DEADLINE APPROACHING – Workshop on HUMAN-OBJECT INTERACTION: INTEGRATING EGOCENTRIC AND EXOCENTRIC PERSPECTIVES

June 17th, 2025 Daniela Lopez de Luise
Workshop on HUMAN-OBJECT INTERACTION: INTEGRATING EGOCENTRIC AND EXOCENTRIC PERSPECTIVES

in conjunction with the International Conference on Image Analysis and Processing (ICIAP) 2025, Rome, Italy

WEBSITE

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

https://sites.google.com/view/hoi-ego-exo-iciap-2025

AIMS AND SCOPE

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

Recent advancements in artificial intelligence (AI) and computer vision have significantly improved our

ability to understand human-object interactions in both egocentric and exocentric perspectives. These

developments have opened new frontiers in behavioural analytics, personalised experiences and

intelligent retail environments, enabling more immersive and context-aware AI-driven applications.

The combination of first-person vision from wearable devices and third-person vision from camerasenables 

comprehensive analysis of user interactions, supporting use cases in user behaviour modelling

and human-centric AI systems. The large-scale adoption of wearable sensors, AR/VR devices and smart

technologies presents new challenges and opportunities for AI. How can egocentric vision contribute

to personalised recommendations? How can ambient vision improve behaviour analysis in complex

settings? What are the best methods to fuse multimodal data from different perspectives to build

adaptive, human-centric AI systems? The goal of this workshop is to encourage and highlight novel

strategies and original research in human-object interaction through egocentric and exocentric vision,

with applications in retail, assistive technologies, smart environments, and AI-driven behavioural

analytics.

TOPICS

=======

The workshop calls for submissions addressing, but not limited to, the following topics:

Long-Term Instance-Based Interaction Understanding

● Methods for discovering and tracking object instances over extended periods in streaming

scenarios.

● Moving beyond short-range, static analyses to holistic, memory-driven AI models.

● Applications in cognitive assessment, smart retail, and personalized AI assistants.

Egocentric Vision for User-Centric Interaction Analysis

● Algorithms and systems utilizing wearable devices (e.g., smart glasses, AR headsets) to capture

first-person perspectives.

● Automatic object discovery, interaction tracking, and formation of symbolic, high-level

memories.

● Applications in personalized shopping experiences, human-aware AI, and immersive retail

engagement.

Exocentric Vision and Contextual Human Behavior Analysis

● Approaches using fixed cameras and environmental sensors to understand group behaviors

and environmental context.

● Retail analytics applications such as customer flow tracking, engagement heatmaps, and store

layout optimization.

● Additional use cases in safety monitoring, workplace behavior analysis, and consumer

interaction modeling.

Fusion of Egocentric and Exocentric Data

● Integration of first-person and third-person viewpoints for a comprehensive analysis of

human-object interactions.

● Overcoming challenges such as occlusions, dynamic backgrounds, and real-world variability.

● AI-driven techniques to enhance behavioral analytics, retail intelligence, and smart

environment adaptation.

Visual Object Tracking Across Wearable and Ambient Domains

● Advances in object tracking algorithms for operation across egocentric and exocentric

perspectives.

● Memory-driven tracking methodologies supporting cognitive training, user behavior

modeling, and AI-powered retail recommendations.

● Applications in personalized shopping, smart commerce, and interactive AI-driven

environments.

IMPORTANT DATES

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

Paper Submission Deadline: June 18th, 2025

Decision to Authors: July 4th, 2025

Camera ready papers due: July 8th, 2025

Workshop date: September 15th or 16th 2025

SUBMISSION GUIDELINES

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

All the papers should be submitted at: https://cmt3.research.microsoft.com/HOIEGOEXO2025

The maximum number of pages is 12 pages including references. While preparing their contributions,

authors must follow guidelines and technical instructions provided by Springer that can be found at:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Papers will be selected through a double-blind review process, taking into account originality,

significance, clarity, soundness, relevance and technical contents.

Each accepted paper must be covered by at least one registered author.

