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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Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
arXiv preprint arXiv:2402.10962. -
R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
European Conference on Computer Vision (ECCV). -
S3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
IEEE International Symposium on Biomedical Imaging (ISBI). -
Learning Gaze-aware Compositional GAN from Limited Annotations
ACM Symposium on Eye Tracking Research & Applications (ETRA).