Alex Bäuerle

26 papers A* 2C 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Abstract: Your other Left! Vision-language Models Fail to Understand Relative Positions in Medical Images.
Bildverarbeitung für die Medizin
Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski
2025 J jnl
A Survey on Quality Metrics for Text-to-Image Generation.
IEEE Trans. Vis. Comput. Graph.
Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
2025 — conf
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images.
MICCAI (5)
Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski
2025 J jnl
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images.
CoRR
Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski
2024 J jnl
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics.
CoRR
Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
2024 — conf
Humboldt: Metadata-Driven Extensible Data Discovery.
VLDB Workshops
Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker
2024 J jnl
Humboldt: Metadata-Driven Extensible Data Discovery.
CoRR
Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker
2024 J jnl
mint: Integrating scientific visualizations into virtual reality.
J. Vis.
Sergej Geringer, Florian Geiselhart, Alex Bäuerle, Dominik Dec, Olivia G. Odenthal, Guido Reina, Timo Ropinski, Daniel Weiskopf
2023 J jnl
An In-depth Look at Gemini's Language Abilities.
CoRR
Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig
2023 — conf
Semantic Hierarchical Exploration of Large Image Datasets.
EuroVis (Short Papers)
Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski
2023 A* conf
VegaProf: Profiling Vega Visualizations.
UIST
Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp
2023 — —
Visualization-based neural network introspection.
Alex Bäuerle
2023 J jnl
exploRNN: teaching recurrent neural networks through visual exploration.
Vis. Comput.
Alex Bäuerle, Patrick Albus, Raphael Störk, Tina Seufert, Timo Ropinski
2022 J jnl
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts.
CoRR
Alex Bäuerle, Daniel Jönsson, Timo Ropinski
2022 A* conf
Symphony: Composing Interactive Interfaces for Machine Learning.
CHI
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
2022 J jnl
Symphony: Composing Interactive Interfaces for Machine Learning.
CoRR
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
2022 J jnl
VegaProf: Profiling Vega Visualizations.
CoRR
Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp
2022 J jnl
Visual Identification of Problematic Bias in Large Label Spaces.
CoRR
Alex Bäuerle, Aybuke Gul Turker, Ken Burke, Osman Aka, Timo Ropinski, Christina Greer, Mani Varadarajan
2022 J jnl
Where did my Lines go? Visualizing Missing Data in Parallel Coordinates.
Comput. Graph. Forum
Alex Bäuerle, Christian van Onzenoodt, Simon der Kinderen, Jimmy Johansson Westberg, Daniel Jönsson, Timo Ropinski
2021 C conf
Measuring Model Biases in the Absence of Ground Truth.
AIES
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
2021 J jnl
Measuring Model Biases in the Absence of Ground Truth.
CoRR
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
2021 J jnl
Net2Vis - A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations.
IEEE Trans. Vis. Comput. Graph.
Alex Bäuerle, Christian van Onzenoodt, Timo Ropinski
2020 J jnl
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks.
Comput. Graph. Forum
Alex Bäuerle, Heiko Neumann, Timo Ropinski
2020 J jnl
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration.
CoRR
Alex Bäuerle, Raphael Störk, Timo Ropinski
2019 J jnl
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations.
CoRR
Alex Bäuerle, Timo Ropinski
2018 J jnl
Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data.
CoRR
Alex Bäuerle, Heiko Neumann, Timo Ropinski