Precognition: Seeing through the Future Call for Papers

Call for Workshop Papers

The 3rd Workshop on "Precognition: Seeing through the Future"
in conjunction with
The 34th IEEE/CVF Conference on 
Computer Vision and Pattern Recognition (CVPR 2021)
Virtual conference, June 19th-25th, 2021
https://sites.google.com/view/ieeecvf-cvpr2021-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 third Precognition workshop organized at CVPR. It follows
very successful workshops organized in 2019 and 2020, 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
Precognition 2019 and Precognition 2020, 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. 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/PRECOGNITION2021

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Important Deadlines:
Submission     :  March 28th, 2021
Decisions         :  April 12th, 2021
Camera-ready :  April 17th, 2021
Workshop        :  June 19th, 2021 (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. Minh Hoai Nguyen (Stony Brook 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@gmail.com.