Bachelor's Theses
- Lars Bösch: Suppressing the Extraction of Features from Unknown Samples
- Dennys Huber: OpenMax with Clustering for Open-Set Classification
Master's Theses
- Simon Giesch: Negative Sample Handling for Improved Open-Set Classification
- Yuning Yu: Learning Semantics of Classes in Image Classification
- Sarah Feuz: Effective Negative Samples for Open-Set Classification
- Melih Catal: Does Adversarial Training improve Adversarial Stability?
- Melanie Salzer: Adversarial Stability of Open-Set Deep Networks
- He Liu: Open-set Classification for Human Activity Recognition using Wrist-worn Accelerometers
- Michèle Fundneider: Improving Demographic Fairness of Deep Face Recognition through Balanced Training
- He Liu: Open-set Classification for Human Activity Recognition using Wrist-worn Accelerometers
- Agnar Pétursson: Visualization of Image Similarities in Face Recognition Systems
- Joel Watter: Facial Attribute Classification in Degraded Images
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