy, EURECOM, France

Local Organiser
● George A. Papadopoulos, University of Cyprus

Research Track Chairs
● Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France
● Olaf Hartig, Linköping University, Sweden

Resources Track Chair
● Pasquale Lisena, EURECOM, France

In-Use Track Chair
● Maria Maleshkova, Universität der Bundeswehr Hamburg, Germany

Industry Track Chair
● Yoan Chabot, Orange, France

PhD Symposium & Student Mentoring Chairs
● Pieter Colpaert, Ghent University – IMEC, Belgium
● Marieke van Erp, KNAW Humanities Cluster, The Netherlands

Poster and Demo Chairs
● Tabea Tietz, FIZ, Karlsruhe Institute of Technology, Germany
● Sanju Tiwari, Sharda University, India

Sponsor Chairs
● John Domingue, KMi, The Open University, UK
● Anna Lisa Gentile, IBM Research, USA

Publicity Chair
● Maaike de Boer, TNO, The Netherlands

Web Chair
● Thibault Ehrhart, EURECOM, France
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AICES 2027: early registration October 27

October 21st, 2026 Daniela Lopez de Luise
 
2nd INTERNATIONAL SCHOOL ON HUMAN-AI COLLABORATION IN THE ERA OF AGENTIC AI
 
AICES 2027
 
Bilbao, Spain
 
May 3-6, 2027
 
 
********************************************************
 
Co-organized by:
 
University of Deusto
 
IRDTA – Institute for Research Development, Training and Advice
 
********************************************************
 
Early registration: October 27, 2026
 
********************************************************
 
SCOPE
 
The rapid emergence of agentic AI systems capable of planning, reasoning, making decisions and acting with increasing autonomy is transforming the relationship between humans and intelligent machines. Understanding how humans and AI agents can collaborate effectively, safely and responsibly has therefore become a major scientific, technological and societal challenge.
 
AICES 2027 will address this challenge from a broad interdisciplinary perspective, bringing together leading researchers and experts from academia and industry. The scientific program will examine the societal, cognitive, ethical, economic and governance dimensions of agentic AI, with particular emphasis on human–AI collaboration, trust, human oversight and control, the future of work, regulation and governance, explainability, responsible AI, education, democracy, media ecosystems, economic transformation, and the wider implications of increasingly autonomous AI systems.
 
The school will feature 13 monographic three-hour courses, 2 keynote lectures, 1 round table and 1 symposium.
 
Leading academics and industry experts will share their knowledge, research and perspectives with participants. Interaction, discussion and networking will be central elements of the event, while full live online participation will also be available.
 
ADDRESSED TO
 
AICES 2027 is intended for graduate students, researchers, academics, industry professionals and policymakers from a wide range of disciplines, including computer science, cognitive science, economics, sociology, philosophy, law, public policy and business. There are no formal academic prerequisites, and researchers and professionals at all career stages are welcome.
 
The school will provide participants with an opportunity to gain in-depth knowledge of one of the most rapidly evolving areas of AI, interact with experts from different disciplines, establish new collaborations, expand their professional networks, and explore the profound changes that agentic AI may bring to work, institutions and society.
 
VENUE
 
AICES 2027 will take place in Bilbao, in northern Spain. Once a major industrial centre, Bilbao has undergone a remarkable urban, cultural and economic transformation over recent decades and is today one of Spain's most dynamic cities.
 
The venue will be:
 
University of Deusto

 
STRUCTURE
 
Two/three courses will run in parallel throughout the event. Participants will be free to select the sessions they wish to attend and may move between courses at any time.
 
In addition to the courses and keynote lectures, the program will include a round table and a symposium devoted to current research and industrial developments.
 
All lectures will be video recorded and made available to participants for 45 days after the event.
 
Full live online participation will be possible. Nevertheless, participants are strongly encouraged to attend in person whenever possible, as direct interaction, discussion and networking are essential components of research training events of this kind.
 
