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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TimeTubesX: A Query-Driven Visual Exploration of Observable, Photometric, and Polarimetric Behaviors of Blazars
— IEEE Transactions on Visualization and Computer Graphics.
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On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
— arXiv preprint arXiv:2007.08032.
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News
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Harvard VCG
@HarvardVCGCongrats to our own Fritz Lekschas @flekschas for being named Seibel Scholars Class of 2021! #SeibelClassof2021… We are thrilled to announce the #SiebelScholars Class of 2021. Congratulations to this exceptional community direct… @SiebelScholars -
Harvard VCG
@HarvardVCGWonderful work from @SalmaMagid @hpfister on new channel embedding method for informative protein identification f… -
Harvard VCG
@HarvardVCGExcellent work from our own @spandan_madan and @hpfister on the Capability of Neural Networks to Generalize to Unse… Humans easily recognize new objects in unseen poses, but can CNNs? Our new work with @hpfister , @fredodurand , and… @spandan_madan -
Harvard VCG
@HarvardVCGRT @flekschas: I'm excited to present our work on interactive visual pattern search in #epigenomic data using deep representation learning… -
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