WORKSHOP MODALITY

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

The workshop will be held in conjunction with the International Conference on Image Analysis and

Processing (ICIAP 2025).

ORGANIZING COMMITTEE

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

Matteo Dunnhofer – University of Udine, Italy – matteo.dunnhofer@uniud.it

Giovanni Maria Farinella – University of Catania, Italy – giovanni.farinella@unict.it

Emanuele Frontoni – University of Macerata, Italy – emanuele.frontoni@unimc.it

Antonino Furnari – University of Catania, Italy – antonino.furnari@unict.it

Christian Micheloni – University of Udine, Italy – christian.micheloni@uniud.it

Marina Paolanti – University of Macerata, Italy – marina.paolanti@unimc.it

Read More »

SNAMS-2025 (Co-Sponsored by IEEE ) : The 12th International Conference on Social Networks Analysis, Management and Security, Vienna, Austria, November 25-28, 2025.

June 17th, 2025 Daniela Lopez de Luise
;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px”>SNAMS 2025 Joint Workshops

The 13th International workshop on Big Data and Social Networking Management and Security (BDSN 2025)
http://emergingtechnet.org/SNAMS2025/Workshops/BDSN2025/ 

The 9th International Workshop on Data Science Engineering and its Applications (DSEA 2025)
http://emergingtechnet.org/SNAMS2025/Workshops/DSEA2025/ 

The 11th International Workshop on Online Social Networks Technologies (OSNT 2025)
http://emergingtechnet.org/SNAMS2025/Workshops/OSNT2025/ 

The 9th International Workshop on Advances in Natural Language Processing (ANLP 2025)
http://emergingtechnet.org/SNAMS2025/Workshops/ANLP2025/ 

The 8th International Workshop on Sentiment Analysis and Mining of Social Networks (SAMSN 2025)
http://emergingtechnet.org/SNAMS2025/Workshops/SAMSN2025/ 

The International Workshop on Cognitive and Neural Systems (CNS 2025)
http://emergingtechnet.org/SNAMS2025/Workshops/CNS2025/index.php

 

Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format (IEEE Templates). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification.   All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceedings, and be submitted to IEEE for inclusion.

Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers

Important Dates

Submission Date: 30 June 2025
Notification to Authors: 10 September 2025
Camera Ready and Registration: 30 September 2025

Please send any inquiry to the SNAMS Team at: intelligenttechorg@gmail.com

 

Read More »

1st CFP: Special Issue on Knowledge Discovery from Graphs – Springer Data Mining and Knowledge Discovery (Q1)

June 17th, 2025 Daniela Lopez de Luise
# Call for Papers #

Special Issue on Knowledge Discovery from Graphs

Springer Data Mining and Knowledge Discovery Journal

# Important Dates #
  • Submissions open: June 9, 2025
  • Submissions close: October 13, 2025
  • First-round review decisions: January 19, 2026
  • Deadline for revised submissions: April 13, 2026
  • Notification of final decisions: June 8, 2026

Submissions that are received before the first deadline will be directly sent out for review.

# Introduction #
The rapidly advancing research on Knowledge Discovery from Graphs (KDG) highlights the growing adoption of graph data structures. Representing information as nodes interconnected by diverse relationships enables the extraction of rich features and the inference of actionable insights. This special issue seeks to bring together research spanning various domains where the use of graph data drives advancements in data mining and knowledge discovery. As graphs continue to revolutionize numerous fields, this special issue aims to attract a broad and diverse group of stakeholders, including researchers, developers, and practitioners. By doing so, it also promotes cross-disciplinary and interdisciplinary dialogues, addressing the pervasive influence of KDG across a wide range of disciplines.
The primary objective of this special issue is to provide researchers with a dedicated platform to share their studies on graph data and graph-based technologies. This addresses the notable absence of a focused venue within the data mining and knowledge discovery community, despite the increasing attention these topics have received. The issue aims to foster a collaborative environment that advances research on leveraging graphs, not only as a powerful analytical tool but also as a means to showcase the unique benefits interconnected networks offer compared to other data structures.
This special issue of Springer Data Mining and Knowledge Discovery (DMKD) welcomes submissions that demonstrate the cutting-edge adoption of graph data and technologies in real-world applications, propose novel theoretical frameworks for knowledge extraction from graphs, and explore additional dimensions of graph-based algorithms, including responsible AI.
Submissions may include original research articles, case studies, and surveys that advance the state of the art in KDG.
# Topics #

