The Visual Computing Group, led by Hanspeter Pfister, explores and provides visual analysis tools and methods to help scientists and researchers better process and understand large, multi-dimensional data sets in various domains such as neuroscience, genomics, systems biology, astronomy, and medicine.
Projects
Latest Publications
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Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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FDive: Learning Relevance Models using Pattern-based Similarity Measures
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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Guiro: User-Guided Matrix Reordering
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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SAX Navigator: Time Series Exploration through Hierarchical Clustering
— 2019 IEEE Visualization Conference, Short Papers.
News
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Harvard VCG
@HarvardVCG🥉 Last but not least is a project by Jared Jessup, Kelly Wang, Yuefeng Cui, and Kaitlyn Germain on visualizing Afri… -
Harvard VCG
@HarvardVCG🥈 The honorable mention award goes to Lucy Yip, Guangyu Du, and Runjia Tian for their beautiful work on Loneliness… -
Harvard VCG
@HarvardVCG🥇 Huge congrats to Rachel Moon, Benjamin Levy, Pat Sukhum, and Kevin Ji Whan Yoon for their fantastic work on visua… -
Harvard VCG
@HarvardVCG🏆 We're so excited to share this year's 3 best projects from @hpfister's visualization class (CS171) with you! The… -
Harvard VCG
@HarvardVCGWe have an exciting news to share! Our wonderful @hpfister got elected as 2019 ACM Fellow for contributions to volu…