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Imagery-related Challenges in Generative AI and Large Language Models
Note: The 2025 AIPR Workshop proceedings will be published by Springer’s Lecture Notes in Computer Science Series.
Dates: October 13–14, 2025
Location: George Washington University, Science and Engineering Hall, Washington, D.C.
Proceedings Publisher: Springer Lecture Notes in Computer Science (LNCS)
Registration Fee: $300 (subject to change)
Registration Opens: Register Here
Abstract submission is now open via EDAS: Submit Abstract
Online Article Submission: (coming soon)
Organizing Committee
Conference Chair: Steve Israel
Deputy Chair: Andrew Kalukin
Program Chairs: John Irvine, Franklin Tanner
Treasurer: Shuyue Guan
Web Admin: Mohammad Zarei
Article Submission Guidelines (for LNCS Proceedings)
Article Submission Guidelines (for LNCS Proceedings)
AIPR 2025 papers will be published in Springer’s Lecture Notes in Computer Science (LNCS) series.
Authors whose papers are accepted for the proceedings will need to submit the following materials:
Word or LaTeX file of the article, formatted using the official Springer LNCS template. (This link replaces the IEEE template previously listed.)
PDF version of the article (for typesetters’ reference to verify chart/graph rendering).
Source files for all figures, charts, and graphs (e.g., .eps, .svg, .pptx, .xlsx, etc.).
Signed License to Publish: Download the License to Publish form for LNCS, available under the section “Licence to Publish form for LNCS, CCIS or LNBIP.”
Please ensure all documents are prepared according to the guidelines outlined in the Springer Conference Proceedings Guidelines.
The Applied Imagery Pattern Recognition (AIPR) Workshop has a long-standing tradition of bringing together researchers, practitioners, and thought leaders from government, industry, and academia to exchange ideas and showcase innovations in the field of image and pattern analysis. The workshop provides a unique environment that fosters meaningful technical discussions across a wide range of applications — from foundational research to real-world deployed systems.
Now in its 53rd year, AIPR 2025 continues to pioneer emerging topics in applied imagery and visual understanding. This year’s theme, “Imagery-Related Challenges in Generative AI and Large Language Models,” highlights the accelerating impact of generative technologies on imagery, video, and text understanding.
With the rise of large-scale models like GPT, DALL·E, and diffusion-based architectures, artificial intelligence (AI) and machine learning (ML) are redefining how we generate, interpret, and interact with visual data. Techniques once anchored in supervised learning are now increasingly driven by self-supervised, transfer, and reinforcement learning — all of which require vast amounts of labeled or synthetic data. The availability of simulation platforms and content generation tools from leaders like NVIDIA, Meta, Microsoft, Apple, OpenAI, Epic Games, and others has democratized access to synthetic data and enabled new frontiers in AI development.
AIPR 2025 invites contributions on a broad spectrum of topics including:
Generative AI for image and video analysis
Large language models applied to imagery understanding
Multimodal fusion and reasoning
Deep fakes, adversarial robustness, and explainability
Synthetic, augmented, and real-world datasets
Applications spanning national security, healthcare, environmental science, robotics, geospatial analysis, and more
Join us this October at George Washington University in Washington, DC, to explore how the convergence of generative AI, vision, and language is shaping the future of pattern recognition and beyond.
Call for Abstracts: https://edas.info/N34047
Online Final Paper submission line and link (TBD)
Author Deadlines:
Abstract Submission Deadline: July 11, 2025 (Submit your abstract through EDAS: https://edas.info/N34047)
Notification of Acceptance: August 15, 2025
Final Paper Submission Deadline: October 22, 2025
* If a submission is accepted, at least one author is required to register for AIPR 2025 and present the paper.
Registration Link for AIPR 2025
Please email us if you need assistance with registration.
For questions regarding author submissions, please contact:
📧 chair@aipr-workshop.org
📧 program-chairs@aipr-workshop.org
AIPR is organized by the AIPR Workshop Committee, with generous support from:
AIPR is organized by the AIPR Workshop Committee, with generous support from:
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