Computer Vision
Faculty
- Courant Institute School of Mathematics, Computing, and Data Science: Joan Bruna, Kyunghyun Cho, Rob Fergus, David Fouhey, Daniele Panozzo, Jean Ponce, Mengye Ren, Claudio Silva, Denis Zorin;
- NYU Grossman School of Medicine: Daniel Sodickson;
- Tandon School of Engineering: Chen Feng, David Fouhey, Claudio Silva, Daniel Sodickson, Yao Wang;
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Automation and Intelligence for Civil Engineering Laboratory
The lab of Automation and Intelligence for Civil Engineering (AI4CE, pronounced as “A-I-force”) is a multidisciplinary research group at New York University that focuses on advancing fundamental automation and intelligence technologies, and addressing challenges of their applications in civil and mechanical engineering.
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Center for Advanced Imaging Innovation and Research
The Center for Advanced Imaging Innovation and Research, or CAI2R (pronounced care), is a Biomedical Technology Resource Center funded by the The National Institute of Biomedical Imaging and Bioengineering (NIBIB) at National Institutes of Health, and operated by the Department of Radiology at NYU Langone Health.
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Computational Intelligence, Learning, Vision, and Robotics (CILVR)
The CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) regroups faculty members, research scientists, postdocs, and students working on AI, machine learning, and a wide variety of applications, notably computer perception, natural language understanding, robotics, and healthcare.
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Geometric Computing Lab
We develop algorithms and mathematical foundations for computational problems involving complex geometry. Our emphasis is on development of robust and scalable algorithms applicable to a broad range of problems. We work on techniques for key geometry processing problems, such as parametrization and meshing, and on a diverse set of applications in computer graphics, scientific computing (complex flows in particular), and computational fabrication. We strive to make the software, datasets, and educational materials resulting from our research and teaching activities freely available.
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NYU Video Lab
The NYU Video Lab is led by Prof. Yao Wang and consists of about 10 Ph.D. and M.Sc. students. Research activities in our lab encompass many areas related to video processing and communication, medical image analysis and computer vision.
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Visualization Imaging and Data Analysis Center (VIDA)
The Visualization and Data Analytics Research Center at NYU consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data sources and data types demand. We work in the areas of Visualization, Imaging and Data Analysis.