We invite submissions on a range of topics:

Algorithm Design and Graph Representations

  • Novel algorithms for scalable graph mining and analysis.
  • Advances in graph embeddings and graph representation learning (e.g., GNNs).
  • Efficient processing of large-scale, heterogeneous, and dynamic graphs.
  • Integration of temporal and spatial information in graph models.
  • Graph kernels, summarization/coarsening, alignment.
  • Graph language, generative, and foundation models.

Evaluation and Benchmarks

  • New metrics and benchmarks for graph mining and learning methods.
  • Empirical evaluations of graph-based systems in real-world scenarios.
  • Analysis of robustness and reliability in graph-based decision systems.

Applications of Knowledge Discovery from Graphs

  • Real-world case studies in social media analysis (e.g., misinformation propagation), recommender systems, and computer vision.
  • Knowledge graph construction and its use in information retrieval and natural language processing (e.g., retrieval augmented generation with graphs).
  • Applications in financial security (e.g., fraud detection), cybersecurity (e.g., malware detection/propagation), and graph ML platforms (e.g., in-database machine learning).
  • Use of graph-based techniques in bioinformatics (e.g., drug discovery), transportation/mobility networks (e.g., traffic prediction), and climate science (e.g., global weather forecasting).

Beyond Accuracy in Knowledge Discovery from Graphs

  • Interpretable and explainable graph-based methodologies.
  • Robustness and adversarial attacks on graphs.
  • Responsible AI (e.g., fairness, bias) on graph neural networks.
  • Generalization of graph-based approaches on unseen nodes and graph structures.

Emerging Trends and Interdisciplinary Approaches

  • Fusion of graph learning with other machine learning paradigms (e.g., federated learning, reinforcement learning).
  • Use of knowledge discovery techniques in dynamic and evolving graphs.
  • Cross-disciplinary approaches combining KDG with fields like neuroscience, urban planning, and environmental science.

We welcome original research papers, case studies, and review articles that contribute to the body of knowledge in these areas.

# Guest Editors #

Free and Online National Level Webinar: Cybersecurity, Ethical Hacking, and Network Security

June 17th, 2025 Daniela Lopez de Luise
National Level Webinar: Cybersecurity, Ethical Hacking, and Network Security
The Department of Artificial Intelligence at Utkarsh Minds Technologies is excited to present a free webinar on:
– *Cybersecurity, Ethical Hacking, and Network Security*
Details
– Date: June 14, 2025
– Time: 4:00 PM IST
– Mode: Online
Webinar Highlights
– Explore the latest trends and techniques in cybersecurity
– Learn about ethical hacking and network security
– Gain insights from experts in the field
Registration
Contact
– For further queries, please reach out to:
    – Pranav Nerurkar: 9619997797
Join us to enhance your knowledge in cybersecurity and stay ahead in the field!

Warm and Kind regards,

Pranav A. NERURKAR

Specialist – AI & Data science
UTKARSH MINDS
+91 961-999-77-97

pranav.nerurkaramandine.deplantes@igonogo.io” style=”color:rgb(17,85,204)” target=”_blank”>@utkarshminds.com

www.utkarshminds.com

Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai – 400066

Read More »

Call for Participation: ICCV’25 AIM challenges

June 17th, 2025 Daniela Lopez de Luise
We cordially invite you to participate in our

To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the above challenge pages and the NTIRE 2025 web page:

https://www.cvlai.net/aim/2025/

● Competitions end: July 9, 2025 (EXTENDED)


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