Submissions regarding the analysis and understanding of human object interactions in images and videos re welcome to our workshop. The following topics serve as examples:

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.

All the papers should be submitted at

https://cmt3.research.microsoft.com/HOIEGOEXO2025

The maximum number of pages is 12 including references. While preparing their contributions, authors must follow guidelines and technical instructions provided by the ICIAP 2025 conference that can be found at:  https://www.iciap.org/calls/call-for-papers

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.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

• 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