David Stutz
In September, I was honored to receive the MINT-Award IT 2018, sponsored by ZF and audimax, for my master thesis on weakly-supervised shape completion. For CVPR 2019, however, I am working on a different topic: adversarial robustness and generalization of deep neural networks.
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David Stutz
Robust and trustworthy artificial intelligence and computer vision research and engineering
10 posts · theirs
Lately
Domain-Specific AI Should Focus on Workflows Rather Than Modeling
AI Evaluation is Becoming an Exciting Standalone Discipline
RAISE 2025 Panel Statement on Aligning AI to Clinical Values
Some Lessons on Reviews and Rebuttals
Thoughts on Watermarking AI-Generated Content
Thoughts and Lessons for Planning Rater Studies in AI
Open-Sourcing Relabeled MedQA and Dermatology DDx Datasets
Thinking About Research Ideas vs. Technology
The Importance of Effectively Experimenting in an AI PhD
FAQ for our Monte Carlo Conformal Prediction
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