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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A Topological Nomenclature for 3D Shape Analysis in Connectomics
— The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.
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SportsXR - Immersive Analytics in Sports
— 4th Workshop on Immersive Analytics: Envisioning Future Productivity for Immersive Analytics at ACM CHI.
News
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Harvard VCG
@HarvardVCGFantastic collaboration with @danielhaehn from @UMassBoston on Fast Mitochondria Detection for Connectomics. Check… SPOTLIGHT at #MIDL2020: Fast Mitochondria Detection for Connectomics! We release two new benchmark datasets and a s… @danielhaehn -
Harvard VCG
@HarvardVCG🎉 We are honored to share that @hpfister has been elected to ACM SIGGRAPH Academy @siggraph for “diverse contributi… -
Harvard VCG
@HarvardVCGRT @flekschas: Wow! 🤩 We're honored that our paper on Visual Pattern Search in Sequential Data received the Best Paper Award at #EuroVis202… -
Harvard VCG
@HarvardVCGRT @flekschas: I am happy to share our forthcoming EuroVis paper on Interactive Visual Pattern Search in Sequential Data Using Unsupervised… -
Harvard VCG
@HarvardVCGRT @ticahere: Would've been in Hawaii for my first @sig_chi as a student volunteer today! Although not in person, I'm still very excited to…