Pontificia Universidad Javeriana
Computer vision has recently made rapid progress, achieving a level of performance that was unexpected just a few years ago. This technology has opened possibilities in many real-world domains, including transportation, entertainment and safety. While these applications give value to our technology, research to date has predominantly focused on a few geographic regions, primarily the United States and Europe, raising concerns of globally unrepresented datasets, tasks and ultimately the direction of the field.
Parallel to this, internet penetration and mobile phone usage has dramatically increased throughout the world. Simple feature phones, often with cameras, are particularly pervasive in low- and middle-income countries, providing new entry points to address long-standing development challenges in areas like health, agriculture and education. The computer vision community could aid these efforts, but complex technical challenges prevent progress.
Pontificia Universidad Javeriana
Information Technology University
Applications Are Currently CLosed
Notifications will be sent by email to applicants in June and the award winners will be announced during the Computer Vision for Global Challenges Workshop at CVPR ‘19.
Facebook is calling for proposals for pilot and early-stage research that extends computer vision technologies in developing countries1. We specifically seek projects that address the technical challenges impeding computer vision in these contexts, including data and hardware limitations and better integration of new information sources, such as high-resolution satellite imagery. Competitive applications will similarly leverage computer vision to achieve global development priorities, especially those captured in the United Nations Sustainable Development Goals. Illustrative computer vision applications for delivering this type of social impact include (but are not limited to) the following:
Facebook aims to support projects that align with our mission, past research, open source tools and state-of-the-art algorithms. Awards will be made in amounts ranging from $20,000 to $40,000 for projects up to 6 months in duration. Our goal is to support the implementation of computer vision applications, which require further testing, pilot data and/or partnership development. Applicants requesting higher budget amounts, however, will need to demonstrate more robust research designs, novelty and potential to achieve impact. No Facebook data will be provided to award recipients.
We encourage proposals from teams that include institutions, researchers and non-profits in developing regions.
This opportunity is open to applicants worldwide from academic and/or research institutions that are eligible for research funding. This includes individual researchers addressing a well-defined problem, or multiple university departments. We encourage emerging scholars to apply.
Additional provisions are listed below.
This RFP is launched in conjunction with Computer Vision for Global Challenges (CV4GC), a multi-stakeholder initiative to bring the computer vision community closer to socially impactful tasks, datasets and applications. CV4GC will convene a workshop at 2019 Conference onComputer Vision and Pattern Recognition to be held in Long Beach, California June 16–21. Successful applicants may be invited to join this workshop and present their projects; however, proposals do not need to include conference travel costs.
For additional questions related to this RFP, please email firstname.lastname@example.org.
Interested researchers, institutions and non-profits with computer vision or domain knowledge are also encouraged to join the Computer Vision for Global Challenges Facebook group and start engaging in discussion and sharing ideas and resources.