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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DXR: A Toolkit for Building Immersive Data Visualizations
— IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Information Visualization 2018).
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Culling for Extreme-Scale Segmentation Volumes: A Hybrid Deterministic and Probabilistic Approach
— "IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Scientific Visualization 2018)".
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Efficient Correction for EM Connectomics with Skeletal Representation
— British Machine Vision Conference (BMVC).
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Guided Proofreading of Automatic Segmentations for Connectomics
— The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
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Learning and Using the Arrow of Time
— Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
News
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Harvard VCG
@HarvardVCGRT @danielhaehn: Great milestone! Congrats!! 🍾🥇 -
Harvard VCG
@HarvardVCGRT @danielhaehn: ❤️💜💚💙🖤 -
Harvard VCG
@HarvardVCGGo, Fritz, Go! #HiC #BioVis #ResearchOnTheRoad ✈️ Heading to #ISMB2018 now. I am excited to talk about exploration of many local features in genome interaction ma… @flekschas -
Harvard VCG
@HarvardVCGAnd our own Donglai is there as well!! J4 #CVPR18 #CVPR2018 #vision -
Harvard VCG
@HarvardVCGPoster J21 today @cvpr - “Guided Proofreading of Automatic Segmentations for Connectomics”