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Department of Computer Science & Engineering
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Graphics & Vision
Graphics & Vision
Graphics and vision define the relationship between the physical real-world and conceptual images. Both fields have applications to film and media, robotics and medicine.
Research
Surface modeling
Tools and techniques for computer art
Manifold learning
Surveillance and medical imaging
Geometric modeling
Mesh processing
Visualization
Biomedical modeling
Laboratory
Media and Machines Lab
Faculty
Cindy Grimm
Tao Ju
Robert Pless
Research
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Computer Engineering & VLSI
Networking & Communications
Software Systems
Artificial Intelligence
Human-Computer Interaction
Graphics & Vision
Robotics
Computational Systems Biology
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