Visual Computing Group

2019

Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data

Krueger R, Beyer J, Jang W, Kim NW, Sokolov A, Sorger PK, and Pfister H — To appear in IEEE Transactions on Visualization and Computer Graphics.
FDive: Learning Relevance Models using Pattern-based Similarity Measures

Dennig F, Polk T, Lin Z, Schreck T, Pfister H, and Behrisch M — To appear in IEEE Transactions on Visualization and Computer Graphics.
- Visual Analytics
Guiro: User-Guided Matrix Reordering

Behrisch M, Pfister H, and Schreck T — To appear in IEEE Transactions on Visualization and Computer Graphics.
- Visual Analytics
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference

Gehrmann S, Strobelt H, Krueger R, Pfister H, and Rush AM — To appear in IEEE Transactions on Visualization and Computer Graphics.
Bird’s-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Data

Krueger R, Han Q, Ivanov N, Mahtal S, Thom D, Pfister H, and Ertl T — Computer Graphics Forum.

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models

Strobelt H, Gehrmann S, Behrisch M, Perer A, Pfister H, and Rush AM — IEEE transactions on visualization and computer graphics.
- Visual Analytics
- Awards
Visual Pattern-Driven Exploration of Big Data

Behrisch M, Krüger R, Lekschas F, Schreck T, Gehlenborg N, and Pfister H — IEEE Symposium on Big Data Visual Analytics.
- Visual Analytics
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

Strobelt H, Gehrmann S, Pfister H, and Rush AM — IEEE Transactions on Visualization and Computer Graphics.
- Information Visualization
- Visual Analytics