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Call for Workshop Papers</div>
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<div class="ContentPasted0">The 5th Workshop on "Precognition: Seeing through the Future"</div>
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<div class="ContentPasted0">in conjunction with</div>
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<div class="ContentPasted0">The 36th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)</div>
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<div class="ContentPasted0">Vancouver, June 18th-22nd, 2023</div>
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<div class="ContentPasted0">https://sites.google.com/view/ieeecvf-cvpr2023-precognition</div>
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<div class="ContentPasted0">=================</div>
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<div class="ContentPasted0">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.</div>
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<div class="ContentPasted0">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.</div>
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<div class="ContentPasted0">This is the fifth 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.</div>
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<div class="ContentPasted0">Topics:</div>
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<div class="ContentPasted0">The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to:</div>
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<div class="ContentPasted0">- Automated Covid-19 prediction in medical imaging</div>
<div class="ContentPasted0">- Visual DeepFake prediction</div>
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<div class="ContentPasted0">- Databases, evaluation and benchmarking in precognition</div>
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<div class="ContentPasted0">Submission Instructions:</div>
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<div class="ContentPasted0">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:</div>
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<div class="ContentPasted0">- 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.</div>
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<div class="ContentPasted0">- 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.</div>
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<div class="ContentPasted0">Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2023</div>
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<div class="ContentPasted0">Important Deadlines:</div>
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<div class="ContentPasted0">Submission : March 19th, 2023</div>
<div class="ContentPasted0">Decisions : April 3rd, 2023</div>
<div class="ContentPasted0">Camera-ready : April 8th, 2023</div>
<div class="ContentPasted0">Workshop : June 18th, 2023 (subject to change by the CVPR organizers)</div>
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<div class="ContentPasted0">Program Committee Chairs:</div>
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<div class="ContentPasted0">- Dr. Khoa Luu (University of Arkansas)</div>
<div class="ContentPasted0">- Dr. Nemanja Djuric (Aurora Innovation)</div>
<div class="ContentPasted0">- Dr. Kris Kitani (Carnegie Mellon University)</div>
<div class="ContentPasted0">- Dr. Utsav Prabhu (Google)</div>
<div class="ContentPasted0">- Dr. Hien Van Nguyen (University of Houston)</div>
<div class="ContentPasted0">- Dr. Junwei Liang (HKUST, Guangzhou) </div>
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<div class="ContentPasted0">For further questions please contact a member of the organizing committee at precognition.organizers@gmail.com.</div>
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