Conference Information

AIPR' 2026: Applied Imagery Pattern Recognition Workshop

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Submission Date:
2026-08-11
Notification Date:
2026-08-15
Conference Date:
2026-10-12
Location:
Washington DC, USA
Years:
Viewed: 13445   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

56.8 / 100
Ranked #737 of 5,681 conferences · Top 13%

#28 of 244 in Computer Vision & Pattern Recognition

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
100
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 54 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-13

Call For Papers

AIPR' 2026 (Applied Imagery Pattern Recognition Workshop) is an academic conference held in Washington DC, USA on 2026-10-12. The paper submission deadline is 2026-08-11. Acceptance notifications are sent on 2026-08-15.

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 54th year, AIPR 2026 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 2026 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 Deepfakes, adversarial robustness, and explainability Synthetic, augmented, and real-world datasets Applications spanning national security, healthcare, environmental science, robotics, geospatial analysis, and more
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