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The 8th IEEE/CVF CVPR Precognition Workshop
Precognition: Seeing through the Future
Precognition: Seeing through the Future
in conjunction with
in conjunction with
Denver, June 3rd - 15th, 2025
Denver, June 3rd - 15th, 2025
Topics of the Workshop
Topics of the Workshop
Vision-based detection and recognition studies have been recently achieving highly accurate performance and were able to bridge the gap between research and real-world applications. Beyond these well-explored detection and recognition capabilities of modern algorithms, vision-based forecasting will likely be one of the next big research topics in the field of computer vision. Vision-based prediction is one of the critical capabilities of humans, and the potential success of automatic vision-based forecasting will empower and unlock human-like capabilities in machines and robots.
One important application is in autonomous driving technologies, where vision-based understanding of a traffic scene and prediction of movement of traffic actors is a critical piece of the autonomous puzzle. Various sensors, such as cameras and lidars, are used as the "eyes" of a vehicle, and advanced vision-based algorithms are required to allow safe and effective driving. Another area where vision-based prediction is used is the medical domain, allowing deep understanding and prediction of future medical conditions of patients. However, despite its potential and relevance for real-world applications, visual forecasting or precognition has not been the focus of new theoretical studies and practical applications as much as detection and recognition problems.
Through the organization of this workshop, we aim to facilitate further discussion and interest within the research community regarding this nascent topic. This workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos but also precognition in multiple other visual applications, such as medical imaging, healthcare, human face aging prediction, early event prediction, autonomous driving forecasting, etc.
In this workshop, the topics of interest include but are not limited to:
Early event prediction
Activity and trajectory forecasting
Multi-agent forecasting
Human behavior and pose prediction
Human face aging prediction
Predicting frames and features in videos and other sensors in autonomous driving
Traffic congestion anomaly prediction
Automated disease prediction in medical imaging
Visual DeepFake prediction
Short- and long-term prediction and diagnoses in medical imaging
Prediction of agricultural parameters from satellite, drone, and ground imagery
Databases, evaluation, and benchmarking in precognition
This is the seventh Precognition workshop organized at CVPR. It follows very successful workshops organized since 2019, which all featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the 2019, 2020, 2021, 2022, 2023, 2024, and 2025 workshop websites.
Important Dates (anywhere on Earth)
Important Dates (anywhere on Earth)
Paper submission deadline: March 25th, 2026
Notification to authors: April 7th, 2026
Camera-ready deadline: April 11th, 2026
Video presentation submission: May 10th, 2026
Workshop: June 3rd or 4th, 2026 (subject to change by the CVPR organizers)
Invited Speakers (TBA)
Invited Speakers (TBA)
Program (TBA)
Program (TBA)
Submission Instructions
Submission Instructions
All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. Information about formatting and style files is available here. There are two ways to contribute submissions to the workshop:
Extended abstract submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages (including references). Extended abstracts of already published works can also be submitted. Accepted abstracts will not be included in the printed proceedings of the workshop.
Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed. Accepted papers will be presented in an oral session. All accepted full papers will be published by the CVPR in the workshop proceedings.
Submission website: OpenReview
Organizers
Organizers
For questions please contact the organizers at precognition.organizers@gmail.com.
Program Committee (TBA)
Program Committee (TBA)
It was an in-person and virtual workshop for the paper presentations, the posters, and the talks.
It was an in-person and virtual workshop for the paper presentations, the posters, and the talks.
It was an in-person and virtual workshop for the paper presentations, the posters, and the talks.
It was a virtual workshop for the paper presentations, the posters, and the talks. Google generously sponsored to reward the authors of the best paper.
It was a virtual workshop for the paper presentations, the posters, and the talks. Google generously sponsored to reward the authors of the best paper.
It was a virtual workshop for the paper presentations, the posters, and the talks. Uber ATG generously sponsored to reward the authors of the best paper and the best student paper.
There were about 300 attendees for the paper presentations, the posters, and the talks. Uber ATG generously sponsored to reward the authors of the best paper and the best student paper.
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