Connectionists: CfP: The 4th Workshop on "Precognition: Seeing through the Future" @ CVPR 2022

[Nemanja Djuric]

Call for Workshop Papers


The 4th Workshop on "Precognition: Seeing through the Future"

in conjunction with

The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)

New Orleans, June 19th-24th, 2022

https://sites.google.com/view/ieeecvf-cvpr2022-precognition


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Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in 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.


The 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, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications.


This is the fourth Precognition workshop organized at CVPR. It follows very successful workshops organized since 2019, which 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 websites of earlier Precognition workshops, linked at the workshop website.


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Topics:


The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop 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 Covid-19 prediction in medical imaging

- Visual DeepFake prediction

- Short- and long-term prediction and diagnoses in medical imaging

- Prediction of agricultural parameters from satellite imagery

- Databases, evaluation and benchmarking in precognition


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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. There are two ways to contribute submissions to the workshop:


- Extended abstracts 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. Extended abstracts of already published works can also be submitted. Accepted abstracts will be presented at the poster session, and 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 (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings.


Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2022


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Important Deadlines:

Submission     :  March 19th, 2022

Decisions         :  April 4th, 2022

Camera-ready :  April 8th, 2022

Workshop        :  June 19th, 2022 (subject to change by the CVPR organizers)


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Program Committee Chairs:

- Dr. Khoa Luu (University of Arkansas)

- Dr. Kris Kitani (Carnegie Mellon University)

- Dr. Hien Van Nguyen (University of Houston)

- Dr. Nemanja Djuric (Aurora Innovation)

- Dr. Utsav Prabhu (Google)


For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com.

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