KEYNOTE SPEAKERS
 
Eszter Hargittai (University of Zurich), Myths vs. Measures: Digital Inequality and AI Skills
 
Katia Sycara (Carnegie Mellon University), Human-AI: Collaboration rather than Substitution
 
PROFESSORS AND COURSES
 
Ana Bazzan (University of São Paulo), [introductory/intermediate] Autonomous Agents, Multiagent Systems, Swarm Intelligence and Reinforcement Learning: What Are These and Why They Matter in the Current AI Agenda
 
Justine Cassell (Inria Paris), [introductory/intermediate] Building Agents that Collaborate with People rather than Replacing Them
 
Pierre Dillenbourg (Swiss Federal Institute of Technology Lausanne), [introductory] Productive Noise: The Benefits of Misunderstandings in Collaboration
 
Steven Drucker (Particle Prismatics LLC), [introductory/intermediate] Attention Is All You Have: Human-Centered AI in the Agentic Era
 
Peter Flach (University of Bristol), [introductory/intermediate] Classifier Calibration: A Prerequisite for Trustworthy AI
 
James Hollan (University of California San Diego), [intermediate] The Future of HCI: Generative AI, Negotiated Agency, and Co-Adaptive Systems
 
Andreas Holzinger (University of Natural Resources and Life Sciences), [introductory/intermediate] Trustworthy Agentic AI: Human-AI Collaboration, Explainability, and Verifiable Autonomy
 
Jason Hong (Carnegie Mellon University), [introductory/intermediate] Challenges in Human-AI Interaction
 
Christian Lebiere (Carnegie Mellon University), [intermediate] Metacognition and Theory of Mind in Humans and Machines
 
Sijia Liu (Michigan State University), [introductory/advanced] Safety Alignment for AI Agents: From Centralized to Distributed Solutions
 
Simon Parsons (University of Lincoln), [introductory] Agents and Agentic AI
 
Simone Stumpf (University of Glasgow), [introductory/intermediate] Explainable AI (XAI) and Debugging in the Era of Agentic AI
 
Lyle Ungar (University of Pennsylvania), [introductory] From Tools to Teammates: How AI Changes Human Work and Relationships
 
SYMPOSIUM
 
A symposium will give participants, research groups and companies the opportunity to present ongoing research projects, innovative ideas and industrial developments related to the themes of AICES 2027. Presentations will consist of 15-minute oral contributions.
 
Participants interested in presenting should submit a one-page abstract including the title, authors, and a brief summary to david@irdta.eu.
 
Submission deadline: April 19, 2027.
 
ORGANIZING COMMITTEE
 
Pablo García Bringas (Bilbao, Local Chair)
Carlos Martín-Vide (Tarragona, Program Chair)
Santiago Montes (Tarragona, Webpage)
Sara Morales (Luxembourg, Finances)
David Silva (London, Organization Chair)
 
REGISTRATION
 
Registration is available at:
 
 
During registration, participants will be invited to indicate six courses they are particularly interested in attending. This selection is tentative and non-binding and will be used only to estimate demand and facilitate logistical planning.
 
As the capacity of the venue is limited, registrations will be accepted on a first-come, first-served basis. Registration will close once maximum capacity has been reached. Early registration is therefore strongly recommended.
 
FEES
 
Registration fees include access to all school activities and lunches.
 
Several early-registration deadlines are available, with fees depending on the date of payment.
 
Fees are the same for on-site and for online participation.
 
ACCOMMODATION
 
Accommodation suggestions will be made available in due time at:
 
 
CERTIFICATE
 
Participants will receive a certificate documenting 40 hours of academic activities.
 
This certificate should be suitable for participants seeking ECTS or equivalent academic recognition from their home institutions.
 
SPONSORS
 
Companies, institutions and organizations interested in supporting AICES 2027 are invited to consult the sponsorship opportunities available for the event. The sponsorship leaflet can be downloaded from:
 
 
QUESTIONS AND FURTHER INFORMATION
 
 
ACKNOWLEDGMENTS
 
University of Deusto
 
IRDTA – Institute for Research Development, Training and Advice

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Courses How to Build a Deep learning model to detect Ships

October 21st, 2026 Daniela Lopez de Luise

For anyone studying practical computer vision and deep learning deployment:

A frequent challenge in applied vision projects is balancing spatial accuracy against computational overhead during training. Selecting an architecture variant like YOLOv8l provides the parameter capacity necessary to resolve multi-scale objects in clustered environments, but success depends entirely on proper configuration and validation monitoring. This tutorial breaks down the mechanics of training a custom detector from scratch, detailing how loss convergence curves and validation checkpoints guide the selection of deployable weights.

The progression moves methodically from environment initialization to final model inference. It covers dataset re-indexing, parsing raw coordinate tags into standardized label files, executing supervised training runs while monitoring loss metrics, and implementing an OpenCV inference script to handle bounding box coordinates, class labels, and confidence thresholds on unseen imagery.

The Resources:

Reading on Medium.

Detailed written explanation and source code.

Join my Newsletter .

Deep-dive video walkthrough.

This material is published solely for educational purposes. Feel free to leave constructive feedback or questions about threshold tuning and batch performance below.

#ComputerVision #ObjectDetection #PyTorch

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