Call For Workshop Papers 

We invite researchers and industry professionals to submit original papers related to the OEL-IP workshop at 2025 ICIP. Papers should be formatted according to the IEEE templates.

Workshop Organizers 

About the OEL and OEL-IP Workshop

Online Evolutive Learning (OEL) is a groundbreaking paradigm in artificial intelligence, offering real-time adaptability and autonomous model optimization through multi-agent interaction and dynamic environmental adaptation. Unlike traditional machine learning approaches that struggle with shifting data distributions, OEL integrates principles from control theory, communication systems, and distributed intelligence to maintain robustness. This is especially critical in image processing, where rapid changes in lighting, sensor performance, and adversarial conditions demand flexible, evolving models.

The OEL and OEL-IP Workshop addresses three key challenges: the lack of adaptive mechanisms in standard image processing pipelines, the need for cross-disciplinary synergy among machine learning, control theory, and communication systems, and the growing demand for ethical, transparent model deployment. By bringing these diverse domains together, the workshop establishes standardized evaluation metrics, promotes effective collaboration, and offers practical guidance on responsible data usage.

Focusing on four core areas—dynamic environment adaptation, edge-cloud collaborative learning, multimodal foundation models, and ethical transparency—the workshop will feature keynote talks, panel discussions, a satellite image time-series adaptation competition, and a collaborative whitepaper on medical imaging. Industry leaders and academic experts will share best practices, explore new avenues for real-world applications, and discuss open challenges such as catastrophic forgetting and communication latency in distributed systems.

Building on the success of previous OEL events, this workshop will foster innovative dialogue, encourage international collaboration, and pave the way for next-generation adaptive visual intelligence systems. By unifying previously siloed research efforts, the OEL and OEL-IP Workshop aspires to establish OEL as a cornerstone methodology for future image processing solutions.